Cross-Border versus Domestic Acquisitions and the Impact on Shareholder Wealth
Abstract
Abstract: We analyse the impact on targets and bidders from cross-border acquisitions into and out of the UK, in comparison to companies involved in similar domestic acquisitions. We find both targets and bidders to gain more in cross-border than in comparable domestic acquisitions, with target and bidder cross-border effects of 10.1 and 1.5 percentage points, respectively. The cross-border effect is significantly higher for targets acquired by companies from countries with superior governance systems to their own. There is weak evidence to suggest bidders gain from entering new markets but for targets to gain more where the bidder already operates in the target country.
1. INTRODUCTION
Deregulation and increased globalisation have resulted in substantial increases in the level of cross-border acquisitions throughout the world. Indeed, cross-border acquisitions now account for more than 80% of all foreign direct investment in industrialised markets (Conn et al., 2005). With the UK's open economy and relatively few restrictions on takeover activity, UK companies play an important part in this process, and are increasingly involved as either targets or bidders in cross-border acquisitions. Indeed, as discussed by Conn et al. (2005, p. 816), UNCTAD1 data show that ‘By 2000, the UK was the largest acquiring country worldwide, accounting for 31% of the total value of all cross-border acquisitions’. Cross-border acquisitions on average account for almost a quarter of all acquisitions of UK companies, while almost 40% of all acquisitions by UK companies are of companies located abroad.2 Cross-border acquisitions play an even larger role in value terms, with the value of cross-border acquisitions regularly exceeding the value of domestic UK acquisitions in recent years, as detailed in Figure 1.

Cross-Border Acquisitions in the UK
Notes:
The figure displays the proportion of acquisitions in the UK which are cross-border, as a fraction of the total number (#) or value (£) of acquisitions of UK companies (CB in) or by UK companies (CB out). Authors’ calculations based on data from UK Office for National Statistics, Mergers and Acquisitions Involving UK Companies series (statistics.gov.uk), 1986–2008.
While a considerable amount of literature has been published on the impact of mergers and acquisitions, our understanding of ‘the specific characteristics of cross-border mergers that affect firm value’ is, as argued by Bris and Cabolis (2008, pp. 642–47), still limited, necessitating further research ‘documenting the differences between domestic and cross-border mergers’. Despite the significant scale of cross-border acquisitions into and out of the UK, little is known regarding the impact of such acquisitions and how they compare to domestic acquisitions. Our study aims to address this by analysing the impact on both targets and bidders of cross-border acquisitions, comparing this to the wealth effects for companies involved in similar domestic acquisitions. We also study how the cross-border effects differ between acquisitions into and out of the UK, and which factors may account for the cross-border effects varying with the location of the overseas bidders and targets.
While prior studies, such as Harris and Ravenscraft (1991), have found US targets to gain more in cross-border than in domestic acquisitions, the evidence for the UK is weaker, with Danbolt (2004) finding no significant residual cross-border effect for UK targets once bid characteristics are controlled for. The location of the target thus appears to have a significant impact on target cross-border effects, but the cause of such differences still largely eludes us. In addition, there is limited evidence of whether bidder abnormal returns differ between cross-border and domestic acquisitions, and thus on the relative merit of cross-border and domestic acquisitions. In this paper we address these issues. While the majority of prior studies on cross-border acquisitions tend to restrict their analyses to either targets or bidders, or to focus purely on cross-border acquisitions and not discuss how they compare to similar domestic acquisitions, we study the cross-border effects in both target and bidder abnormal returns, in acquisitions both into and out of the UK. This allows us to ascertain whether the wealth effects are systematically different in cross-border and domestic acquisitions, whether acquisitions create or merely transfer wealth between the two parties involved, whether acquisitions of UK companies differ systematically from acquisitions by UK firms, and what may account for any international variation in target or bidder cross-border effects. Given the large scale of cross-border acquisition activity, these are crucial questions not least for shareholders, but also for managers and regulators.3
We base our analysis on 251 cross-border targets (of which 174 are targets in cross-border acquisitions into the UK and 77 are overseas targets acquired by UK firms) and 146 cross-border bidders (81 in the UK and 65 overseas), with each cross-border target and bidder matched to a similar company involved in a comparable domestic acquisition, with matching, following Bris and Cabolis (2008), based on country, year, industry and size.
The scope for extracting cost savings or revenue growth can be expected to be systematically different in cross-border and domestic acquisitions. While cross-border acquisitions are likely to be more costly and complex to execute than domestic ones, cross-border transactions may bring additional benefits of international diversification and access to new markets. The scope for extracting benefits from cross-border acquisitions may depend on the bidder's prior international experience. Given the complexity of executing cross-border acquisitions, we hypothesise that companies with prior cross-border acquisition experience will perform better than other bidders.
However, if market access is valuable, targets may extract a higher bid premium, while bidder gains may also be expected to be higher when entering new markets (Doukas and Travlos, 1988). Aybar and Ficici (2009), however, suggest that bidders may perform better when they have market experience. The expected impact of bidder experience on target returns is unclear. On the one hand, more experienced bidders may be more expert negotiators, potentially resulting in lower target returns. On the other hand, if experienced bidders make better acquisitions and if targets extract most of any wealth creation in acquisitions, targets may gain more from acquisitions by experienced bidders. The impact of bidder experience on bidder and target cross-border effects remains an open empirical question, which we explore in this study. We also analyse the impact of market access on both bidder and target cross-border effects.
Exchange rates may also have an impact on the level of abnormal returns in cross-border acquisitions, if exchange rate movements give foreign bidders a cost of capital advantage (Froot and Stein, 1991). However, prior research (e.g., Harris and Ravenscraft, 1991; and Dewenter, 1995) provides mixed evidence regarding the impact of exchange rates on the abnormal returns in cross-border acquisitions. We test the impact of exchange rate movements on target and bidder returns in acquisitions both into and out of the UK.
If the level of accounting quality in a country is low, the complexity and potential for error in the valuation of companies may increase. While this may increase the risk to foreign bidders, it may also result in some companies being undervalued, providing valuable investment opportunities for foreign bidders (Black et al., 2007). We would expect both target and bidder abnormal returns to be higher where the accounting quality is low in the target country in comparison to that of the bidder country. However, while Black et al. (2007) find bidders to gain more, and Bris and Cabolis (2008) find the target bid premium to be higher where the accounting quality is lower in the target than in the bidder country, Black et al. find the target bid premium to be lower for targets in countries with lower accounting quality. The adoption of International Financial Reporting Standards (IFRS) by an increasing number of countries is, however, likely to have substantially reduced international variations in accounting quality.4 We extend the analysis of the impact of accounting quality on target and bidder returns in cross-border acquisitions to control for the effect of IFRS adoption.
While acquisitions may be motivated by the aim of extracting synergies, the acquisition decision may possibly also be influenced by managerial considerations (Jensen and Meckling, 1976). With the separation of ownership and control, and the significant scope for agency conflict between shareholders and managers in acquisitions (Jensen, 1986), countries’ corporate governance systems may also be expected to have a significant impact on cross-border acquisitions (La Porta et al., 1998; and Rossi and Volpin, 2004). Strong corporate governance in the bidder country may restrict the ability of managers to undertake value-destroying acquisitions, and firms with better shareholder protection can be expected to make better acquisitions by more carefully identifying profitable investments, and possibly also pay lower premia for their targets (Kuipers et al., 2009). In a country with weak governance systems, the number of poorly managed and thus potentially undervalued targets may be larger. Targets may benefit from a transfer of good governance practices from the bidder to the target (Bris and Cabolis, 2008). We may therefore expect both bidder and target abnormal returns to be higher in cross-border acquisitions where the corporate governance standards are higher in the bidder than in the target country. In this paper we explore the impact of differences in the legal origin, the level of anti-director rights, the rule of law and the overall level of shareholder protection of the bidder and target countries on the cross-border effects, while also controlling for differences in company and bid characteristics.
There are several important findings of this study. We find both target and bidding company shareholders on average to earn significantly higher abnormal returns in cross-border than in domestic acquisitions. The additional gains to targets in cross-border as compared to targets in similar domestic acquisitions amount to a highly significant 10.1 percentage points over a 3-day period centred on the day of the bid announcement. However, despite the high gains to cross-border targets, we find that bidding companies also perform better – or more accurately, less poorly – in cross-border than in domestic acquisitions. While bidding companies in domestic acquisitions on average suffer negative abnormal returns of −1.8%, mean abnormal returns to bidders in cross-border acquisitions are insignificantly different from zero. The bidding company cross-border effect amounts to a significant 1.5 percentage points. The overall wealth creation is thus higher in cross-border than in domestic acquisitions, although the gains generally accrue to target rather than to bidding company shareholders. We find the target company cross-border effects to have increased significantly over time, with bidding company cross-border effects also somewhat higher during the early 2000s than during the 1980s or 1990s.
The levels of the target company cross-border effects do, however, also vary significantly with the nationality of the targets and bidders. While the cross-border effect for overseas targets acquired by UK firms averages 22.5 percentage points, the cross-border effect for UK targets is more modest, at 4.6 percentage points, though still highly statistically significant. The cross-border effect is particularly high for US targets, consistent with prior evidence of e.g., Conn and Connell (1990). However, despite the large gains to their overseas targets, UK bidders perform significantly better in cross-border than in similar domestic acquisitions, with the cross-border effect for UK bidders averaging 1.9 percentage points.
We find some evidence of the target cross-border effect being higher where the bidder already has operations in the target country. If bidders with local market knowledge make better acquisitions (Aybar and Ficici, 2009) and if there is greater scope for synergies if the company already has operations in the market, this may explain the higher gains to targets where the bidder already has operations in the country. However, we find some evidence of bidders performing better when acquiring into new markets, suggesting market access is valuable. The results are, however, weak and not robust to the inclusion of other control variables in the analysis.
Our analysis suggests that national differences in accounting quality and governance characteristics, while having only limited and non-significant impact on the bidding company cross-border effect, significantly affect target abnormal returns. We find target gains to be higher where the accounting quality or the level of anti-director rights and the overall level of shareholder protection is higher in the bidder than in the target country. However, even controlling for governance characteristics, we still find significant national variations in the level of the target company cross-border effect, with particularly large gains to US targets.
Our study makes a number of significant contributions to the mergers and acquis-itions literature, and also to the literature on law and regulation. Firstly, analysing both target and bidding company cross-border effects, we find significant cross-border effects for both targets and bidders. We believe our study is the first to document that the overall wealth creation is significantly higher in cross-border acquisitions both into and out of the UK than in comparable domestic acquisitions.
Secondly, we extend the limited prior evidence on target-company cross-border effects in the UK, and document how the abnormal returns differ between cross-border acquisitions into and out of the UK. While we observe significant cross-border effects for UK targets, these are small in comparison to the cross-border effects for overseas companies acquired by UK firms. We find the governance characteristics of the countries in which the bidders and targets are located to have a significant impact on target shareholder wealth effects, with target shareholders gaining more when the bidder comes from a country with stronger governance systems than their own. Target shareholders appear to benefit from the high levels of anti-director rights and shareholder protection in the bidder's country. Companies may be less undervalued, and thus be less attractive targets, in countries with high quality accounting and strong corporate governance, and targets in countries with weak governance systems seem to benefit more from being acquired by firms from countries with strong shareholder protection.
Thirdly, prior evidence on bidding company cross-border effects is limited, and we believe this study is amongst the first to uncover significant positive cross-border effects in bidder abnormal returns, with bidding companies on average performing significantly better – or at least less poorly – in cross-border than in domestic acquisitions. Consequently, the high abnormal returns to targets in cross-border acquisitions do not generally appear to be the result of higher levels of bidder overpayment, but rather reflect the higher overall wealth creation in cross-border as compared to domestic acquisitions. The bidder cross-border effect is significantly higher where the bidder makes relatively large acquisitions, and there is some, though weak, evidence to suggest bidders perform somewhat better when entering new markets. Cross-border acquisitions are thus preferable to domestic acquisitions, suggesting there are real benefits from international investment. However, whilst overall cross-border acquisitions create significant shareholder wealth, bidders in cross-border acquisitions on average only break even, with close to zero mean abnormal returns to both UK and overseas cross-border bidders. Thus, while less value-destructive for bidders than comparable domestic acquisitions, most cross-border acquisitions do not create value for the acquiring firms’ shareholders.
The paper is organised as follows. In Section 2 we discuss the theoretical arguments as to why the level of abnormal returns may be systematically different in cross-border and domestic acquisitions, as well as prior empirical evidence on shareholder wealth effects in cross-border acquisitions. Section 3 contains a discussion of our research design, including explanation of the sample and methodology. Our results are presented in the following sections, with the abnormal returns discussed in Section 4, followed by the results from cross-sectional analyses in Section 5. Further analysis of the determinants of cross-border effects follows in Section 6, while Section 7 concludes.
2. CROSS-BORDER EFFECTS – THEORY AND EVIDENCE
(i) Theoretical Arguments for Acquisition Cross-Border Effects
If international capital and takeover markets are perfectly integrated, one could expect there to be no systematic differences in the abnormal returns to either targets or bidders in cross-border as compared to domestic acquisitions (Harris and Ravenscraft, 1991). However, an assumption of perfectly integrated markets is arguably unrealistic, and there are both theoretical arguments and prior empirical evidence to suggest that the level of abnormal returns may differ systematically between cross-border and domestic acquisitions. The literature is, however, conflicting, with different arguments put forward as to whether cross-border acquisitions can be expected to create or destroy value, and whether the wealth effects of cross-border acquisitions will be greater or smaller than in domestic acquisitions.
Cross-border acquisitions can be expected to be more complex, and thus more costly and risky to execute, than domestic acquisitions. The potential for valuation error may be a more serious problem in cross-border than domestic acquisitions (Conn et al., 2005) if targets in foreign markets are more difficult to value than domestic targets (due to e.g., less developed capital markets, differences in accounting practices, volatile exchange rates, or less knowledge of foreign markets). If synergies are forecast with some degree of error, or if managers suffer from hubris and systematically over-estimate their ability to improve the performance of the target firm (Roll, 1986) and the successful bidder is the one with the highest target over-valuation, bidding company shareholders can be expected to lose. If there is greater scope for valuation error in cross-border than in domestic acquisitions, we may expect higher target abnormal returns, but lower bidder returns, in cross-border than in domestic acquisitions. Aybar and Ficici (2009) argue that the problems of cross-border acquisitions, such as limited market knowledge, may be exacerbated if the bidding company has no prior operations in the target country, while Conn and Connell (1990) argue that companies from more competitive takeover markets, such as the US, can be expected to have more acquisition experience and make better acquisitions.
Not only may managers suffer from hubris and over-estimate potential synergies; with the separation of ownership and control, acquisitions may be driven by managerial and not only shareholder wealth maximisation objectives (Jensen and Meckling, 1976). The scope for agency conflict may be particularly severe in acquisitions, as managers may benefit from such transactions even where they deliver no value to shareholders.5 If the scope for valuation error or the agency conflict between managers and shareholders is larger in cross-border than in domestic acquisitions, one can expect bidders to perform worse, but targets to gain more, in cross-border than in domestic acquisitions.
With the high cost and risk of cross-border acquisitions, why do managers increasingly pursue such transactions, and why do shareholders allow them? Unless there are significant additional benefits from cross-border as compared to domestic acquisitions, one could expect the added cost and complexity to lead to lower abnormal returns to bidders, as well as the overall wealth creation to be lower in cross-border than in domestic acquisitions.
Increasing the investment universe to also consider cross-border acquisitions may increase the scope for identifying undervalued targets. If corporate governance rules in a country are weak, foreign bidders may add value through improvement in target company management (Bris and Cabolis, 2008). Volatile exchange rates may also provide foreign bidders with a cost of capital advantage over local firms if managers are able to time acquisitions to coincide with a strong home currency compared to that of the target country (Froot and Stein, 1991; and Harris and Ravenscraft, 1991).
The internationalisation literature suggests that multinational companies (MNCs) may have the advantage of being able to exploit their intangible assets in a number of markets (Harris and Ravenscraft, 1991). If international diversification or access to new markets (Doukas and Travlos, 1988) is valuable, we may expect bidders to perform better in cross-border than in domestic acquisitions. However, with targets tending to extract most, if not all, of any merger benefit, any gain from market access or international diversification can also be expected to be observed in higher target abnormal returns.
While the discussion above relates to domestic vs. cross-border acquisitions in general, the abnormal returns can be expected to vary between cross-border acquisitions into and out of the UK, as well as with the nationality of the overseas targets or bidders. Conn and Connell (1990) argue that target abnormal returns are likely to be especially high in the US, given its highly competitive takeover market, while ‘ … returns to foreign bidders should be relatively high if the market for corporate control is relatively inefficient in [the target country] … ’ (p. 691). If the US takeover market is the most competitive, we may expect US cross-border targets to gain the most, while US cross-border bidders may also gain from acquiring into the UK if the UK takeover market is less competitive than that in the US.
If countries within the European Economic Area (EEA)6 are well integrated, acquisitions within the free trade area may be perceived as having lower risk, but also potentially lower diversification benefits, than other cross-border acquisitions. Indeed, if the EEA is fully integrated, one could expect the abnormal returns to be little different in intra-EEA and domestic acquisitions. Intra-EEA acquisitions may therefore be associated with lower target, and possibly also lower bidder, cross-border effects. We split our sample into UK, US, (non-UK) EEA and the Rest of the World in the empirical analysis to test these predictions.
We further explore whether differences in countries’ corporate governance systems may explain any observed variation in cross-border effects with the nationalities of the companies involved. Bidders from countries with strong investor protection can be expected to be less inclined to undertake value-destructive acquisitions than other bidders (Kuipers et al., 2009). However, agency conflict may also afflict target company management, and the weaker the corporate governance system, the greater the scope for companies to be poorly managed. In cross-border acquisitions, at least where there is a complete transfer of ownership, ‘ … the target firm becomes a national of the country of the acquiror, and consequently subject to its corporate governance system’ (Bris and Cabolis, 2008, p. 605). Thus, the greater the differences in the legal traditions and level of investor protection of the bidding and target countries, the greater the potential improvements in the governance systems of the target company after a cross-border acquisition. We expect both bidders and targets to gain more from cross-border acquisitions where the difference in the corporate governance systems is large. We explore the impact of country governance systems on cross-border effects in the empirical analysis. First, however, we review some of the prior empirical evidence on target and bidding cross-border effects and their determinants.
(ii) Prior Evidence on Target and Bidder Cross-Border Effects
Studies of domestic acquisitions7 tend to find that target shareholders on average earn significant abnormal returns around the time of the bid announcement, often in the region of 20% to 30%, and prior literature on cross-border acquisitions8 tends to find that targets gain more in cross-border than in domestic acquisitions. However, not only is the evidence for non-US targets still limited, but more importantly, the cause of the target company cross-border effect still eludes us. While some studies attribute the cross-border effect to differences in bid and company characteristics between cross-border and domestic acquisitions, others find significant cross-border effects even when controlling for bid characteristics. For example, while Wansley et al. (1983), Dewenter (1995), Campa and Hernando (2004) and Danbolt (2004) find no significant residual target cross-border effect once differences in bid and company characteristics are controlled for, and Bris and Cabolis (2008) surprisingly find the mean premium to be significantly lower for cross-border than for comparable domestic targets, Harris and Ravenscraft (1991) find the residual cross-border effect to exceed 10 percentage points even when controlling for the method of payment and other bid characteristics. There is also some evidence to suggest that the size of the target company cross-border effect varies internationally, and that it is relatively small in the UK (Danbolt, 2004) compared to that of US targets (Conn and Connell, 1990).
The evidence on bidder returns of cross-border acquisitions is even more mixed. While e.g., Doukas and Travlos (1988) and Francis et al. (2008), amongst others, find US bidders to gain in at least some cross-border acquisitions, other studies, such as Moeller and Schlingemann (2005), find US bidders to lose from cross-border acquisitions. While Kuipers et al. (2009) find significant losses to bidders from cross-border acquisitions into the US, Kang (1993) finds foreign bidders to gain significantly from acquisitions of US targets. Chari et al. (2006) find that companies from developed markets gain significantly from acquisitions into emerging markets. The evidence for UK bidders is, however, much more limited. Gregory and McCorriston (2005) and Uddin and Boateng (2009) find insignificant bid-announcement abnormal returns to UK bidders in cross-border acquisitions, while Danbolt (1995) finds overseas bidders into the UK gain insignificantly during the month of the bid announcement.9 Conn and Connell (1990) find that both UK and US bidders suffer negative abnormal returns following cross-border acquisitions between the two markets, with UK bidders on average performing substantially worse than US cross-border acquirers.
However, none of the above studies compares the performance of bidders in cross-border acquisitions to that of domestic acquirers, and therefore they do not address the issue of whether there are systematic differences in bidder abnormal returns in domestic and cross-border acquisitions. There are few such comparative studies. Eckbo and Thorburn (2000) find US bidders to gain less than Canadian bidders in acquisitions of Canadian firms, and Starks and Wei (2004) find foreign bidders to gain less than US bidders in acquisitions of US firms. Moeller and Schlingemann (2005) and Black et al. (2007) find lower announcement returns to US bidders in cross-border than in domestic acquisitions. Francis et al. (2008) overall also find that US bidders in general perform better in domestic than in cross-border acquisitions, although the cross-border effects for US bidders turn insignificantly positive during the late 1990s and early 2000s. In a study of European acquisitions, Campa and Hernando (2004) find bidders to perform better in domestic than in cross-border acquisitions, although the difference is only significant for a long pre-announcement window. In a large international study, Ahern et al. (2011) find no significant difference in bidder returns in cross-border and domestic acquisitions. Studying long-run abnormal returns for a small sample of UK acquiring firms in large acquisitions,10 Aw and Chatterjee (2004) find UK bidders to perform worse following cross-border than domestic acquisitions. Conn et al. (2005, p. 815), also studying UK bidders, find ‘cross-border acquisitions result in lower announcement and long-run returns than domestic acquisitions’. However, their sample is dominated by acquisitions of private firms, and in acquisitions of public targets the bidder cross-border effect is reversed.11
Market access is commonly argued to be a major motive for cross-border acquis-itions, but prior evidence is mixed. While Doukas and Travlos (1988) find higher abnormal returns to US bidders when acquiring into new markets, Danbolt (2004) finds no evidence of market access having a significant impact on target abnormal returns in cross-border acquisitions into the UK. We extend prior literature by studying the impact of market access on both target and bidder cross-border effects. We also extend prior literature by exploring whether prior bidder cross-border acquisition experience has an impact on target or bidder returns.
Prior research provides mixed evidence regarding the impact of exchange rate changes on the abnormal returns in cross-border acquisitions. While Harris and Ravencraft (1991) and Kang (1993) find target abnormal returns in cross-border acquisitions to be higher when the bidding country's currency is strong relative to the currency of the target country, Dewenter (1995), Danbolt (2004) and Starks and Wei (2004) find no support for the exchange rate hypothesis on target returns. Gregory and McCorriston (2005) find exchange rates to have a statistically significant impact on bidder returns, while Conn et al. (2005) find no significant impact of exchange rate changes on bidder returns.
Bris and Cabolis (2008) find differences in accounting quality between the bidder and target countries to have a significant impact on the target company bid premium, with target gains higher where the bidder comes from a nation with better accounting quality than the target. Prior literature suggests national differences in country governance characteristics may also have a significant impact on the level of cross-border effects. Black et al. (2007) and Francis et al. (2008), studying US bidders, Starks and Wei (2004) and Kuipers et al. (2009), studying foreign bidders acquiring into the US, and Martynova and Renneboog (2008), studying European bidders, all find higher bidder returns where the bidder comes from a country with better corporate governance standards than those of the target country, although the impact on bidder returns is not significant in the study by Starks and Wei. While their focus is mainly on the impact of international variations of laws and regulations on the volume of mergers and acquisitions activity, Rossi and Volpin (2004) also find the level of the bid premium to be higher in countries with strong shareholder protection, although their results seem to be driven by returns for US and UK targets. Bris and Cabolis (2008) similarly argue that differences between bidder and target countries in terms of investor protection may have a significant impact on the bid premium. Studying cross-border acquisitions in 39 countries, Bris and Cabolis (2008) find the cross-border effect on the target bid premium to increase where the cross-border bidders come from countries with better shareholder protection than those in the target country. Studying European acquisitions, Martynova and Renneboog (2008) similarly find higher target returns where their country's corporate governance standards are lower than those of the bidder. However, studying cross-border acquisitions by US firms, Black et al. (2007) find the foreign targets to gain less when they are based in countries with low accounting quality, and Starks and Wei (2004) find US targets to gain less when the foreign acquirer comes from countries with strong corporate governance. The prior evidence is thus mixed.
The evidence on the impact of accounting quality on target returns is mixed, and does not incorporate the possible impact of accounting harmonisation following the widespread adoption of IFRS. There is also a general lack of evidence on whether differences in the level of shareholder protection in the bidder and target countries also affect the level of bidder returns. Following Bris and Cabolis (2008), we analyse the impact of differences in accounting quality, legal origin, the levels of anti-director rights, the quality of the rule of law, and the level of shareholder protection between the bidder and target countries on the level of abnormal returns, while also controlling for the effect of market access and bidders’ prior acquisition experience. While the prior literature has mostly focused on target shareholders, we analyse the impact of country characteristics on both target and bidder cross-border effects.
We next turn to a discussion of our research design, including a discussion of our data, sample and our model for calculating abnormal returns.
3. RESEARCH DESIGN
(i) Data Sources and Sample
We obtain information on announcement dates and bid characteristics from the Thomson Financial SDC Mergers Database obtained through Thomson ONE Banker.12 We focus on changes in control, and therefore limit the sample to successful acquisitions where the bidder held less than 50% of the target prior to the bid announcement, and where the bidder holds more than 50% of the shares in the target after the acquisition. The acquisitions were announced between 1 January, 1980 and 31 December, 2008, although very few transactions are included in the SDC database prior to 1986. Share and index returns, as well as market value data, are obtained from Thomson Datastream.
A sample of 535 cross-border acquisitions – 305 acquisitions into the UK and 230 cross-border acquisitions out of the UK – match our initial sample criteria. However, returns data is missing for 114 cross-border targets and 154 cross-border bidders, as detailed in Table 1. Following Bris and Cabolis (2008), we match the target and bidding companies in cross-border acquisitions with targets and bidders in comparable domestic acquisitions. Acquisitions are matched based on country, year of acquisition, industry, and size.13 Our final sample consists of 251 cross-border targets matched to 251 target companies in domestic acquisitions, and 146 cross-border bidders, again matched to bidders in comparable domestic acquisitions. In the final sample of cross-border acquisitions, we have data for 174 UK targets and 77 overseas targets acquired by UK companies, and for 81 UK and 65 overseas cross-border bidders. While the US dominates as the target for UK cross-border acquisition and is the most frequent overseas acquirer of UK companies, our sample also includes companies from a number of other countries. The main countries represented are specified in Table 1. In the analysis we group the countries into the UK, other European Economic Area countries, the US, and the Rest of the World.
Total Cross-Border Sample | Cross-Border into UK | Cross-Border out of UK | |
---|---|---|---|
Initial sample: | 535 | 305 | 230 |
Targets: | |||
Data missing CB target | −114 | −39 | −75 |
No Domestic match | −166 | −92 | −78 |
Final sample CB targets | 251 | 174 | 77 |
Bidders: | |||
Data missing CB bidder | −154 | −112 | −42 |
No Domestic match | −235 | −128 | −107 |
Final sample CB bidders | 146 | 65 | 81 |
Bidder Nationality in Cross-Border Acquisitions into UK | Target Nationality in Cross-Border Acquisitions out of UK | |||
---|---|---|---|---|
Overseas Bidder Sample | UK Target Sample | Overseas Target Sample | UK Bidder Sample | |
European free-trade area | 3 | 74 | 7 | 29 |
France | 1 | 17 | 1 | 5 |
Germany | 0 | 11 | 1 | 3 |
Ireland | 0 | 12 | 1 | 1 |
Netherlands | 1 | 7 | 1 | 2 |
Sweden | 1 | 6 | 2 | 8 |
Switzerland | 0 | 8 | 0 | 0 |
Other EEA countries | 0 | 13 | 1 | 10 |
US | 58 | 72 | 63 | 46 |
Rest of World | 4 | 28 | 7 | 6 |
Australia | 2 | 6 | 2 | 2 |
Canada | 1 | 3 | 5 | 2 |
Japan | 1 | 3 | 0 | 0 |
Other RoW countries | 0 | 16 | 0 | 2 |
65 | 174 | 77 | 81 |
- Notes: The table reports the composition of the sample of targets and bidders in cross-border acquisitions into and out of the UK between 1980 and 2008. In the table, we distinguish between cross-border acquisitions into the UK (i.e., cross-border acquisitions of UK targets) and cross-border acquisitions out of the UK (i.e., cross-border acquisitions by UK bidders). The sample is restricted to transactions where a cross-border acquisition can be matched to a comparable domestic acquisition. The matching is based on country, year, industry and total assets (within 50%– 200% range).
Table 2 provides further information on the sample and the matching between cross-border and domestic acquisitions. The majority of acquisitions in the sample took place during the merger boom of the late 1990s, and the sample is small in certain years. In order to control for possible time-variation in returns, we match our sample of cross-border acquisitions to comparable companies in domestic acquisitions in the same year. We also use time dummies in the cross-sectional regressions.14 Our third matching criterion is industry. The largest proportion of cross-border acquisitions involves companies in the manufacturing sector, although service sector firms are also well represented in the sample. Finally, we match cross-border and domestic acquisitions based on total assets, restricting the value of the domestic company to be between 50% and 200% of the size of the cross-border company.
Targets | Bidders | ||
---|---|---|---|
Year | 251 | 146 | |
1980–1985 | 1 | 1 | |
1986 | 3 | 2 | |
1987 | 3 | 5 | |
1988 | 7 | 14 | |
1989 | 7 | 9 | |
1990 | 5 | 5 | |
1991 | 4 | 3 | |
1992 | 0 | 2 | |
1993 | 0 | 2 | |
1994 | 5 | 6 | |
1995 | 11 | 6 | |
1996 | 4 | 1 | |
1997 | 21 | 12 | |
1998 | 39 | 22 | |
1999 | 38 | 17 | |
2000 | 30 | 9 | |
2001 | 17 | 11 | |
2002 | 10 | 4 | |
2003 | 4 | 6 | |
2004 | 4 | 1 | |
2005 | 6 | 3 | |
2006 | 8 | 3 | |
2007 | 17 | 1 | |
2008 | 7 | 1 | |
Industry | |||
Construction | 4.8% | 0.7% | |
Manufacturing | 49.6% | 65.8% | |
Transport | 6.0% | 6.2% | |
Wholesale & Retail | 5.2% | 2.1% | |
Financials | 9.5% | 6.2% | |
Services | 25.0% | 19.2% | |
Total Assets | |||
Cross-Border | Mean ($m) | 564.2 | 10,484.0 |
Median | 116.3 | 2,412.83 | |
Stdev | 1,489.0 | 44,448.6 | |
Q1 | 54.3 | 523.4 | |
Q3 | 398.7 | 5,559.5 | |
Domestic/CB | Mean | 1.0214 | 0.9956 |
Median | 0.9990 | 0.9706 | |
Stdev | 0.2488 | 0.3203 | |
Q1 | 0.8893 | 0.7769 | |
Q3 | 1.1178 | 1.1126 |
- Notes: The table reports descriptive statistics on variables used to match cross-border acquisitions with comparable companies from domestic acquisitions. Each target (bidder) in a cross-border acquisition into or out of the UK during the 1980–2008 period is matched to a target (bidder) in a comparable domestic acquisition, with companies matched based on country, year, industry and total assets. Variables are as defined in the Appendix.
(ii) Estimation of Abnormal Returns



The choice of model has limited impact and the results are consistent. For brevity, we only report market model results in the tables.18
Following prior literature, we focus on a short, 3-day event window, from day t–1 to day t+1. However, such a short event window, while commonly used in prior literature, may not capture the full impact of acquisitions if there is bid speculation or information leakage prior to the formal bid announcement, or if new price-sensitive information is released after the initial bid announcement.19 We therefore also analyse cumulative abnormal returns (CAR) over a slightly longer 11-day event period, from t–5 to t+5.20
The levels of statistical significance of the cumulative abnormal returns are calculated using a cross-sectional t–test of the mean (Strong, 1992). However, to allow for non-normality in the distribution of abnormal returns, we also test the significance using the nonparametric Wilcoxon rank sum test of the median, as well as a simple sign test based on the proportion of sample companies with non-negative abnormal returns (Siegel and Castellan, 1988). The significance of the regression coefficients are calculated using heteroscedasticity-consistent standard errors (White, 1980), controlling for clustering (Petersen, 2009).21 As a further robustness test, we also estimate the regressions using robust rank regressions, and the results are consistent.
4. ABNORMAL RETURNS
(i) Target Abnormal Returns
Target abnormal returns are reported in Panel A of Table 3. Target company shareholders on average earn significant positive abnormal returns around the time of the bid announcement, with mean cumulative abnormal returns to targets in cross-border acquisitions amounting to a highly significant 20.9% over the 3-day period from day t–1 to t+1. More than 93% of sample firms earn positive cumulative abnormal returns. Target companies in comparable domestic acquisitions on average also earn positive abnormal returns, but the gains are significantly smaller, averaging 10.9%. The difference in target returns between cross-border and matched domestic acquisitions – the target company cross-border effect – amounts to a highly significant 10.1 percentage points, with almost two thirds of the cross-border targets earning higher 3-day CAR than shareholders in comparable domestic acquisitions.
3-Day CAR (t–1, t+1) | 11-Day CAR (t–5, t+5) | |||||
---|---|---|---|---|---|---|
Cross-Border | Domestic | CB Effect | Cross-Border | Domestic | CB Effect | |
Panel A: Targets (251 obs) | ||||||
Mean | 0.2092*** | 0.1086*** | 0.1006*** | 0.2638*** | 0.1324*** | 0.1314*** |
Median | 0.1705*** | 0.0612*** | 0.0618*** | 0.2220*** | 0.0822*** | 0.1178*** |
Stdev | 0.2159 | 0.1539 | 0.2839 | 0.2226 | 0.2002 | 0.3140 |
Q1 | 0.0561 | 0.0053 | −0.0600 | 0.1053 | 0.0018 | −0.0377 |
Q3 | 0.3135 | 0.1820 | 0.2443 | 0.3963 | 0.2365 | 0.3047 |
Positive | 93.2%*** | 78.9%*** | 65.7%*** | 93.6%*** | 76.1%*** | 70.1%*** |
Panel B: Bidders (146 obs) | ||||||
Mean | −0.0028 | −0.0178*** | 0.0150** | −0.0033 | −0.0134** | 0.0101 |
Median | −0.0019 | −0.0124*** | 0.0046* | −0.0047** | −0.0116* | 0.0041 |
Stdev | 0.0600 | 0.0601 | 0.0783 | 0.0947 | 0.0794 | 0.1145 |
Q1 | −0.0286 | −0.0401 | −0.0266 | −0.0373 | −0.0569 | −0.0473 |
Q3 | 0.0323 | 0.0092 | 0.0572 | 0.0328 | 0.0248 | 0.0684 |
Positive | 46.6% | 32.3%*** | 54.8% | 46.6% | 39.7%** | 51.4% |
Panel C: Mean 3-Day CAR by Time Period | ||||||
Targets | Bidders | |||||
Cross-Border | Domestic | CB Effect | Cross-Border | Domestic | CB Effect | |
1980s | 0.1411*** | 0.0617** | 0.0794** | −0.0074 | −0.0121* | 0.0047 |
Early ‘90s | 0.1606** | 0.1774*** | −0.0168 | −0.0156 | −0.0372*** | 0.0215 |
Late ‘90s | 0.1988*** | 0.1150*** | 0.0837*** | 0.0061 | −0.0048 | 0.0110 |
Early ‘00s | 0.2251** | 0.0881*** | 0.1370*** | −0.0049 | −0.0425** | 0.0376** |
Late ‘00s | 0.2684*** | 0.1251*** | 0.1432*** | −0.0127 | 0.0058 | −0.0184 |
Panel D: Mean Target CB Effect by Region | ||||||
By Target Nationality | By Bidder Nationality | |||||
3-Day | 11-Day | 3-Day | 11-Day | |||
Sample | CB Effect | CB Effect | Sample | CB Effect | CB Effect | |
All | 251 | 0.1006*** | 0.1314*** | 251 | 0.1006*** | 0.1314*** |
UK | 174 | 0.0456** | 0.0626*** | 77 | 0.2247*** | 0.2871*** |
Other EEA | 7 | 0.1912** | 0.2403** | 74 | 0.0065 | 0.0076 |
US | 63 | 0.2423*** | 0.3093*** | 72 | 0.0893** | 0.1239*** |
RoW | 7 | 0.0993** | 0.1338* | 28 | 0.0368 | 0.0501 |
Panel E: Bidder CAR by Region | ||||||
All | 146 | 0.0150** | 0.0101 | 146 | 0.0150** | 0.0101 |
UK | 65 | 0.0103 | −0.0003 | 81 | 0.0188* | 0.0185 |
Other EEA | 29 | 0.0376* | 0.0393 | 3 | 0.0408 | −0.0548 |
US | 46 | 0.0067 | 0.0054 | 58 | 0.0083 | 0.0078 |
RoW | 6 | 0.0203 | 0.0186 | 4 | 0.0158 | −0.0776 |
- Notes: The table reports target (Panel A) and bidder (Panel B) company cumulative abnormal returns (CAR) over 3-day (t–1, t+1) and 11-day (t–5, t+5) event windows. Companies in cross-border acquisitions into and out of the UK during the 1980–2008 period are compared to companies in comparable domestic acquisitions, with companies matched based on country, year, industry and total assets. Abnormal returns are estimated using the market model, with parameters estimate from day t–260 to day t–41, where day t= 0 refers to the day of the bid announcement. In Panel C the mean 3-day cumulative abnormal returns are analysed by time period. We split the sample into five periods: The 1980s (1980–1989), the early ‘90s (1990–1994), the late ‘90s (1995–1999), the early ‘00s (2000–2004) and the late ‘00s (2005–2008). In Panel D the cross-border effect is analysed by target region, and in Panel E by bidder region. ‘Other EEA’ refers to non-UK countries in the European Economic Area. *, ** and *** indicate significance at the 10%, 5% and 1% level, respectively, from a t–test of the mean and a Wilcoxon signed rank test of the median. A sign test is used to test whether the proportion of positive abnormal returns is significantly different from 50%. Coefficients which change significance (from significant to insignificant, or from insignificant to significant, at the 10% level) under estimation using the market adjusted returns model are highlighted in italics.
A 3-day event window may arguably be too short to capture the full impact of acquisitions, and we also analyse abnormal returns over an 11-day event window, from five days prior to five days after the day of the bid announcement. Over this extended event window, target abnormal returns in cross-border acquisitions are even higher, at 26.4%, and the cross-border effect rises to 13.1 percentage points. Indeed, as can be seen from Figure 2, Panel A, target company share prices on average start rising long before the bid announcement, with cumulative abnormal returns over the time period from t–40 to t–6 averaging 9.4% for cross-border and 9.7% for domestic targets.22 Over an extended 81-day period centred on the bid announcement, targets on average earn 40.1% cumulative abnormal returns in cross-border acquisitions, compared to 26.8% in domestic acquisitions, leading to a significant cross-border effect of 13.3%– similar to that captured by the 11-day event window.23 Thus, regardless of what event window we analyse, we find evidence of significant cross-border effects in target company abnormal returns.

Cumulative Abnormal Returns
Notes:
The figures display the development of target (Panel A) and bidder (Panel B) cumulative abnormal returns (CAR) over the period from forty days prior, to forty days after, the day of the bid announcement (day 0) for our sample of cross-border acquisitions into and out of the UK during the 1980–2008 period. We report data for cross-border acquisitions, for matched domestic acquisitions, and the difference between the two – the cross-border effect.
As can be seen from Panel C of Table 3, the level of target abnormal returns in cross-border acquisitions has increased substantially over time, from an average of 14.1% during the 1980s to 26.8% during the 2005–2008 period. The level of target returns in domestic acquisitions has not shown a similar increase, and the target company cross-border effect has been rising substantially over time, from 7.9 percentage points during the 1980s (and an insignificant negative cross-border effect for the small number of transactions during the early 1990s), to 13.7 and 14.3 percentage points, respectively, for the first and second half of the 2000s.
However, further analysis reveals that the level of the target company cross-border effect also varies significantly with the nationality of the target and bidding companies. As displayed in Panel D of Table 3, while the average 3-day target company cross-border effect for the sample as a whole amounts to 10.1 percentage points, the cross-border effect for UK targets of 4.6 percentage points is substantially smaller than the average cross-border effect of 22.5 percentage points to overseas targets acquired by UK firms. The cross-border effect is particularly high for US and non-UK EEA targets, at 24.2 and 19.1 percentage points, respectively, although the target company cross-border effect is also high for other overseas targets, averaging 9.9 percentage points. The low cross-border effect to UK targets is particularly pronounced in acquisitions by bidders from other EEA countries, where the target cross-border effect is an insignificant 0.7 percentage points. Indeed, it is only in acquisitions by US bidders that we observe a significant cross-border effect for UK targets, at 8.9 percentage points. The target company cross-border effect is thus consistently lower in acquisitions into the UK than in cross-border acquisitions out of the UK. We analyse in Section 5 the extent to which the differences in abnormal returns in domestic and cross-border acquisitions are attributable to differences in company and bid characteristics, while in Section 6 we explore why the target company cross-border effect varies with target and bidder nationality. The high abnormal returns to targets, particularly in cross-border acquisitions, raise questions as to whether such transactions are valuable investments for the acquiring companies, or whether bidders tend to overpay. We explore this next.
(ii) Bidder Abnormal Returns
As reported in Panel B of Table 3, bidders in cross-border acquisitions on average earn abnormal returns insignificantly different from zero, amounting to −0.3% over both the 3-day and 11-day event windows. However, bidders in comparable domestic acquisitions on average earn significant negative abnormal returns, of −1.8% and −1.3%, respectively, over the two event windows. Thus, while target shareholders gain significantly more from cross-border than from domestic acquisitions, bidders on average also perform significantly better – or more accurately, significantly less badly – in cross-border than in domestic acquisitions. The bidding company cross-border effect amounts to a significant 1.5 percentage points over the 3-day event window, although the cross-border effect, of 1.0 percentage point, is no longer significant for the longer 11-day event window. The movements in bidder abnormal returns over the full period from t–40 to t+40 days are depicted in Figure 2, Panel B. While the abnormal returns to bidders in cross-border acquisitions fall marginally over the post-acquisition period, the bidding company cross-border effect remains positive.
The bidder cross-border effect is further analysed in Panels C and D of Table 3, which splits the results based on time period and the nationality of the targets and bidders, respectively. Average bidder returns in cross-border acquisitions are insignificantly different from zero in all periods, while domestic bidders earn significant negative abnormal returns in three of the five time periods. The bidder cross-border effect is particularly large during the early 2000s, when it reaches a significant 3.8 percentage points. The bidding company cross-border effect also varies significantly with the nationality of the firms involved. The cross-border effect is higher for UK cross-border bidders, at a significant 1.9 percentage points, and is particularly high, at 3.8 percentage points, when UK companies acquire into other EEA countries. On the other hand, for US bidders the cross-border effect is only 0.8 percentage points and not statistically significant, and for UK bidders acquiring in the US the cross-border effect is 0.7 percentage points and again not significant. The small number of bidders from EEA and other countries also earn higher abnormal returns in cross-border than in domestic acquisitions, although the bidding company cross-border effects are not significant for the EEA and the Rest of the World regions.
The analysis above suggests that both targets and bidders on average perform better in cross-border than in domestic acquisitions. While the target company cross-border effect is particularly high in cross-border acquisitions by UK companies, UK bidders perform significantly better in cross-border than in domestic acquisitions. However, prior research suggests bid characteristics may have a significant impact on target and bidder returns, and if there are systematic differences in the characteristics of targets and bidders in cross-border and domestic acquisitions, the cross-border effects may be attributable to such differences rather than to the different nationalities of the targets or bidders. In the next section we therefore analyse the differences in the characteristics of companies involved in cross-border and domestic acquisitions, and the impact of such differences on the cross-border effects.
5. BID CHARACTERISTICS AND THE IMPACT ON CROSS-BORDER EFFECTS
In this section we investigate whether differences in company and bid characteristics between domestic and cross-border acquisitions can explain the target or bidder cross-border effects. We first explore the sample characteristics and the correlations between the various bid characteristics and 3-day abnormal returns, before presenting the multivariate regression models and results.
(i) Bid Characteristics and the Impact on Abnormal Returns
Sample characteristics are reported in Panel A of Table 4, while the Pearson correlation coefficients between the 3-day cumulative abnormal returns and sample characteristics are reported in Panel B. Data sources and detailed variable definitions for the cross-sectional variables are provided in the Appendix.
Targets | Bidders | |||||
---|---|---|---|---|---|---|
Cross-Border | Domestic | P-value | Cross-Border | Domestic | P-value | |
Panel A: Bid Characteristics | ||||||
Payment | ||||||
Cash only | 0.6135 | 0.5219 | 0.014** | 0.6370 | 0.3425 | 0.000*** |
Equity only | 0.0518 | 0.0996 | 0.039* | 0.0890 | 0.0959 | 0.842 |
Company Size | ||||||
Ln MV | 4.5238 | 4.2838 | 0.001*** | 7.3610 | 7.0770 | 0.009*** |
Relative Size | ||||||
TA T/TAB | 0.4153 | 0.4429 | 0.859 | 0.3099 | 0.2869 | 0.0710 |
(Sample) | (171) | (117) | (138) | (138) | ||
Tender Offer | ||||||
Tender offer | 0.7251 | 0.7211 | 0.919 | 0.8699 | 0.8493 | 0.633 |
Stake | ||||||
Stake% | 2.99 | 7.69 | 0.002*** | 1.95 | 12.14 | 0.000*** |
Relatedness | ||||||
Diversifying | 0.2988 | 0.4303 | 0.001*** | 0.1918 | 0.2543 | 0.181 |
Panel B: Correlation Between Cumulative Abnormal Returns and Bid Characteristics | ||||||
Payment | ||||||
Cash only | 0.076 | −0.103 | 0.038 | 0.197** | ||
Equity only | −0.128** | −0.062 | 0.006 | −0.048 | ||
Company Size | ||||||
Ln MV | −0.163*** | −0.241*** | −0.020 | 0.070 | ||
Relative Size | ||||||
TAT/TAB | −0.080 | −0.060 | 0.127 | −0.241 | ||
Tender Offer | ||||||
Tender offer | 0.107* | −0.101 | −0.0048 | 0.219*** | ||
Stake | ||||||
Stake% | −0.110* | −0.182*** | −0.0031 | 0.055 | ||
Relatedness | ||||||
Diversifying | −0.014 | −0.031 | 0.082 | −0.126 |
- Notes: *, ** and *** indicate significance at the 10%, 5% and 1% levels, respectively. The table reports (in Panel A) the target and bidder characteristics for our sample of cross-border and matched domestic acquisitions into and out of the UK during the 1980 to 2008 period. Sample means and the significance (p-value) of the differences in means are reported. The variables are as defined in the Appendix. The analysis is based on the sample of 251 targets and 146 bidders, except for the relative size of the target to the bidder (measured by their total assets) where data is not available for all sample firms. The sample sizes for this variable are reported below the coefficients. Panel B reports Pearson correlations between 3-day (t–1, t+1) market-model cumulative abnormal returns and the various bid characteristics.
Prior research generally finds both target and bidding shareholders to gain significantly more in cash than in equity offers,24 and we follow prior literature in controlling for the method of payment. We introduce dummy variables for cash-only and equity-only payment, with mixed payment offers as the residual category. As can be seen from Panel A, significant differences between domestic and cross-border acquisitions are observed in the method of payment. While cash-only is offered in more than 61% of cross-border acquisitions, such payment is used in approximately 52% of domestic acquisitions based on the sample of targets, and 34% based on the bidder sample. The difference between cross-border and domestic acquisitions in the prevalence of cash payment is substantial and statistically significant. Full equity offers are relatively rare, accounting for approximately 10% of domestic and less than 9% of cross-border acquisitions.
In Panel B we explore the relationship between the method of payment and cumulative abnormal returns, and our results are generally consistent with the prior literature. We find target abnormal returns to be significantly negatively correlated with equity payment, although the method of payment is not found to have a significant impact on target returns in domestic acquisitions. Domestic bidders also perform significantly better in cash-financed acquisitions than in transactions with other forms of payment. The higher proportion of cross-border than domestic acquisitions with cash offers and the higher returns to targets in cash than in equity offers may contribute to the target company cross-border effect. We explore this further in the cross-sectional regression analysis below.
We next control for the effects of company size and the relative size of the targets and bidders.25 We measure company size by the market value of the company 41 days prior to the date of the bid announcement. Due to the non-normality of company size, we use a log transformation of market values in the cross-sectional analysis. We measure relative size by the ratio of total assets of the target to the total assets of the bidder.26 While we match cross-border and domestic acquisitions based on total assets, the market values are on average higher for cross-border targets and bidders than their matched domestic counterparts. However, Panel B suggests target abnormal returns are significantly negatively related to firm size, which would seem to work against the observed target company cross-border effect. We find no significant differences in the relative size of targets and bidders in cross-border and domestic acquisitions, nor does relative size seem to have a significant correlation with the cross-border effects in the univariate analysis.
Prior research has suggested the method of acquisition matters, and we control for whether the acquisitions are undertaken through a tender offer or a merger,27 with a dummy variable taking the value 1 in tender offers. As reported in Panel B, the results suggest cross-border targets and domestic bidders perform better in tender offers than in mergers, although the correlation coefficients are insignificant and negative for domestic targets and cross-border bidders. However, as can be seen from Panel A, there are only marginal differences in the proportion of cross-border and domestic acquisitions that are undertaken through tender offers. The variable is thus unlikely to account for the observed target or bidder cross-border effects.
We find target abnormal returns to be significantly negatively related to the size of the stake held by the bidder in the target prior to the acquisition. Bidders on average hold significantly higher pre-bid stakes in the target in domestic than in cross-border acquisitions, and this may contribute to the observed target company cross-border effect. We control for the size of any stake by the bidder in the target prior to the acquisition28 in the cross-sectional analysis.
Finally, we control for industrial diversification, with a dummy variable taking the value 1 where the targets and bidders are operating in different primary industries.29 A higher proportion of domestic than cross-border acquisitions involves industrial diversification. However, the correlation coefficients in Panel B of Table 4 suggest that whether the acquisition is focused or diversifying appears to have limited impact on the level of either target or bidding company abnormal returns.
We next explore the relationship between bid characteristics and abnormal returns in a multivariate setting.
(ii) Cross-Sectional Analysis of Abnormal Returns


EEA refers to countries within the European Economic Area (other than the UK), and RoW to the Rest of the World.
Regression output from the cross-sectional analysis of target company abnormal returns is presented in columns 1 and 2 of Table 5. We find bid characteristics to have a significant impact on target abnormal returns, with targets gaining less when paid in shares, if their company is large, or where the acquiring company owns shares in the target company prior to the bid. Target returns are also significantly higher during the 2000–2008 period than during the 1980s. However, even when controlling for bid characteristics, the target company cross-border effect remains highly significant, at almost 9.5 percentage points. In the second regression we also control for the location of the target firm. We find the cross-border effect still to be higher for US than for UK targets, although after controlling for bid characteristics the cross-border effect for the small sample of targets from the rest of the world (i.e., non-US or European) turns insignificantly negative. Thus, while differences in the bid characteristics of cross-border and domestic acquisitions have a significant impact on target returns, they do not appear to fully explain the target company cross-border effect or why the cross-border effect varies with the location of the target firms.
Targets | Bidders | |||
---|---|---|---|---|
(1) | (2) | (3) | (4) | |
Constant | 0.1795*** | 0.1867*** | −0.0275 | −0.0247* |
Cross-Border | 0.0945*** | 0.0118 | ||
–CB UK | 0.0809*** | 0.0039 | ||
–CB EEA | 0.1107 | 0.0622* | ||
–CB US | 0.1482*** | 0.0184** | ||
–CB RoW | −0.0113 | 0.0055 | ||
Cash | −0.0135 | −0.0198 | 0.0166** | 0.0191** |
Equity | −0.0833** | −0.0797** | 0.0016 | 0.0019 |
Company Size | −0.0235*** | −0.0252*** | −0.0009 | −0.0015 |
Relative Size | −0.0064 | −0.0070 | ||
Tender Offer | 0.0135 | 0.0068 | 0.0105 | 0.0105 |
Stake% | −0.0014*** | −0.0014*** | 0.0001 | 0.0001 |
Diversifying | −0.0161 | −0.0159 | −0.0051 | −0.0041 |
Early ‘90s | 0.0594 | 0.0665* | −0.0118 | −0.0115 |
Late ‘90s | 0.0471** | 0.0530** | 0.0152* | 0.0151 |
Early ’00s | 0.0557** | 0.0622** | −0.0090 | −0.0091 |
Late ‘00s | 0.0972*** | 0.1103*** | 0.0075 | 0.0098 |
Sample | 502 | 502 | 276 | 276 |
Adj R2 | 12.4% | 13.4% | 3.2% | 3.5% |
F-value | 7.70 | 6.44 | 1.75 | 1.69 |
(p-value) | (0.000) | (0.000) | (0.057) | (0.057) |
- Notes: The analysis is based on cross-border acquisitions into and out of the UK during the 1980–2008 period, with results for targets in columns 1 and 2 and for bidders in columns 3 and 4. The table reports cross-sectional regression results for the analysis of target and bidder cumulative abnormal returns. Abnormal returns are estimated over a 3-day (t–1, t+1) event window using the market model. Results in columns 1 and 3 are based on the following regression model: Due to the significant impact on sample size, we report results for target companies excluding Relative Size. Incorporating this variable for targets reduces the sample to 288 observations, but the overall conclusions remain unaltered. Results based on the expanded regression model to control for the location of the companies are reported in column 2 for targets and column 4 for bidders. The regression model is specified as follows: Variables are as defined in the Appendix. *, ** and *** indicate significance at the 10%, 5% and 1% level, respectively, from two-tailed t–tests with robust (White (1980)-adjusted) standard errors. For bidders, the robust standard errors also control for clustering (Peterson, 2009), due to some bidders appearing in the sample more than once. (No target appears in the sample more than once.)
Results for the bidding company shareholders are reported in the last two columns of Table 5. We find bidder CARs to be significantly higher in cash-financed acquisitions than in acquisitions with other forms of payment, while none of the other bid characteristics appear to have a significant impact on the level of bidder cross-border effects. Controlling for bid characteristics, the residual bidding company cross-border effect is still above 1 percentage point, but loses statistical significance. In the final regression, we observe that the bidding company cross-border effect is significantly positive for US bidders acquiring into the UK (at 1.8 percentage points), and particularly high for European bidders acquiring into the UK, for whom the mean cross-border effect is a significant 6.2 percentage points. The bidder cross-border effect for UK bidders and for bidders from the Rest of the World is indistinguishable from zero. Thus, differences in bid characteristics – and in particular the method of payment – appear to have a significant impact on the bidding company cross-border effect. However, we still observe differences in the bidder cross-border effect depending on the nationality of the bidder. We next analyse the cross-border acquisitions in more detail, to ascertain whether bidders’ international experience, exchange rate effects or national corporate governance characteristics may help explain the cross-border effects.
6. DETERMINANTS OF ACQUISITION CROSS-BORDER EFFECTS
As discussed in Section 2, the legal origin and the quality of the laws and enforcement of shareholder rights as well as the quality of accounting standards in various countries may affect the impact of cross-border acquisitions on shareholder wealth. Market access and exchange rate effects, as well as whether the bidding company has any prior cross-border acquisition experience, can also be expected to have a significant impact on abnormal returns from cross-border acquisitions. In this section we explore the impact of these factors on the target and bidder cross-border effects.
(i) Sample Characteristics of Cross-Border Acquisitions
Descriptive statistics on the characteristics of the cross-border acquisitions are reported in Table 6. We study the impact of market access on abnormal returns by controlling for whether the bidding company had operations in the target country prior to the acquisition. We hand-collect this data from annual reports from the period prior to the date of the bid announcement. We are able to confirm that 56.2% of bidders (or 46.6% of bidders, based on the target sample) already had operations in the target country prior to the acquisition, while 10.9% (7.6%) of bidders entered a new market through the acquisition. For 32.9% (45.8%) of bidders we are unable to ascertain whether they had operations in the target country prior to the acquisition, and we treat this as a separate, residual category. We also check whether cross-border bidders have previously undertaken a cross-border acquisition, using data from Thomson ONE Banker; 70.6% (50.6%) of bidders had prior cross-border acquisition experience.
Targets | Bidders | |
---|---|---|
Bidder pre-acquisition operations in target country | ||
Yes | 46.6% | 56.2% |
No♣ | 7.6% | 11.0% |
Bidder previous cross-border acquisition experience | ||
Yes | 50.6% | 70.6% |
Exchange rate change | ||
Mean | −0.0143*** | 0.0057 |
Stdev | 0.0809 | 0.0769 |
Accounting Quality* | ||
Mean | −3.3142 | 0.7083 |
Stdev | 8.2792 | 8.0764 |
Differences in Country Governance Characteristics B-T† | ||
English Legal Origin | ||
Mean | −0.2427 | 0.1310 |
Stdev | 0.4760 | 0.4126 |
Anti-Director Rights | ||
Mean | −0.7531 | 0.3655 |
Stdev | 1.3999 | 1.0396 |
Rule of Law | ||
Mean | 0.1944 | 0.0034 |
Stdev | 1.3246 | 1.4104 |
Shareholder Protection | ||
Mean | −0.6002 | 0.3484 |
Stdev | 1.2819 | 1.0018 |
UK | US | Non-UK EEA | RoW | |||
---|---|---|---|---|---|---|
Target Sample | Bidder Sample | Targets Sample | Bidders Sample | |||
Accounting Quality | 78 | 71 | 70.83 | 72 | 74.29 | 72.25 |
Country governance characteristics | ||||||
English Legal Origin | 1 | 1 | 0.29 | 0 | 1 | 0.75 |
Anti-Director Rights | 5 | 5 | 2.86 | 2.67 | 4.71 | 4.25 |
Rule of Law | 8.57 | 10 | 9.12 | 9.66 | 10 | 9.75 |
Shareholder Protection | 4.29 | 5 | 2.55 | 2.57 | 4.71 | 4.15 |
- Notes: *** indicates significance at the 1% level from a difference in means t-test. The table reports sample characteristics (in addition to information on bid characteristics contained in Table 4) for the sample of target and bidding companies in cross-border acquisitions into and out of the UK during the 1980–2008 period. Variables are as defined in the Appendix. ♣Annual reports (from which information in bidding company pre-acquisitions operation in the target country was obtained) were not available for all bidders, and we therefore include a residual category of ‘no information’. *Data on accounting quality is missing for 24 bidders in the sample of targets, and for 2 targets in the sample of bidders. †Data on legal origin and country corporate governance factors is missing for 12 bidders in the sample of targets, and for 1 target in the sample of bidders, thus reducing the samples to 239 targets and 145 bidders, respectively, when the difference in legal origin or country corporate governance variables are included in the analysis.
Several prior studies suggest exchange rate changes may have an impact on abnormal returns from cross-border acquisitions, although the evidence from prior literature, as discussed in Section 2, is mixed. While both Harris and Ravenscraft (1991) and Conn et al. (2005)‘ … measure the strength of the buyer's home currency relative to the [target's home currency] as the proportionate deviation from the average exchange rate for the sample period’ (Harris and Ravenscraft, 1991, p. 832), we would argue this measure is unsatisfactory. By comparing the exchange rate to the average for the sample period, observations during the early parts of the sample period will be compared to predominately future exchange rates, while observations during the latter parts of the sample period will be compared to historic exchange rates. There is thus an inconsistency in this approach. Furthermore, this approach seems to implicitly assume that managers in the early parts of the sample period are able to forecast exchange rate movements, and time their acquisitions to when their currency is strong relative to future exchange rates. In order to avoid such look-ahead bias, we use the change in the exchange rate over the 12 months prior to the date of the bid announcement as our measure of exchange rate change.32 Contrary to the predictions of Froot and Stein (1991) of companies acquiring abroad when their currency is strong, for the sample of targets, the currency of the bidder on average fell by a significant 1.43% relative to the currency of the target during the year prior to the acquisition. However, for the sample of bidders, the mean exchange rate change is positive but insignificant.
We next explore the differences in the governance characteristics of the bidder and target countries, analysing the impact of legal origin, the level of anti-director rights, the rule of law and the overall level of shareholder protection, which combines the level of anti-director rights and the rule of law. Following Bris and Cabolis (2008) and Kuipers et al. (2009), we obtain data on international variations in corporate governance regimes from La Porta et al. (1998). We also control for the quality of accounting information, using data from La Porta et al. (1998),33 with variable definitions given in the Appendix. In the bottom section of Table 6, we report descriptive statistics for the governance characteristics of the main countries. The UK, with its English legal origin, scores 5 (out of 6) on anti-director rights, 8.57 (out of 10) on the rule of law and 4.29 (out of 6) on shareholder protection. The Centre for International Financial Analysis and Research, as reported in La Porta et al., rate the accounting quality in the UK at 78 (out of 90).
Descriptive statistics for the differences in country corporate governance characteristics between bidder and target countries are reported in the middle section of Table 6. For the target sample we generally find the bidders to have lower levels of anti-director rights and shareholder protection overall, but a higher level of rule of law than the targets, while for the bidder sample the results are reversed. This reflects the sample construction, focusing on cross-border acquisitions into and out of the UK. A large proportion of our cross-border targets are UK companies, and with the UK having high governance standards, it is not surprising that, in our sample, cross-border bidders on average come from countries with lower governance scores than the targets. The results are reversed for the sample of bidders, where again UK companies account for a large proportion of the sample. As not all overseas target countries have similarly high corporate governance standards, we observe that the cross-border bidders in the sample on average have higher governance scores than the targets. The exception is the rule of law, where the UK is rated lower than several of the other countries included in the study.
Before analysing the impact of these cross-border characteristics on the target and bidding company cross-border effects, we analyse the correlations between the various variables. The correlation matrices for targets and bidders are reported in Panels A and B of Table 7, respectively. We find no significant correlations between either bidder prior cross-border acquisition experience or exchange rate changes and the cross-border effects for either targets or bidders. We do, however, find target cross-border effects to be higher where the bidder already has operations in the target country. As suggested by Aybar and Ficici (2009), companies may make better acquisitions with local market knowledge, and there may be more scope for synergies if a company already has operations in the market. This may account for the higher target cross-border effects when bidders already have operations in the target country. However, the correlation matrix for bidders in Panel B suggests the bidder cross-border effects are higher when the company enters a new market, consistent with prior evidence of e.g., Doukas and Travlos (1988). Market access thus appears to be valuable to cross-border bidders.
3-Day CB effect | UK | EEA | US | RoW | B Prior Ops in T Country | B no Prior Ops in T Country | B Prior CB Acq Experience | ΔExrate | Acc. Quality | English Legal Origin | Anti-Director Rights | Rule of Law | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Panel A: Targets | |||||||||||||
T UK | −0.291*** | ||||||||||||
T EEA | 0.054 | −0.255*** | |||||||||||
T US | 0.290*** | −0.870*** | −0.098 | ||||||||||
T RoW | −0.001 | −0.255*** | −0.029 | −0.098 | |||||||||
B prior ops in T country | 0.119* | −0.314*** | −0.013 | 0.034*** | −0.013 | ||||||||
B no prior ops in T country | −0.012 | −0.071 | 0.134** | −0.027 | 0.134** | −0.267*** | |||||||
B prior CB acq experience | 0.041 | −0.329*** | −0.026 | 0.333*** | 0.071 | 0.604*** | −0.079 | ||||||
ΔExrate | 0.028 | −0.115* | 0.024 | 0.090 | 0.062 | −0.063 | −0.062 | −0.075 | |||||
Accounting Quality | 0.303*** | −0.864*** | 0.210*** | 0.776*** | 0.152** | 0.301*** | 0.031 | 0.279*** | 0.122* | ||||
English Legal Origin | 0.184*** | −0.466*** | 0.350*** | 0.306*** | 0.089 | 0.069 | 0.020 | 0.231*** | 0.039 | 0.582*** | |||
Anti-Director Rights | 0.217*** | −0.481*** | 0.360*** | 0.323*** | 0.129** | 0.016 | 0.003 | 0.146** | 0.091 | 0.644*** | 0.904*** | ||
Rule of Law | −0.186*** | 0.805*** | −0.097 | −0.735*** | −0.213*** | −0.308*** | −0.072 | −0.322*** | −0.052 | −0.658*** | −0.302*** | −0.269*** | |
Shareholder Protection | 0.124* | −0.072 | 0.317*** | −0.054 | 0.023 | −0.147** | −0.035 | −0.009 | 0.069 | 0.313*** | 0.779*** | 0.884*** | 0.203*** |
Panel B: Bidders | |||||||||||||
B UK | 0.054 | ||||||||||||
B EEA | 0.048 | −0.162* | |||||||||||
B US | −0.070 | −0.906*** | −0.118 | ||||||||||
B RoW | 0.002 | −0.187** | −0.024 | −0.136 | |||||||||
B prior ops in T country | −0.081 | 0.431*** | 0.031 | −0.486*** | 0.064 | ||||||||
B no prior ops in T country | 0.137* | 0.226*** | −0.051 | −0.240*** | 0.075 | −0.397*** | |||||||
B prior CB acq experience | −0.007 | 0.298*** | −0.012 | −0.274*** | −0.076 | 0.368*** | −0.062 | ||||||
ΔExrate | −0.011 | 0.278*** | −0.114 | −0.271*** | 0.065 | 0.067 | 0.059 | 0.095 | |||||
Accounting Quality | 0.038 | 0.855*** | −0.122 | −0.787*** | −0.136 | 0.404*** | 0.199** | 0.299*** | 0.252*** | ||||
English Legal Origin | 0.097 | 0.442*** | −0.400*** | −0.260*** | −0.156* | −0.093 | 0.443*** | −0.050 | 0.089 | 0.371*** | |||
Anti-Director Rights | 0.115 | 0.452*** | −0.379*** | −0.288*** | −0.181** | −0.040 | 0.361*** | 0.025 | 0.141* | 0.466*** | 0.827*** | ||
Rule of Law | −0.020 | −0.895*** | 0.112 | 0.829*** | 0.140* | −0.461*** | −0.096 | −0.250*** | −0.305*** | −0.705*** | −0.305*** | −0.337*** | |
Shareholder Protection | 0.099 | −0.182** | −0.301*** | 0.300*** | −0.082 | −0.373 | 0.299*** | −0.157* | −0.076 | −0.046 | 0.614*** | 0.758*** | 0.356*** |
- Notes: *, ** and *** indicate significance at the 10%, 5% and 1% levels, respectively. The table reports (in Panel A) Pearson correlation coefficients between 3-day (t–1, t+1) market model target company cross-border effect, while Panel B reports correlation coefficients for bidders. Cross-border effects are measured as the difference in cumulative abnormal returns in cross-border and matched domestic acquisitions, with matching based on country, year, industry and total assets. Variables are as defined in the Appendix.
We also find target cross-border effects to be higher in English legal origin countries and to be positively correlated with the strength of anti-director rights, shareholder protection and accounting quality in the bidder country relative to that of the target country, though targets gain less where the rule of law is stronger in the bidder than in the target country. However, none of the country corporate governance characteristics appear to be significantly correlated with bidder cross-border effects. Not surprisingly, we find the various governance variables to be highly correlated, with several of the correlation coefficients exceeding 0.6. Including all the country variables in the same regression analysis could lead to problems of collinearity, and we therefore analyse the impact of the country governance variables one at a time. The analysis in Section 5 suggested bid characteristics significantly affect the level of target and bidder abnormal returns, and we therefore also control for these factors in the cross-sectional analysis of the cross-border effects below.
(ii) Cross-Sectional Analysis of the Impact of Cross-Border Characteristics on Cross-Border Effects

In columns 2 to 6 of Table 8 for targets, and columns 8 to 12 for bidders, we expand the model to incorporate accounting and corporate governance variables, capturing the differences between bidder and target country characteristics in terms of accounting quality, English legal origin, anti-director rights, rule of law and the overall level of shareholder protection, respectively.
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Targets | Bidders | |||||||||||
Constant | 0.0944 | 0.1729* | 0.1006 | 0.1260 | 0.0400 | 0.1064 | 0.0093 | 0.0169 | 0.0125 | 0.0071 | 0.0141 | 0.0087 |
B prior ops in T country | 0.0461 | 0.0475 | 0.0568 | 0.0657 | 0.0485 | 0.0712 | −0.0194 | −0.0126 | −0.0195 | −0.0192 | −0.0187 | −0.0189 |
B no prior ops in T country | −0.0229 | −0.0205 | −0.0184 | −0.0093 | −0.0173 | −0.0020 | 0.0016 | 0.0110 | 0.0065 | 0.0013 | 0.0014 | 0.0004 |
B prior CB acq experience | −0.0557 | −0.0396 | −0.0705 | −0.0690 | −0.0544 | −0.0695 | 0.0114 | 0.0131 | 0.0112 | 0.0120 | 0.0115 | 0.0120 |
ΔExrate | −0.0714 | −0.1502 | −0.1450 | −0.1595 | −0.1572 | −0.1738 | 0.0047 | −0.0084 | 0.0031 | 0.0043 | 0.0088 | 0.0061 |
Accounting Quality | 0.0072** | −0.0005 | ||||||||||
English Legal Origin | 0.0611 | −0.0089 | ||||||||||
Anti-Director Rights | 0.0316** | 0.0026 | ||||||||||
Rule of Law | 0.0331 | 0.0040 | ||||||||||
Shareholder Protection | 0.0349** | 0.0032 | ||||||||||
Company EEA | 0.1602* | 0.0907 | 0.0855 | 0.0450 | 0.1979** | 0.0638 | 0.0167 | 0.0132 | 0.0067 | 0.0245 | 0.0079 | 0.0224 |
Company US | 0.2054*** | 0.0846 | 0.1803*** | 0.1612*** | 0.2816*** | 0.2004*** | −0.0115 | −0.0112 | −0.0136 | −0.0092 | −0.0213 | −0.0128 |
Company RoW | 0.0573 | −0.0296 | 0.0270 | −0.0001 | 0.1321** | 0.0380 | −0.0037 | −0.0090 | −0.0083 | 0.0008 | −0.0125 | −0.0022 |
Cash | 0.0244 | 0.0111 | 0.0247 | 0.0235 | 0.0231 | 0.0241 | 0.0043 | 0.0017 | 0.0043 | 0.0049 | 0.0043 | 0.0049 |
Equity | −0.1251* | −0.1287* | −0.1229* | −0.1303* | −0.1289* | −0.1355* | 0.0190 | 0.0190 | 0.0204 | 0.0177 | 0.0190 | 0.0174 |
Company Size | −0.0277** | −0.0313** | −0.0230* | −0.0240* | −0.0243* | −0.0240* | −0.0028 | −0.0038 | −0.0031 | −0.0028 | −0.0029 | −0.0028 |
Relative Size | 0.0336** | 0.0339** | 0.0333** | 0.0335** | 0.0338** | 0.0336** | ||||||
Tender Offer | 0.0002 | −0.0004 | −0.0113 | −0.0108 | −0.0033 | −0.0127 | 0.0002 | −0.0018 | −0.0004 | 0.0012 | 0.0008 | 0.0015 |
Stake% | −0.0034** | −0.0024 | −0.0034* | −0.0035* | −0.0029 | −0.0033* | −0.0007 | −0.0011 | −0.0007 | −0.0007 | −0.0007 | −0.0007 |
Diversifying | −0.0111 | 0.0121 | −0.0121 | −0.0126 | −0.0080 | −0.0112 | 0.0171 | 0.0189 | 0.0168 | 0.0175 | 0.0171 | 0.0176 |
Early ‘90s | 0.0191 | −0.0157 | 0.0297 | 0.0236 | 0.0167 | 0.0219 | 0.0310 | 0.0280 | 0.0325 | 0.0300 | 0.0300 | 0.0291 |
Late ‘90s | 0.0749 | 0.0805 | 0.0729 | 0.0688 | 0.0858* | 0.0712 | 0.0144 | 0.0090 | 0.0161 | 0.0134 | 0.0137 | 0.0128 |
Early ‘00s | 0.1213** | 0.1169** | 0.1201** | 0.1214** | 0.1240** | 0.1217** | 0.0412 | 0.0387 | 0.0431 | 0.0389 | 0.0393 | 0.0380 |
Late ‘00s | 0.1324 | 0.1256 | 0.1453 | 0.1408 | 0.1530 | 0.1443 | −0.0214 | −0.0218 | −0.0203 | −0.0227 | −0.0233 | −0.0233 |
Sample | 251 | 226 | 239 | 239 | 239 | 239 | 138 | 136 | 137 | 137 | 137 | 137 |
Adj R2 | 9.7% | 9.1% | 8.9% | 9.8% | 8.9% | 10.3% | 0.1% | 0.2% | 0.0% | 0.0% | 0.0% | 0.0% |
F-value | 2.69 | 2.75 | 2.64 | 2.98 | 2.55 | 3.01 | 0.95 | 1.14 | 0.98 | 0.94 | 1.05 | 0.92 |
(p-value) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.518) | (0.338) | (0.489) | (0.533) | (0.416) | (0.559) |
- Notes: The table reports cross-sectional regression results for the analysis of target (columns 1–6) and bidder (columns 7–12) cross-border effects in acquisitions into and out of the UK during the 1980–2008 period, calculated as the difference in abnormal returns to cross-border and matched domestic companies, with CAR estimated over a 3-day (t–1, t+1) event window using the market model. The basic regression model is specified as follows: β1 captures cases where the bidder had operations in the target country prior to the acquisition, and β2, cases where the bidder had no prior operations in the target country. β3 captures cases where the bidder had prior cross-border acquisition experience, and β4 captures the change in the exchange rate between the bidding and target countries’ currencies over the year prior to the bid announcement. RelativeSize is missing for a large number of targets (and is not significant in any model for targets), and we therefore report results for targets excluding this variable, in order to maintain a larger sample size. In columns 2 to 6 for targets, and columns 8 to 12 for bidders, we expand the model to incorporate the difference between bidder and target country characteristics in terms of Accounting Quality, English Legal Origin, Anti-Director Rights, Rule of Law and Shareholder Protection. These variables are introduced one at a time, given the high correlation between the country governance variables. Variables are as defined in the Appendix. *, ** and *** indicate significance at the 10%, 5% and 1% level, respectively, from two-tailed t–tests with robust White (1980)-adjusted standard errors. For bidders, the robust standard errors also control for clustering (Peterson, 2009), due to some bidders appearing in the sample more than once. (No target appears in the sample more than once.)
The results for targets are reported in columns 1 to 6 of Table 8. While the correlation matrix in Table 7 suggested target returns are higher where the bidder has existing operations in the target country prior to the acquisition, the coefficient, while positive, is not statistically significant in the multiple regression analysis. Similarly, neither the bidders’ prior cross-border acquisition experience nor exchange rate changes are found to have a significant impact on target cross-border effects. However, consistent with the results in Table 1, we find significant differences in target cross-border effects depending on the nationality of the target, with particularly high gains for US targets, and to a lesser extent non-UK EEA targets. We also find significant time trends in the cross-border effects, with target abnormal returns significantly higher during the early 2000s than during the 1980s. We also find bid characteristics to significantly impact the target company cross-border effects, with significantly lower gains to target company shareholders when they are paid in shares, where the target company is large, and where the bidder owns shares in the target prior to the bid announcement.
In column 2, we incorporate the effect of accounting quality. Consistent with Bris and Cabolis (2008), we find the target company cross-border effect to be significantly higher where the accounting quality in the bidder country exceeds that of the target country. Bris and Cabolis argue that ‘ … improvements in accounting standards induced by consolidation in cross-border mergers are associated to larger premia’ (pp. 631–32). If targets are more likely to be undervalued in countries with low accounting quality, the positive impact on the target cross-border effect may also be a result of the targets having had low valuations prior to the bids, resulting in high returns when these undervaluations are removed.
The accounting quality proxy used in the analysis reported in column 2 is based on CIFAR data obtained from La Porta et al. (1998). To test whether the results hold when we control for the recent adoption of IFRS, we introduce two robustness tests. Firstly, we adjust the CIFAR data for the adoption of IFRS, and secondly, we use the Financial Reporting Quality Index (FRQI) developed by Tang et al. (2008) as alternative proxies for accounting quality. With both proxies, the results are virtually identical to those obtained using the CIFAR scores, with accounting quality significant at the 95% level in the analysis of target cross-border effects.35
Turning to the impact of differences in bidder and target country corporate governance systems, we find non-robust results for English legal origin and the rule of law. As argued by Martynova and Renneboog (2008, p. 206), English legal origin countries provide the highest quality of shareholder protection. However, while the correlation matrix in Table 7 suggests target returns are significantly higher if the bidder comes from an English legal origin country, the coefficient on legal origin is not significant in the multivariate analysis (Table 8, column 3) when we also control for target company nationality. Similarly, the impact of rule of law is not robust, switching from significantly negative in the univariate analysis to insignificantly positive in column 5 of Table 8.
We do, however, find strong results for the impact of anti-director rights and the overall level of shareholder protection (which combines the effect of anti-director rights and the rule of law), with target cross-border effects higher where the bidder country offers shareholders stronger rights and protection than are available in the target country. Our results are consistent with those of Bris and Cabolis (2008), who argue that:
If the merger premium incorporates (even if only partly) the value of the target firm under the new controlling shareholders, then the premium will be a function of the improvement in investor protection caused by the cross-border merger (p. 632).
As can be seen from columns 4 and 6 of Table 8, these results hold even when we control for target nationality and other company characteristics. Overall, our model can explain up to 10.3% of the cross-sectional variation in target returns. However, while we find differences in the levels of shareholder protection to have a significant impact on target cross-border effects, we still find large country effects in the abnormal returns. The cross-border effect is significantly higher for US than for UK targets. Thus, consistent with Conn and Connell (1990) and Rossi and Volpin (2004), we find US targets to be able to extract very high premia from UK bidders.
The cross-sectional regressions of bidder returns are reported in columns 7 to 12 of Table 8. While the univariate analysis suggests a significant positive correlation between the bidder cross-border effect and new market access, the coefficient is small and no longer significant in the multiple regression. Indeed, we find none of the country governance variables to have a significant impact on bidder returns. Our findings are consistent with those of Martynova and Renneboog (2008), who in their study of European acquisitions similarly do not find corporate governance factors to have a significant impact on bidder returns. Our results are consistent with cross-border acquisitions creating more value when the bidder comes from a country with stronger anti-director rights and shareholder protection than that of the target country, but with the additional gains being reflected in target returns, rather than in the abnormal returns of bidders.
We do, however, find the relative size of the target and bidder to have a significant impact on bidder returns, with the bidder cross-border effect higher the larger the target relative to the size of the bidder. Large cross-border acquisitions thus appear to have a more positive impact on bidder returns.
7. CONCLUSIONS
Cross-border acquisitions make up an increasing proportion of takeover activity around the world, but despite the significant scale of international acquisitions, our understanding of the target and bidding company wealth effects of such transactions is still limited. This study aims to address this gap. The UK has been ‘the largest acquiring country worldwide’ (UNCTAD 2000, in Conn et al., 2005, p. 816), and in recent years the value of cross-border acquisitions has exceeded the value of domestic acquisitions in the UK.
Studying 251 targets and 146 bidders in cross-border acquisitions involving UK companies over the 1980–2008 period, and matching the companies in the cross-border acquisitions with the same number of targets and bidders in comparable domestic acquisitions (with matching based on country, year, industry and firm size), we find the abnormal returns to both targets and bidders to be significantly higher in cross-border than in domestic acquisitions. The target company cross-border effect on average amounts to a highly significant 10.1 percentage points over a 3-day event window.
However, despite the high returns to targets in cross-border acquisitions, we find bidding company shareholders, on average, also to perform significantly better – or rather, less poorly – in cross-border than in comparable domestic acquisitions, with the 3-day bidding company cross-border effect amounting to a significant 1.5 percentage points. Thus, while targets gain substantially more in cross-border than in domestic acquisitions, the target company cross-border effect does not in general appear to be the result of bidder over-payment, but rather reflects the substantially higher overall wealth creation in cross-border as compared to domestic acquisitions. While bidders in domestic acquisitions on average encounter significant negative abnormal returns, cross-border acquisitions on average have only a small, and insignificant, impact on bidding company share prices. Thus, the overall wealth creation appears to be significantly higher in cross-border than in domestic acquisitions. While the acquisition gains normally accrue to target rather than to bidding company shareholders, we find the bidder cross-border effect to be significantly higher in acquisitions of relatively large targets. We believe this is the first study to uncover significant cross-border effects for both targets and bidders.
Bid characteristics have a significant impact on target abnormal returns, with targets generally gaining less when paid in shares, if the target is large, or if the bidder holds shares in the target prior to the acquisition. However, differences in bid characteristics do not explain the higher gains to targets of foreign bidders. The target company cross-border effect remains in excess of 9 percentage points over a 3-day event window even after we control for the impact of bid characteristics. We find some time-variation in the abnormal returns, with the target company cross-border effect particularly high during the early 2000s.
We find weak evidence to suggest that targets gain more when the cross-border bidders had operations in the target country prior to the acquisition, but that foreign bidders performed somewhat better when entering new markets. However, neither effect is statistically robust. The support for the market access hypothesis is thus weak. We do not find whether the bidder had prior cross-border acquisition experience to have a significant impact on either target or bidder returns, and we similarly find no support for the exchange rate hypothesis, with exchange rate changes having no significant impact on the announcement period abnormal returns to either target or bidding company shareholders.
The level of target abnormal returns varies significantly with the nationality of the target, with the cross-border effects particularly high for US targets. This may be related to the competitive takeover market in the US, and the desire of UK companies to acquire into this large market. However, we find differences in accounting quality and international variations in governance systems to also have a significant impact on abnormal returns. If companies are better managed in countries with good corporate governance systems, bidders from countries with high accounting quality and a tradition of affording shareholders strong shareholder rights may be expected to make better acquisitions. However, our results suggest it is the targets rather than the bidders who benefit from bidders having superior governance systems. While we find no evidence of differences in bidder and target country accounting quality or governance systems having a significant impact on bidder abnormal returns, we find the target company cross-border effects to be significantly higher where the bidder comes from a country with higher accounting quality, anti-director rights or level of shareholder protection than their own.
Sample | The analysis is based on a sample of cross-border acquisitions into and out of the UK during the 1980-2008 period, with each cross-border target and bidder matched to a target or bidder engaged in a comparable domestic acquisition. Matching is based on country, year, industry and size (total assets within 50% - 200% range of the cross-border company). Acquisitions are classified as Domestic where both the target and bidder are located in the same country; as Cross-Border into the UK where a UK company is acquired by an overseas company; and as Cross-Border out of the UK where a UK company acquires an overseas company. | Thomson ONE Banker |
Payment Method Offered | Payment method categories: Cash Only, Equity Only and Mixed Payment. Two 0-1 dummy variables are included, taking the value 1 for cash payment and equity payment, respectively, with mixed payment as a residual category captured by the intercept in the regressions. | Thomson ONE Banker |
Company Size | This is measured by the market value of equity (in £ millions) on day 41 prior to the bid announcement date (t-41). In the analysis, a log transformation (LnCompanySize) is used. | DataStream and Thomson ONE Banker |
Relative Size | This is measured as the ratio of the size of the target to the size of the bidder, with size measured by Total Assets. | Thomson ONE Banker |
Tender Offer | Acquisitions are categorised by whether or not they are conducted through a tender offer (acquisition form), with a 0-1 dummy variable taking the value 1 in tender offers. | Thomson ONE Banker |
Stake% | Stake % captures the size of any holding of shares by the bidder in the target prior to the acquisition announcement. (The mean is calculated including cases where the stake was zero.) | Thomson ONE Banker |
Industry | Industrial classifications are based on the primary SIC codes of targets and bidders. We classify companies as follows: Construction, Mining & Agriculture (divisions A, B and C, with SIC codes between 0000 and 1999); Manufacturing (division D, SIC codes 2000-3999); Transport (division E, SIC codes 4000-4999); Wholesale & Retail (divisions F and G, SIC codes 5000-5999); Financials (division H, SIC codes 6000-6999); and Services (division I, SIC codes 7000-9090). We have no observations in divisions J or K. Cross-border and domestic acquisitions are matched based on their industry classification. | Thomson ONE Banker |
Relatedness | Acquisitions are categorised as diversifying where target and bidding companies operate in different primary industry categories (see industry classifications above), with a 0-1 dummy variable taking the value 1 in diversifying acquisitions. | Thomson ONE Banker |
Time Period | We introduce dummy variables to capture the time periods of the acquisitions. 1980s: 1980-1989, Early ‘90s: 1990-1994, Late ‘90s: 1995-1999, Early ‘00s: 2000-2004, and Late ’00s: 2004-2008. In the cross-sectional regressions, 1980s is captured by the intercept, with dummy variables for the other time periods introduced. | Thomson ONE Banker |
Location of Overseas Company | Locations (of foreign bidders in cross-border acquisitions into the UK and of overseas targets in cross-border acquisitions by UK companies) are categorised according to whether the country (at the time of the bid announcement) was a non-UK member of the European Economic Area (EEA), whether the company was located in the US, or in the Rest of the World. UK companies are captured by the intercept in the cross-sectional regressions. (Note that we include in the EEA category countries which at the time of the bid announcement were members of either the European Union (or the precursor, the European Community), as well as countries which are members of either the European Free Trade Area or the European Economic Area.) | Thomson ONE Banker |
Prior Operations in Target Country | Annual reports were manually searched for evidence of operations by cross-border bidders in the target country prior to the date of the bid announcement. We classify bidders into cases where the Bidder has prior operations in the target country and where the Bidder has no prior operations in the target country. Where annual reports are unavailable, a third, residual category of No information regarding bidder prior operations in target country is included. In the cross-sectional regressions, we include two 0-1 dummy variables, taking the value 1 where bidders have prior operations in the target country, and 1 where bidders do not have prior operations in the target country, respectively. In cases where there is no information on bidders’ prior operations in the target country, this is a residual captured by the intercept. | Annual Reports, obtained from Perfect Filings. |
Prior Cross-Border Acquisitions | Acquisitions are classified as being undertaken by a company with prior cross-border acquisition experience (with a 0-1 dummy variable taking the value 1) where there is evidence that the bidding company has previously undertaken a cross-border acquisition. | Thomson ONE Banker |
Exchange Rate Change | This is measured by the change in the exchange rate between the bidder and target country currencies over the twelve months prior to the date of the bid announcement. A positive value for this variable indicates that the currency of the bidder has strengthened relative to the currency of the target country during the year leading up to the date of the bid announcement. | Datastream |
English Legal Origin | A 0-1 dummy variable taking the value 1 where the origin of the country's legal system is English. In the analysis, we use the difference in the variable between the bidder (B) and target (T) countries (English Legal OriginB-T). | La Porta et al. (1998) |
Accounting Quality | For the main analysis of Accounting Quality, we use an index (out of 90) of accounting quality created by the Centre for International Financial Analysis and Research (CIFAR), based on an assessment of the country's average quality of annual reports. In the analysis, we use the difference in the variable between the bidder (B) and target (T) countries (Accounting Quality B-T). Two other Accounting Quality indices are used as robustness checks. Firstly, we adjust the CIFAR data for the adoption of IFRS (IFRS Adjusted Accounting Quality). Data from ifrs.org identifies adoption dates. For simplicity we assume that all countries adopting IFRS have the same level of accounting quality. We assume, as a reference point, that the UK's accounting quality remained constant with the adoption of IFRS, and that other countries had the same level of accounting quality as the UK from their IFRS adoption date (i.e., the IFRS Accounting QualityB-T score is given the value zero where both countries use IFRS). Secondly, we use Financial Reporting Quality (FRQI) Index data, which evaluates countries’ overall financial reporting quality using 2000-2007 data. Again, in the analysis, we use the difference in FRQI scores of the bidder and target countries (FRQIB-T). | La Porta et al. (1998) (CIFAR Index), ifrs.org, and Tang et al. (2008) (FRQI). |
Anti-Director Rights | Countries are scored on a scale from 0 to 6, with points awarded for various proxies of shareholder rights. In the analysis, we use the difference in the levels of anti-director rights in the bidder and target countries (Anti-Director Rights B-T). | La Porta et al. (1998) |
Rule of Law | Countries are scored on a scale from 0 to 10 based on an assessment of the law and order tradition for that country (as assessed by the International Country Risk (ICR) risk-rating agency). In the analysis, we use the difference in the levels of the rule of law in the bidder and target countries (Rule of Law B-T). | La Porta et al. (1998) |
Shareholder Protection | Countries are scored on a scale from 0 to 6 on the effective rights of minority shareholders, calculated as (Rule of Law * Anti-Director Rights)/10. In the analysis, we use the difference in the levels of shareholder protection in the bidder and target countries (Shareholder Protection B-T). | La Porta et al. (1998) |