Director expertise and co-option in industry superannuation funds?
Abstract
This study examines whether independent directors who possess financial expertise and are independent from the CEO (i.e., non-co-opted) are associated with improved outcomes for industry superannuation funds. Our results highlight that independence alone is insufficient to improve fund outcomes. Instead, we find that only non-co-opted independent directors benefit fund members in terms of higher performance and lower fees. Moreover, we find that independent directors' financial expertise is not associated with fund performance and fees. Our study has implications for regulators and superannuation funds who are currently debating the need for one-third independent directors on the board of Australian superannuation funds.
1 INTRODUCTION
Australian superannuation funds have one of the largest pools of managed assets in the world, with assets exceeding the country's gross domestic product (GDP) (OECD, 2020). After the introduction of compulsory superannuation for Australians in 1992, retirement savings have accumulated to $3.3 trillion1 (as at June 2021) and are expected to grow to $9.5 trillion by 2035 (Deloitte, 2015). Given the size and importance of the superannuation industry, the Australian Government and regulators have raised concerns about the perceived limitations of Australian superannuation fund governance practices. These concerns have been identified in several Australian Government commissioned reviews, including the Cooper Review (Cooper et al., 2010), the Murray Inquiry Report (2014), the Productivity Commission Review (2018), and the Banking Royal Commission (Hayne, 2019). Notably, the reviews highlight the excessive and unnecessary fees charged by some superannuation funds to their members (Cooper et al., 2010; Hayne, 2019) and make numerous recommendations to address perceived limitations in existing governance practices. Many of these recommendations remain controversial, with industry superannuation funds being the strongest opponent to change, claiming that their existing governance arrangements deliver the best outcomes for members (AIST, 2017).
A major concern arising from these reviews relates to recommendations, that if implemented, would significantly change the current board structure of industry superannuation funds away from an equal representation model (i.e., equal number of employer and member directors) to a minimum one-third independent directors and an independent chairperson on the board.2 Currently independent directors on the board of industry superannuation funds have the right to vote at board meetings under the terms of the constitution; their duties are the same as any other directors on the board in that they are required to act honestly and in the best financial interests of fund members (s52 and s52A of the Superannuation Industry (Supervision) Act 1993 (Cth)) (SIS Act). In addition to the requirement for increased board independence, several reviews also call for more qualified and competent board members (Cooper et al., 2010; Productivity Commission, 2018). Implicit in these reviews is that superannuation fund performance and fees charged to members, and consequently the value of member retirement benefits, will improve following changes in board-level governance.
Industry superannuation funds, however, have opposed the recommendations for increased board independence. They argue that the current equal representation model is fit for purpose, as evidenced by the fact that industry superannuation funds consistently outperform their peers (e.g., retail superannuation funds) (Crowe & Owens, 2015; Mather, 2015). Unlike other types of superannuation funds, industry funds are ‘profit-to-member’ funds and they have no incentive to produce profits for shareholders. Moreover, it is argued that equal member representation on industry superannuation boards guarantees balance in decision making, and hence ensures that members' interests are always advanced. Consistent with this view, the Australian Institute of Superannuation Trustees (AIST) have recommended that the Australian Senate reject changing the current industry superannuation fund governance practices in the absence of evidence the current model is flawed or that amendments will improve member outcomes (AIST, 2015).
To date, empirical evidence suggests there is no association between board independence and superannuation fund outcomes (Liu, 2014; Nisbet, 2013). Having more independent directors does not necessarily improve firm decisions and performance in publicly listed firms (Hermalin & Weisbach, 2003; Klein, 1998). Rather, more recent studies suggest that it is the expertise and motivation of independent directors in their monitoring and advising role that are associated with more effective governance (Bedford et al., 2022; Gul & Leung, 2004). In particular, not all independent directors have the financial expertise needed to fully understand the complexities of operating a superannuation fund, thus diminishing their ability to both monitor and advise fund managers. This is particularly relevant for industry superannuation funds, whereby ‘member’ directors – who are often appointed by trade unions – lack the financial expertise needed in their monitoring and advising. This lack of financial expertise is likely to inhibit their ability to advise fund management on complex investment matters.
Recent literature suggests the independence of the board is more nuanced than using a simple measure of independence and that independent directors that are co-opted may result in the board being captured by the CEO (Coles et al., 2014). In this instance, monitoring by the board is impaired whereby co-opted independent directors show loyalty and allegiance to management and do not question managerial decisions. As such, the heterogeneity of independent boards could explain the lack of an association between board independence (measured in a binary form) and superannuation funds. We extend the literature on superannuation fund governance by examining whether independent director financial expertise and board co-option are associated with superannuation fund outcomes (i.e., fund performance and fees charged to members).
Using a sample of 375 fund-year observations for Australian industry superannuation funds from 2010 to 2020, our results indicate that the percentage of independent directors is unrelated to both fund performance (measured through excess return on assets) and fees charged to members (measured as excess total expenses scaled by assets). Our results also show an insignificant association between independent director financial expertise and superannuation fund performance and fees charged to members. However, we show funds with independent directors who are independent from management (i.e., not co-opted) benefit from improved performance and charge lower excess fees to members. This result indicates that simply adding more independent directors to the boards of industry superannuation funds may not lead to improved member outcomes if the directors can be unduly influenced by management. These findings are important given the recent regulatory push towards mandating more independent directors on superannuation fund boards.
Other results documented in this study suggest that superannuation fund performance is significantly higher when a greater proportion of the board is busy, and the fund invests a higher proportion of assets into equity. Regarding superannuation fund fees, we find that smaller funds and funds with more experienced directors charge significantly higher fees to their members. Interestingly, board gender diversity, an independent chairperson and director tenure are unrelated to superannuation fund performance and fees. In additional testing we repeat our analysis on a sample of retail funds; the results indicate that board independence, and independent director financial expertise and co-option, are unrelated to retail fund fees and performance.
This study contributes to both the academic literature and informs the current considerations for regulatory reforms. First, despite the controversial superannuation governance bills (the Superannuation Legislation Amendment (Trustee Governance) Bill 2015 (Cth) and the Superannuation Laws Amendment (Strengthening Trustee Arrangements) Bill 2017 (Cth)) introduced in the Australian Senate, and the ongoing debate regarding the composition of the board of directors in superannuation funds, empirical evidence on this issue is limited (Coorey & Mather, 2015; Mather, 2014). There is insufficient evidence to determine whether current governance practices are effective or whether potential regulatory intervention is required (Coorey & Mather, 2015; Hewett, 2014; Mather, 2014, 2017). While some studies explore the governance of superannuation funds, they generally find no association between board independence and superannuation outcomes. Their lack of findings may be due to their analysis being based on small sample sizes (Liu, 2014; Nguyen et al., 2012; Nisbet, 2013). We extend the existing literature by examining both a more comprehensive sample of industry superannuation funds and providing evidence from a period after the 2010 Cooper Review.
Second, board independence is at the core of policy debates in the governance of superannuation funds; however, it is unclear whether board independence affects fund outcomes. Our results are inconsistent with the current regulatory call for more independent directors; our data show that having more independent directors on the board does not improve outcomes for industry superannuation funds. Instead, our findings suggest that regulators should not focus on board member independence as a binary characteristic. Specifically, our results imply that to be an effective advisor and monitor, independent board members should be independent from management (Mather, 2019). Finally, the findings in this study indicate that independent director financial expertise is not associated with superannuation fund performance and/or excessive fees; this is inconsistent with the regulatory push for more qualified and competent directors. Overall, the findings of this study suggest that any proposed regulations requiring changes to how superannuation funds are governed should be evidence based and implemented with care given the changes may not necessarily improve member outcomes.
The remainder of this study is structured as follows. Section 2 outlines the institutional setting of Australian superannuation funds. Section 3 reviews the literature and develops hypotheses on the influences of governance practices on the performance and fees of superannuation funds. Section 4 presents the research design and discusses the sample collection. Section 5 presents and discusses the results and Section 6 describes additional tests. Section 7 concludes the paper.
2 INSTITUTIONAL SETTING OF AUSTRALIAN SUPERANNUATION FUNDS
Australia is one of the few countries3 that requires employers to make compulsory contributions to employees' superannuation. Compulsory superannuation was mandated under the SIS Act 1993 to accumulate Australian's retirement savings.4 The balances in Australian superannuation funds have consequently been one of the largest and fastest growing in the world (OECD, 2020). There are four main types of Australian superannuation funds regulated by APRA: corporate, industry, public sector and retail.5 The fees paid by members of Australian superannuation funds increased to about $31 billion in 2016 (Rainmaker, 2017). According to the OECD, the total administrative (investment) expense ratio of Australian superannuation funds has been between 0.4 and 0.7 percent (0.1 and 0.3 percent) since 2010 – consistently above the ratio observed in many other OECD countries.
Due to the sheer size of superannuation funds, concerns have been raised publicly about the lack of transparency and comparability of superannuation fund products, and the high fees paid by members (Collett, 2009; Ferguson, 2010). The first comprehensive review was conducted in 2010 – 18 years after the introduction of compulsory superannuation. The Rudd Government commissioned the Super System Review (known as the Cooper Review) in 2010 to examine concerns about the governance, efficiency, structure and operation of Australian superannuation funds. Subsequently, the 2014 Financial System Inquiry (known as the Murray Inquiry) examined the efficiency, resilience and fairness of the Australian financial system. In 2016, in response to recommendations of the Murray Inquiry, the Australian Government established the Productivity Commission to review and assess the efficiency and competitiveness of the Australian superannuation fund system.6 These reviews highlighted several issues and provided recommendations in relation to the governance practices of Australian superannuation funds.
The varying board structures employed by superannuation funds received the greatest criticism in the reviews. Industry superannuation funds were criticised for employing an equal representation model for board composition, which allows employers and members to participate in board decisions; however, most employer and member representatives are no longer elected by employers or fund members but are appointed by third parties such as employer associations and trade unions. The Cooper Review highlighted this model led to an increase in board size and suggested that the model is no longer adequate.
The government-initiated reviews also highlighted a lack of independent directors on superannuation fund boards. APRA (2019) data show that across all superannuation funds there were only 95 independent directors, accounting for 10.4 percent of directorships. The Cooper Review argued that independent directors have an advising function and play an important role in making objective decisions; the review recommends that funds subject to the equal representation model engage at least one-third independent directors who have no affiliation with any person or entities related to the fund or any related entity (Recommendation 2.7). The later Murray Inquiry recommended that Australian superannuation funds have a majority of independent directors on the board as well as an independent chairperson (Recommendation 13). These recommendations that push for more independent directors and an independent chairperson on the board have been adopted by the Australian Senate, which recommended one-third independent board members. Unlike publicly listed firms, independent directors on the board of industry superannuation funds are typically appointed by existing employer and member directors. The directors attend, speak, contribute and vote at board meetings under the terms of the fund's constitution.7 Importantly, their duties as directors on the board are the same as any other director and subject to governing rules set out in sections 52 and 52A of the SIS Act 1993. Their duties are to act honestly (s52(2)(a) and s52A(2)(a) of the SIS Act 1993) and act in the best financial interest of members (s52(2)(c) and s52A(2)(c) of the SIS Act 1993) in relation to all matters affecting the entity (s52(2)(b) and s52A(2)(b) of the SIS Act 1993). Notwithstanding their important role in advising, monitoring and making objective decisions, the proposed reforms to increase the number of independent directors on superannuation boards has received opposition from industry superannuation funds who claim that the current system serves members effectively.
This study focuses on industry superannuation funds as they face the most significant change to their board structure from the recommendations of the Cooper Review and Murray Inquiry. Industry superannuation funds also represent a significant proportion of Australian superannuation balances, making up approximately 28 percent ($917 billion of a total of $3307 billion balances as at June 2021; APRA, 2021b), followed by 23 percent ($761 billion) for the public sector funds and 21 percent ($690 billion) for retail funds, and therefore their performance has a significant impact on the Australian economy.
3 LITERATURE REVIEW AND HYPOTHESES DEVELOPMENT
Many of the governance mechanisms that mitigate agency problems in publicly listed firms are not present in superannuation funds. First, there are no large blockholding investors in superannuation funds providing an external monitoring mechanism. Second, there are no debtholders as Australian superannuation funds are not allowed to borrow under the SIS Act 1993. Third, there is no secondary market which means equity incentives cannot be used to align the interests of managers with those of beneficiaries. Finally, beneficiaries cannot sell their assets in a secondary market and cannot access their retirement benefits until they reach preservation age.8 Due to this lack of corporate governance mechanisms, the potential agency costs for superannuation funds are higher than for listed companies (Clark & Urwin, 2008). The board of directors provides the main monitoring mechanism for superannuation funds to minimise agency costs (Bryan et al., 2008; Hess & Impavido, 2004; Jensen, 1993; Liu, 2014).
3.1 Relevant literature
While there is an extensive literature on the governance of publicly listed companies,9 few studies have examined the impact of governance on the performance of, and member fees paid to, superannuation funds. This research focuses on providing evidence on self-managed superannuation funds10 and the behavioural aspects of Australian superannuation funds such as superannuation fund members' financial literacy,11 members' behaviour12 and executives' behaviour.13
Although the literature on superannuation funds is scant, there are several studies using small sample sizes that examine the effect of governance practices on superannuation fund performance and fees (Benson et al., 2011; Liu, 2014; Liu & Ooi, 2019; Nguyen et al., 2012; Nisbet, 2013; Tan & Cam, 2015). Some studies find that larger fund boards are associated with better fund performance (Benson et al., 2011) and charge higher fees (Tan & Cam, 2015). Nguyen et al. (2012) argue that as board and fund size increase, more asset consultants are hired, resulting in higher fees and agency costs. In addition to board size, Nisbet (2013) reports that independent directors and board gender diversity of industry superannuation funds are associated with superior performance, whereas independent directors on the board of retail superannuation funds are associated with poorer fund performance. Studies conducted in Poland also confirm a positive effect of independent directors on fund performance (Jackowicz & Kowalewski, 2012; Kowalewski, 2012). In contrast, some Australian studies document that board independence has no association with performance (Liu, 2014) or fees (Tan & Cam, 2015). Tan and Cam (2015) suggest that independent directors do not influence fund costs as they are nominated and elected by other directors on the board. Liu (2014) documents that directors' age, director busyness and a directors' prior superannuation fund experience are negatively associated with performance; and directors' age is positively associated with fees. A more recent study (Liu & Ooi, 2019) investigates the effect of related party outsourcing and director affiliation on investment performance. They find that retail superannuation funds with a greater proportion of affiliated directors generate lower investment performance. In their additional tests, Liu and Ooi (2019) include several governance variables such as independent chairperson, board size and directors with investment experience; however, the variables have an insignificant association with investment performance.
The Australian empirical evidence is conflicting for several possible reasons. First, prior studies use different measures of performance. There is an inherent difficulty in measuring performance due to various investment options and asset allocations. The various performance measures used are rate of return (ROR) (Nguyen et al., 2012; Nisbet, 2013), return on assets (ROA) (Nisbet, 2013), the excess return over a benchmark (Benson et al., 2011) and risk-adjusted over-benchmark return (Liu, 2014). Second, prior studies use small sample sizes, a short time period and focus on particular types of superannuation funds. For example, Benson et al. (2011) use survey data from 34 superannuation funds (industry and public sector superannuation funds) over two consecutive years (2005 and 2006). Nguyen et al. (2012) examine 52 corporate superannuation funds for one year (2010), while Nisbet (2013) uses a sample of 72 observations comprising retail and industry superannuation funds for two separate years (2009 and 2012). Similarly, Liu (2014) uses 100 observations (21 corporate, 46 industry, six public sector and 27 retail superannuation funds) for a single year (2006), and Liu and Ooi (2019) observe 101 superannuation funds between 2015 and 2016. This study builds on and significantly extends these prior studies using a benchmark-adjusted ROA and draws on a larger dataset including both industry and retail superannuation funds (in additional tests) over a longer sample period of 11 years (2010–2020).
3.2 Hypotheses development
The superannuation industry lacks external governance mechanisms. The independent reviews highlight that an effective board is critical in enhancing members' retirement benefits. Based on the recommendations in the Cooper and Murray reviews, more independent directors are viewed as beneficial in terms of increasing the quality of board oversight and lessening the conflict of interest between managers and fund members. Independent directors also bring specialist knowledge and expertise that is different to member and employer representatives.14 The specialist knowledge should allow independent directors to better perform their monitoring and advising roles. Independent directors are also less likely to be beholden to management and are more likely to question management decisions, resulting in a reduction in agency problems. Independent directors and an independent chairperson can also enhance performance as they have incentives to retain their reputation and reduce litigation risks. However, empirical evidence for both public listed firms and superannuation funds suggest that board independence does not improve firm/fund performance (Adams et al., 2010), nor is it related to lower fees charged to members (Nguyen et al., 2012; Tan & Cam, 2015).
Despite the current regulatory push, which calls for more independent boards, the lack of supporting empirical evidence questions whether director independence alone is the most important trait of superannuation fund boards.15 Rather, an emerging literature suggests that the monitoring and advising capacity of independent directors is heightened when they have both the ability and motivation to monitor and advise (Adams & Ferreira, 2007; Bedford et al., 2022; Coles et al., 2014; Crespí-Cladera & Pascual-Fuster, 2014). This literature acknowledges the heterogeneity in independent directors and provides evidence consistent with the view that some directors have greater monitoring and advising abilities, which are associated with improved firm outcomes. In our study, we focus on two characteristics of independent directors that have received significant attention in both the academic literature and in the superannuation governance reviews: financial competence and director independence from the CEO. It is expected that both independence from the CEO and financial competence are associated with the incentive and ability of independent directors to monitor and advise superannuation fund managers on complex investment decisions.
One important board characteristic that has attracted academic attention and has been identified in both the Cooper Review and the Murray Inquiry is the financial competence of independent directors. While financial expertise enhances board oversight (Güner et al., 2008), empirical evidence suggests that superannuation fund directors lack such expertise (Besley & Prat, 2003; Clark et al., 2006; Jackowicz & Kowalewski, 2012), which hampers their ability to advise fund managers. The level of competence and training of superannuation fund directors is not currently regulated. Despite the requirement for directors to be ‘fit and proper’ under the APRA Prudential Standard 520 Fit and Proper and s29D(1)(d) of the SIS Act 1993, and obtain a Registrable Superannuation Entity (RSE) licence, the level of education, qualifications, experience and training are not specified. An inadequate level of skills and knowledge in a specialised and relevant area, such as investment management, potentially leads to poor decision making and, as a result, can have an adverse effect on fund performance and fees charged to members.
Based on the 2018 APRA thematic review on the governance of Australian superannuation funds, APRA indicates that most superannuation funds do not have an optimal board composition with appropriate skills, capabilities and experience of directors.16 Financial expertise is an important skill on superannuation fund boards as their main function is to make investment decisions on behalf of members. As a result, we predict that boards with independent directors with financial expertise are better monitors and advisors and as a result make better investment decisions, which benefits fund performance and fees. Accordingly, we predict:
H1a.There is a positive association between superannuation fund performance and the proportion of independent directors with financial expertise.
H1b.There is a negative association between superannuation fund fees and the proportion of independent directors with financial expertise.
Another desirable characteristic of directors is that they are independent from management. Prior research indicates that independent directors who join the board after the CEO are less independent (Cohen et al., 2012; Coles et al., 2014; Core et al., 1999). This arises due to the CEO's influence over board appointments and the selection of directors who are more ‘sympathetic’, have similar views to them or with whom they share social ties (Bedford et al., 2022; Bruynseels & Cardinaels, 2014; Cohen et al., 2008). As such, directors who are appointed by the CEO (co-opted directors), are expected to be poorer monitors who are less likely to act to curtail managerial discretions due to their loyalty to the CEO. The potential conflict of interest arising from co-option is also recognised in the Cooper Review, which recommends that funds develop a conflict-of-interest policy to address potential conflicts that may arise (Recommendation 2.17). Similarly, the Productivity Commission recommends that the interest and duties of directors need to be clarified to highlight that directors act in the best interest of members (Recommendation 22).17 As such, independence as the sole criterion for improved board functions in superannuation funds is not sufficient. Rather, we propose that non-co-opted independent directors lower agency costs and improve the monitoring and effectiveness of the board as they are more likely to be willing to question the decisions of superannuation fund executives. Hence, we predict that non-co-opted independent directors improve superannuation fund outcomes for members as measured by fund performance and fees. This leads to our second hypothesis:
H2a.There is a positive association between superannuation fund performance and the proportion of non-co-opted independent directors.
H2b.There is a negative association between superannuation fund fees and the proportion of non-co-opted independent directors.
A possible issue with empirically examining the predictions in Hypotheses 1 and 2 is that there may be an insufficient number of independent directors with financial expertise, or that are not co-opted, to make a difference in superannuation fund board level decision making. For instance, the data presented in Panel C of Table 2 shows that when an industry superannuation fund board includes an independent director, the number of independent directors is usually one. If a single independent director is unable to exert sufficient influence over other directors in board-level discussions, then their advisory and monitoring roles may be diminished to such an extent that they have no influence on superannuation fund performance or fees. This effect would suggest that, inconsistent with Hypotheses 1 and 2, there would be no association between superannuation fund performance and fees, and the presence of non-co-opted independent directors or independent directors with financial expertise. Prior governance research in other contexts, however, has established that even a low number of directors with a particular characteristic or attribute is sufficient to influence corporate outcomes. For example, research on board gender diversity indicates that even one or a small number of female directors influences corporate outcomes such as CEO compensation (Bugeja et al., 2016), stock price informativeness (Gul et al., 2011) and takeover outcomes (Levi et al., 2014). Similarly, Gyapong et al. (2016) document that the presence of only one ethnic minority director is positively associated with Tobin's Q, while Moscariello et al. (2019) find that firm value is improved in the presence of a small number of independent directors appointed by minority shareholders. These research findings suggest that even the presence of a small number of independent directors on superannuation fund boards can impact fund performance and fees.
4 RESEARCH DESIGN AND SAMPLE SELECTION
4.1 Regression model
EXCESS ROA is measured as the difference between a superannuation fund's ROA and the median ROA for each year.18 EXCESS TOTAL EXPENSE RATIO is calculated as the difference between a superannuation fund's TOTAL EXPENSE RATIO (calculated as total administration, operating and investment expenses divided by total assets) and the median TOTAL EXPENSE RATIO for each year. The dependent variables and all continuous variables are winsorised at the top and bottom 5 percent to reduce problems related to outliers. Models (1) and (2) are estimated using ordinary least squares (OLS) regressions.
We measure BOARD EFFECTIVENESS using the traditional measure of board independence (%IND DIR) and, to test our hypotheses, using an alternative measure of board independence highlighting whether independent directors possess financial expertise (%FINANCIAL_IND DIR) and are non-co-opted by management (%NOT CO-OPTED_IND DIR). We also examine the interaction between %FINANCIAL_IND DIR and %NOT CO-OPTED_IND DIR (%NOT CO-OPTED_FINANCIAL IND DIR). The variable %IND DIR is measured as the total number of independent directors divided by the total number of directors on the board.19 %FINANCIAL_IND DIR is the percentage of independent directors with accounting and financial qualifications on the board. Consistent with Coles et al. (2014), we define %NOT CO-OPTED_IND DIR as the ratio of the number of non-co-opted independent directors, meaning those appointed before the CEO assumes office, to board size.
To capture directors' competence and ability to advise fund managers, this study focuses on the financial expertise and superannuation fund industry experience of board members. Although neither the SIS Act 1993 nor the APRA Prudential Standards require directors to have a financial qualification, prior studies suggest that directors who have accounting and financial expertise improve firm value (Davidson et al., 2004; DeFond et al., 2005). It is conjectured that these directors use their financial skills and expertise to achieve better outcomes for members of superannuation funds. Thus, the presence of directors with financial qualifications suggests better governance practices. The measure %FINANCIAL is included as a control variable and is measured as the percentage of directors with financial expertise, including accounting and finance qualifications on the board.20 Moreover, directors do not always act in the best interest of shareholders as they may assign their loyalty and allegiance to the CEO who recruited them (Coles et al., 2014). Therefore, directors are expected to be better monitors when they make decisions that are not influenced by management. We control for %NOT CO-OPTED as the percentage of directors who were appointed before the CEO.
As many of the reviews (e.g., the Cooper Review and the Murray Inquiry) have pushed for an independent chair on the board, we include an indicator variable to control for superannuation funds with an independent chairperson (IND CHAIR). Prior studies suggest that female directors provide different perspectives and a greater level of discussion in decision-making processes (Gul et al., 2011; Srinidhi et al., 2011).21 We include %FEMALE DIR measured as the percentage of female directors on the board. Directors who hold multiple outside directorships may lack time and effort to perform their responsibilities and duties well (Ferris et al., 2003; Fich & Shivdasani, 2006; Schnake et al., 2005). In contrast, it is also possible that busy directors have expertise in decision making gained from experience in multiple directorships (Fama & Jensen, 1983; Ferris et al., 2003). We measure %BUSY DIR as the total number of outside directorships on ASX-listed companies held by directors divided by the total number of directors on the board.
Prior studies also suggest that directors with related industry experience provide better advice to the board and are associated with higher firm value (Dass et al., 2014; Faleye et al., 2018). Due to the complexity of the superannuation fund industry, directors who have prior superannuation industry experience should promote better superannuation fund outcomes. We measure %EXPERIENCE as the percentage of directors with prior superannuation fund experience on the board.22 Arguably, a long tenure may diminish a director's independence, and monitoring and advising capacity; consequently, long tenure is expected to have a detrimental effect on firm outcomes (Bhagat & Black, 2002; Vafeas, 2003) and directors with a shorter tenure are expected to have better governance practices. TENURE is measured as the total number of years directors have been employed by the fund divided by the total number of directors on the board. We also control for board size. Larger boards provide less effective monitoring and efficient decision making due to poor communication and difficulty in making decisions from various perspectives (Lipton & Lorsch, 1992; Yermack, 1996). A number of studies provide evidence that smaller boards are associated with better firm value (Yermack, 1996) and lower fund fees (Tufano & Sevick, 1997). Board size (BSIZE) is defined as the total number of directors on the board.
Following prior literature, we include five control variables to capture underlying fund characteristics (Liu, 2014; Liu & Ooi, 2016; 2019; Nguyen et al., 2012; Nisbet, 2013; Tan & Cam, 2015). First, the natural logarithm of total assets (LnTA) is included to control for fund size, as large superannuation funds may benefit from diversified investments through a wide range of asset classes and lower operating costs that are dispersed among larger assets (Cummings, 2016). Second, the natural logarithm of investment options (LnINV OPTIONS) is applied as a proxy for investment complexity. Third, preservation age is included as a control (PRS AGE) as members are more inclined to have a conservative investment portfolio to manage the liquidity issue of benefit payments when they are reaching retirement (Cummings & Ellis, 2015).23 We include %PRS AGE measured as the percentage of members who are aged 50 or over.24 We also control for the percentage of assets under management which are respectively invested in default funds (%DEFAULT FUND), and for fund asset allocation by including variables for the percentage of assets allocated to cash (%CASH) and equity (%EQUITY). Year fixed-effects are included in all models.
4.2 Sample selection
This study focuses on the period 2010–2020. Financial data is obtained from the APRA Annual Fund-level Superannuation Statistics Back Series and the APRA Superannuation Fund-level Profiles and Financial Performance statistics. All governance characteristics, except BUSY DIR (which is calculated from data available from the Connect 4 Boardroom database), are hand collected from annual reports, superannuation fund websites and relevant documents (disclosed under s29QB of the SIS Act 1993).
This search identified an initial sample of 2614 fund years. As this study examines industry superannuation funds, 609 observations of corporate and public sector funds and 701 observations of retail funds are excluded. We also exclude 66 defined benefit funds. A further 863 observations are removed from the sample due to missing financial (223 observations) and governance (640 observations) information.25 The final sample consists of 375 industry fund-year observations for 36 unique industry funds. A summary of the sample selection process is presented in Table 1.
Fund level | |
---|---|
Initial sample from APRA Statistics Annual Fund-level Superannuation Statistics back series (2010–2020) | 2614 |
Less: Corporate and public sector funds | −609 |
Less: Defined benefit funds | −66 |
Less: Missing financial data | −223 |
Less: Missing governance data | −640 |
Less: Retail funds | −701 |
Final sample of industry funds | 375 |
- Data source: all governance data is hand collected and financial data is from APRA statistics (APRA, 2021a).
5 RESULTS
5.1 Descriptive statistics
Table 2 provides descriptive statistics for the variables included in Models (1) and (2). Panel A of Table 2 reveals that the mean (median) ROA is 6.28 percent (7.24 percent) and EXCESS ROA is 0.54 percent (0.63 percent) for industry funds. The mean (median) TOTAL EXPENSE RATIO is 0.77 percent (0.68 percent), while the mean operating, and investment expense ratios are 0.48 percent and 0.28 percent, respectively. On average, industry fund boards comprise 10.4 percent independent directors (%IND DIR) which is similar to the sample in Tan and Cam (2015). The proportion of independent directors with financial expertise is 5.3 percent (%FINANCIAL_IND DIR), while 41.6 percent of all types of directors possess financial expertise (%FINANCIAL). Only 4.8 percent (%NOT CO-OPTED_IND DIR) of independent directors are not co-opted by the CEO. We find that 36.5 percent of the superannuation funds have an independent chair (IND CHAIR). Among the other descriptive statistics, we find that the average board size (BSIZE) is 9.26 directors, 24.7 percent of each board are female (%FEMALE DIR) and 18.8 percent of directors are defined as busy (%BUSY DIR). For industry funds the mean percentage of assets invested in cash (%CASH) and equity (%EQUITY) is 10 percent and 51.5 percent, respectively.
Panel A: Descriptive statistics for industry and retail superannuation funds | |||||||||
---|---|---|---|---|---|---|---|---|---|
Industry funds (N = 375) | Retail funds (N = 701) | ||||||||
No. of unique funds | Mean | Median | Std. | No. of unique funds | Mean | Median | Std. | Stat diff. | |
Dependent variables | |||||||||
ROA | 36 | 6.275 | 7.236 | 3.798 | 102 | 5.175 | 5.804 | 4.018 | 1.100*** |
EXCESS ROA | 36 | 0.541 | 0.634 | 1.236 | 102 | –0.684 | –0.272 | 2.191 | 1.226*** |
OPERATING EXPENSE RATIO | 36 | 0.480 | 0.410 | 0.311 | 102 | 0.843 | 0.742 | 0.612 | –0.363*** |
INVESTMENT EXPENSE RATIO | 36 | 0.284 | 0.300 | 0.157 | 102 | 0.116 | 0.006 | 0.207 | 0.169*** |
TOTAL EXPENSE RATIO | 36 | 0.765 | 0.679 | 0.315 | 102 | 0.980 | 0.873 | 0.647 | –0.215*** |
EXCESS TOTAL EXPENSE RATIO | 36 | –0.005 | –0.057 | 0.295 | 102 | 0.206 | 0.096 | 0.634 | –0.211*** |
Board effectiveness | |||||||||
%IND DIR | 36 | 0.104 | 0.100 | 0.105 | 102 | 0.553 | 0.600 | 0.333 | –0.449*** |
IND DIR (≥1) | 36 | 0.632 | 1.000 | 0.483 | 102 | 0.817 | 1.000 | 0.387 | –0.185*** |
%FINANCIAL_IND DIR | 36 | 0.053 | 0.000 | 0.086 | 102 | 0.264 | 0.200 | 0.236 | –0.211*** |
FINANCIAL_IND DIR (≥1) | 36 | 0.355 | 0.000 | 0.479 | 102 | 0.663 | 1.000 | 0.473 | –0.309*** |
%NOT CO-OPTED_IND DIR | 36 | 0.048 | 0.000 | 0.079 | 102 | 0.311 | 0.250 | 0.306 | –0.263*** |
NOT CO-OPTED_IND DIR (≥1) | 36 | 0.331 | 0.000 | 0.471 | 102 | 0.612 | 1.000 | 0.488 | –0.281*** |
%NOT CO-OPTED_FINANCIAL IND DIR | 36 | 0.018 | 0.000 | 0.045 | 102 | 0.142 | 0.000 | 0.212 | –0.124*** |
NOT CO-OPTED_FINANCIAL IND DIR (≥1) | 36 | 0.152 | 0.000 | 0.360 | 102 | 0.387 | 0.000 | 0.487 | –0.235*** |
Control variables | |||||||||
%FINANCIAL | 36 | 0.416 | 0.400 | 0.223 | 102 | 0.383 | 0.333 | 0.274 | 0.034** |
FINANCIAL DIR (≥1) | 36 | 0.944 | 1.000 | 0.230 | 102 | 0.854 | 1.000 | 0.353 | 0.090*** |
%NOT CO-OPTED | 36 | 0.515 | 0.500 | 0.323 | 102 | 0.574 | 0.500 | 0.329 | –0.059*** |
IND CHAIR | 36 | 0.365 | 0.000 | 0.482 | 102 | 0.710 | 1.000 | 0.454 | –0.345*** |
%FEMALE DIR | 36 | 0.247 | 0.250 | 0.166 | 102 | 0.313 | 0.286 | 0.219 | –0.066*** |
FEMALE DIR (≥1) | 36 | 0.837 | 1.000 | 0.370 | 102 | 0.789 | 1.000 | 0.408 | 0.048* |
%BUSY DIR | 36 | 0.188 | 0.111 | 0.235 | 102 | 0.686 | 0.333 | 0.972 | –0.498*** |
BUSY DIR (≥1) | 36 | 0.587 | 1.000 | 0.493 | 102 | 0.673 | 1.000 | 0.469 | –0.087*** |
%EXPERIENCE | 36 | 0.229 | 0.100 | 0.295 | 102 | 0.299 | 0.200 | 0.315 | –0.070*** |
EXPERIENCE (≥1) | 36 | 0.520 | 1.000 | 0.500 | 102 | 0.615 | 1.000 | 0.487 | –0.095*** |
TENURE | 36 | 6.650 | 6.300 | 2.440 | 102 | 4.529 | 4.333 | 2.036 | 2.121*** |
BSIZE | 36 | 9.264 | 9.000 | 2.044 | 102 | 5.351 | 5.000 | 1.153 | 3.913*** |
TA ($ million) | 36 | 10,915.3 | 4,718.9 | 15,476.5 | 102 | 5,752.5 | 918.3 | 12,276.7 | 5,162.8*** |
LnTA | 36 | 8.505 | 8.460 | 1.274 | 102 | 6.883 | 6.824 | 1.977 | 1.623*** |
INV OPTIONS | 36 | 15.6 | 12.0 | 10.0 | 102 | 361.9 | 52.0 | 583.2 | –346.3*** |
LnINV OPTIONS | 36 | 2.623 | 2.565 | 0.632 | 102 | 4.112 | 3.970 | 2.196 | –1.489*** |
%PRS AGE | 36 | 0.267 | 0.259 | 0.098 | 102 | 0.474 | 0.398 | 0.266 | –0.207*** |
%DEFAULT FUND | 36 | 0.689 | 0.745 | 0.199 | 102 | 0.221 | 0.050 | 0.319 | 0.468*** |
%CASH | 36 | 0.100 | 0.100 | 0.054 | 102 | 0.203 | 0.150 | 0.220 | –0.103*** |
%EQUITY | 36 | 0.515 | 0.520 | 0.058 | 102 | 0.446 | 0.500 | 0.186 | 0.069*** |
Panel B: Distribution of board size of industry superannuation funds | ||
---|---|---|
Board size | Freq. | Percent |
5 | 12 | 3.20 |
6 | 43 | 11.47 |
7 | 23 | 6.13 |
8 | 37 | 9.87 |
9 | 88 | 23.47 |
10 | 59 | 15.73 |
11 | 34 | 9.07 |
12 | 42 | 11.20 |
13 or more | 37 | 9.87 |
Total | 375 | 100 |
Panel C: Distribution of not co-opted, financial and independent directors in industry superannuation funds at the fund-level | ||||||||
---|---|---|---|---|---|---|---|---|
Number of directors | (1) Total number of independent directors on the board | (2) Total number of independent directors with financial expertise on the board | (3) Total number of not co-opted independent directors on the board | (4) Total number of not co-opted independent directors with financial expertise on the board | ||||
Freq. | Percent | Freq. | Percent | Freq. | Per cent | Freq. | Per cent | |
0 | 138 | 36.80 | 242 | 64.53 | 251 | 66.93 | 318 | 84.80 |
1 | 145 | 38.67 | 90 | 24.00 | 92 | 24.53 | 49 | 13.07 |
2 | 43 | 11.47 | 29 | 7.73 | 22 | 5.87 | 7 | 1.87 |
3 | 43 | 11.47 | 13 | 3.47 | 9 | 2.40 | 1 | 0.27 |
4 or more | 6 | 1.59 | 1 | 0.27 | 1 | 0.27 | 0 | 0.00 |
Total | 375 | 100 | 375 | 100 | 375 | 100 | 375 | 100 |
Panel D: Distribution of not co-opted, financial and independent directors in industry superannuation funds at the director-level | ||||
---|---|---|---|---|
Total number of directors at director level (N = 3578) | Total number of unique directors (N = 800) | |||
Freq. | Percent | Freq. | Percent | |
% Of independent directors | 396 | 11.07 | 89 | 11.12 |
% Of financial & independent directors | 191 | 5.34 | 40 | 5.00 |
% Of not co-opted & independent directors | 167 | 4.67 | 46 | 5.75 |
% Of not co-opted, financial & independent directors | 66 | 1.84 | 21 | 2.62 |
Panel E: Descriptive statistics for industry MySuper funds | ||||||
---|---|---|---|---|---|---|
MySuper | N | Mean | Median | Std. | Min | Max |
MySuper ROA | 240 | 5.959 | 6.914 | 3.677 | –4.739 | 11.725 |
MySuper EXCESS ROA | 240 | 0.374 | 0.500 | 1.644 | –6.029 | 3.742 |
MySuper TOTAL EXPENSE RATIO | 240 | 0.714 | 0.673 | 0.242 | 0.226 | 1.581 |
MySuper EXCESS TOTAL EXPENSE RATIO | 240 | 0.113 | 0.073 | 0.240 | –0.328 | 1.000 |
MySuper LnTA | 240 | 8.261 | 8.203 | 1.269 | 4.862 | 10.717 |
MySuper %PRS AGE | 240 | 0.157 | 0.156 | 0.053 | 0.053 | 0.290 |
MySuper MEMBER ACC | 240 | 11.343 | 11.280 | 1.332 | 6.869 | 13.843 |
- Note: This table presents descriptive statistics for all variables included in the regression models. The last column presents a test of statistical difference between the mean values for retail and industry funds. ***, ** and *Statistical significance at 1%, 5% and 10%, respectively. All variables are defined in Appendix 1.
Panel B of Table 2 presents additional detail on the distribution of board size across industry funds. The most common board size is nine directors for 23.47 percent of funds, followed by 10 directors for 15.73 percent of funds. In Panel C of Table 2 we provide additional information on the distribution of independent, financial and non-co-opted directors at the fund level. The descriptive evidence indicates that 36.80 percent of boards have no independent directors, while 38.67 percent have one independent director and 24.53 percent have two or more independent directors. The data also indicate that 64.53 percent of boards have no independent directors with financial expertise. In contrast, 24 percent and 11.47 percent of boards have one, or two or more, independent directors with financial expertise, respectively. Turning to non-co-opted independent directors, 66.93 percent of boards have zero independent directors that are non-co-opted. In turn, 24.53 percent of boards have one non-co-opted independent director, while 8.54 percent of boards have two or more non-co-opted directors.
In Panel D of Table 2 we provide additional statistics on the sample at the director level. These statistics indicate that 11.12 percent of directors in our sample consisting of 89 unique directors are classified as independent. In terms of independent directors with financial expertise (non-co-opted), this comprises 5.34 percent (4.67 percent) of directors in the sample and 40 (46) unique directors. These data highlight that within the sample there are a sufficient number of independent directors with financial expertise and independent directors that are not co-opted to undertake formal empirical testing. Finally, there are 21 (2.62 percent) unique directors who are both independent, non-co-opted and possess financial expertise.
5.2 The effect of board effectiveness on performance and fees of industry superannuation funds
Table 3 presents the results of the effect of board effectiveness on excess return on assets (EXCESS ROA).26 In column (1) of Table 3 we find that the traditional measure of board independence (%IND DIR) is not associated with superannuation fund performance. Similarly, there is no association between fund performance and independent directors' financial expertise (column 2). The results in column (3) indicate that the appointment of non-co-opted independent directors (%NOT CO-OPTED_IND DIR) to the board is significantly associated (at the 5 percent level) with superannuation fund EXCESS ROA. This finding provides evidence to support H2a.
Variables | (1) | (2) | (3) | (4) |
---|---|---|---|---|
EXCESS ROA | EXCESS ROA | EXCESS ROA | EXCESS ROA | |
%IND DIR | 2.528 | |||
(1.316) | ||||
%FINANCIAL_IND DIR | 1.564 | |||
(0.647) | ||||
%NOT CO-OPTED_IND DIR | 2.922** | |||
(2.057) | ||||
%NOT CO-OPTED_FINANCIAL IND DIR | 0.506 | |||
(0.181) | ||||
%FINANCIAL | 0.196 | –0.006 | 0.098 | 0.092 |
(0.314) | (–0.009) | (0.166) | (0.142) | |
%NOT CO-OPTED | –0.542** | –0.580** | –0.967*** | –0.573 |
(–2.306) | (–2.313) | (–2.984) | (–1.553) | |
IND CHAIR | –0.385 | –0.188 | –0.336 | –0.105 |
(–0.879) | (–0.455) | (–0.940) | (–0.290) | |
%FEMALE DIR | –0.047 | 0.217 | –0.003 | 0.259 |
(–0.063) | (0.296) | (–0.003) | (0.340) | |
%BUSY DIR | 0.677 | 0.754* | 0.710* | 0.721* |
(1.624) | (1.902) | (1.716) | (1.742) | |
%EXPERIENCE | 0.100 | 0.131 | 0.270 | 0.201 |
(0.369) | (0.445) | (1.095) | (0.732) | |
TENURE | –0.009 | –0.011 | 0.005 | –0.009 |
(–0.210) | (–0.241) | (0.111) | (–0.184) | |
BSIZE | –0.132 | –0.130 | –0.099 | –0.114 |
(–1.179) | (–1.093) | (–0.952) | (–1.078) | |
LnTA | –0.113 | –0.026 | –0.259 | –0.032 |
(–0.240) | (–0.054) | (–0.521) | (–0.065) | |
LnINV OPTIONS | –0.170 | –0.225 | –0.142 | –0.209 |
(–0.565) | (–0.766) | (–0.468) | (–0.721) | |
%PRS AGE | 4.441 | 3.610 | 3.892 | 3.616 |
(1.424) | (1.014) | (1.218) | (1.004) | |
%DEFAULT FUND | 3.130*** | 3.088** | 3.134*** | 3.188** |
(2.758) | (2.577) | (2.870) | (2.631) | |
%CASH | –1.570 | –1.472 | –1.466 | –1.525 |
(–0.767) | (–0.719) | (–0.756) | (–0.732) | |
%EQUITY | 4.519* | 4.465* | 5.071** | 4.619* |
(1.925) | (1.855) | (2.061) | (1.850) | |
Constant | –2.338 | –2.558 | –1.416 | –2.870 |
(–0.493) | (–0.527) | (–0.306) | (–0.604) | |
Year FE | Yes | Yes | Yes | Yes |
N | 375 | 375 | 375 | 375 |
Adj R-squared | 0.319 | 0.313 | 0.323 | 0.310 |
- Note: The table presents the results of estimating an OLS regression examining the association between industry superannuation fund excess ROA and board effectiveness. The t-statistics are presented in parentheses. ***, ** and *Statistical significance at 1%, 5% and 10%, respectively. All variables are defined in Appendix 1.
Among the control variables, we find a positive association between the presence of busy directors (except in column 1) and fund performance. This positive association suggests that rather than busyness distracting directors from completing their workload, busy directors draw on their experience to improve returns for members. Moreover, funds with a higher percentage of assets invested in default funds (%DEFAULT FUND) and equity (%EQUITY) also perform better.
Table 4 presents findings on the association between board effectiveness and the EXCESS TOTAL EXPENSE RATIO of industry superannuation funds. The coefficient on %IND DIR in column (1) indicates that there is an insignificant association between the traditional board independence measure and superannuation fund fees. This suggests that despite the recommendations of the Cooper and Murray reviews, industry superannuation fund board independence does not enhance fund performance or reduce fees. When we shift our focus to director co-option, we find a significant negative association (at the 5 percent level) between the percentage of non-co-opted independent directors (column 3) and total fees. The effect of independent directors with financial expertise is, however, insignificant (column 2). Similarly, the joint effect of non-co-opted directors with financial expertise (column 4) on fees is also insignificant. Overall, these results provide some support for H2b.
Variables | (1) | (2) | (3) | (4) |
---|---|---|---|---|
EXCESS TOTAL EXPENSE RATIO | EXCESS TOTAL EXPENSE RATIO | EXCESS TOTAL EXPENSE RATIO | EXCESS TOTAL EXPENSE RATIO | |
%IND DIR | –0.294 | |||
(–1.553) | ||||
%FINANCIAL_IND DIR | –0.318 | |||
(–1.429) | ||||
%NOT CO-OPTED_IND DIR | –0.394** | |||
(-2.045) | ||||
%NOT CO-OPTED_FINANCIAL IND DIR | –0.453 | |||
(–1.323) | ||||
%FINANCIAL | –0.024 | 0.010 | –0.012 | 0.007 |
(–0.274) | (0.125) | (–0.143) | (0.079) | |
%NOT CO-OPTED | 0.062 | 0.071* | 0.119** | 0.099* |
(1.560) | (1.811) | (2.477) | (1.952) | |
IND CHAIR | 0.013 | –0.001 | 0.012 | –0.003 |
(0.249) | (–0.012) | (0.241) | (–0.059) | |
%FEMALE DIR | 0.064 | 0.038 | 0.064 | 0.038 |
(0.875) | (0.525) | (0.812) | (0.474) | |
%BUSY DIR | –0.010 | –0.022 | –0.014 | –0.016 |
(–0.104) | (–0.234) | (–0.142) | (–0.173) | |
%EXPERIENCE | 0.105** | 0.108** | 0.085** | 0.098*** |
(2.664) | (2.586) | (2.250) | (2.727) | |
TENURE | 0.003 | 0.003 | 0.001 | 0.002 |
(0.440) | (0.482) | (0.108) | (0.296) | |
BSIZE | –0.004 | –0.003 | –0.008 | –0.007 |
(–0.256) | (–0.183) | (–0.549) | (–0.490) | |
LnTA | –0.267** | –0.278** | –0.246* | –0.276** |
(–2.336) | (–2.512) | (–2.019) | (–2.413) | |
LnINV OPTIONS | 0.040 | 0.048 | 0.036 | 0.046 |
(0.868) | (1.020) | (0.782) | (0.971) | |
%PRS AGE | 0.349 | 0.451 | 0.409 | 0.486 |
(0.524) | (0.663) | (0.600) | (0.707) | |
%DEFAULT FUND | –0.071 | –0.058 | –0.071 | –0.083 |
(–0.363) | (–0.314) | (–0.353) | (–0.439) | |
%CASH | 0.033 | 0.013 | 0.019 | –0.004 |
(0.109) | (0.044) | (0.064) | (–0.014) | |
%EQUITY | –0.115 | –0.098 | –0.188 | –0.153 |
(–0.459) | (–0.376) | (–0.809) | (–0.594) | |
Constant | 2.157** | 2.155** | 2.023* | 2.211** |
(2.167) | (2.255) | (1.956) | (2.246) | |
Year FE | Yes | Yes | Yes | Yes |
N | 375 | 375 | 375 | 375 |
Adj R-squared | 0.839 | 0.840 | 0.841 | 0.839 |
- Note: The table presents the results of estimating an OLS regression examining the association between industry superannuation fund excess total expenses and board effectiveness. The t-statistics are presented in parentheses. ***, ** and *Statistical significance at 1%, 5% and 10%, respectively. All variables are defined in Appendix 1.
Among the control variables we document a negative coefficient on LnTA, indicating that industry superannuation funds with larger assets manage costs across asset-units more efficiently. The results also indicate that fees are higher for funds that are governed by a board with more experienced directors. This finding is potentially explained by more experienced directors commanding higher director fees.
6 ADDITIONAL TESTS AND LIMITATIONS OF THE STUDY
6.1 Endogeneity
This study acknowledges that endogeneity concerns (simultaneity-equation bias and omitted correlated variable bias) could affect the findings (Ferris & Yan, 2007; Wintoki et al., 2012).27 One endogeneity concern arises due to reverse causality. For instance, the current performance and fees of superannuation funds may influence the choice of governance practices and consequently influences future performance and fees (Hermalin & Weisbach, 2003; Wintoki et al., 2012). In other words, superannuation funds with higher performance and lower fees tend to have boards of directors with characteristics aligned with better governance practices, and vice versa.
This study attempts to mitigate the endogeneity concern of reverse causality by estimating OLS regression models using lagged governance and control variables and employing fixed-effects models.28 The results examining the association between governance practices, and EXCESS ROA and EXCESS TOTAL EXPENSE RATIO with lagged variables and fixed-effects for industry funds, are presented in Tables 5 and 6, respectively. Consistent with the main findings, the results in Table 5 show an insignificant association between fund excess performance and the traditional measure of board independence. However, non-co-opted independent directors continue to be positively associated with excess performance. The findings in Table 6 also show that board independence is not associated with lower excess total expense ratio. We find that both financial expertise and a non-co-opted independent board is not statistically associated with the excess total expense ratio.
Variables | (1) | (2) | (3) | (4) |
---|---|---|---|---|
EXCESS ROA | EXCESS ROA | EXCESS ROA | EXCESS ROA | |
Lag_%IND DIR | 2.086 | |||
(1.618) | ||||
Lag_%FINANCIAL_IND DIR | 0.412 | |||
(0.261) | ||||
Lag_%NOT CO-OPTED_IND DIR | 3.720*** | |||
(3.562) | ||||
Lag_%NOT CO-OPTED_FINANCIAL IND DIR | 3.162 | |||
(1.557) | ||||
Lag_%FINANCIAL | 0.282 | 0.174 | 0.256 | 0.077 |
(0.427) | (0.256) | (0.417) | (0.119) | |
Lag_%NOT CO-OPTED | −0.205 | −0.252 | −0.651 | −0.424 |
(−0.520) | (−0.637) | (−1.667) | (−0.978) | |
Lag_IND CHAIR | −0.224 | −0.007 | −0.261 | −0.110 |
(−0.702) | (−0.023) | (−0.977) | (−0.406) | |
Lag_%FEMALE DIR | 0.821 | 1.117 | 0.856 | 1.050 |
(0.866) | (1.216) | (0.945) | (1.168) | |
Lag_%BUSY DIR | 0.773 | 0.826 | 0.802 | 0.829 |
(1.283) | (1.359) | (1.455) | (1.394) | |
Lag_%EXPERIENCE | −0.221 | −0.171 | −0.071 | −0.177 |
(−0.720) | (−0.548) | (−0.250) | (−0.575) | |
Lag_TENURE | 0.008 | 0.009 | 0.031 | 0.011 |
(0.143) | (0.156) | (0.561) | (0.201) | |
Lag_BSIZE | −0.037 | −0.030 | 0.003 | −0.013 |
(−0.255) | (−0.203) | (0.019) | (−0.096) | |
Lag_LnTA | −0.452 | −0.356 | −0.697 | −0.396 |
(−0.657) | (−0.527) | (−0.999) | (−0.579) | |
Lag_LnINV OPTIONS | −0.274 | −0.305 | −0.234 | −0.311 |
(−0.971) | (−1.084) | (−0.813) | (−1.111) | |
Lag_%PRS AGE | 7.862 | 7.166 | 7.538 | 6.988 |
(1.565) | (1.384) | (1.565) | (1.363) | |
Lag_%DEFAULT FUND | 0.818 | 0.822 | 0.698 | 0.887 |
(1.005) | (0.980) | (0.882) | (1.041) | |
Lag_%CASH | −1.221 | −1.230 | −1.071 | −0.939 |
(−0.576) | (−0.597) | (−0.530) | (−0.453) | |
Lag_%EQUITY | 3.462* | 3.496* | 4.224** | 3.843* |
(1.827) | (1.818) | (2.412) | (1.961) | |
Constant | 0.730 | 0.177 | 2.191 | 0.311 |
(0.128) | (0.031) | (0.379) | (0.055) | |
Year FE | Yes | Yes | Yes | Yes |
N | 337 | 337 | 337 | 337 |
Adj R-squared | 0.249 | 0.243 | 0.262 | 0.248 |
- Note: The table presents the results of estimating an OLS regression examining the association between industry superannuation fund excess ROA and board effectiveness using lagged governance variables. The t-statistics are presented in parentheses. ***, ** and *Statistical significance at 1%, 5% and 10%, respectively. All variables are defined in Appendix 1.
Variables | (1) | (2) | (3) | (4) |
---|---|---|---|---|
EXCESS TOTAL EXPENSE RATIO | EXCESS TOTAL EXPENSE RATIO | EXCESS TOTAL EXPENSE RATIO | EXCESS TOTAL EXPENSE RATIO | |
Lag_%IND DIR | –0.233 | |||
(−1.457) | ||||
Lag_%FINANCIAL_IND DIR | –0.269 | |||
(–1.116) | ||||
Lag_%NOT CO-OPTED_IND DIR | –0.180 | |||
(–0.963) | ||||
Lag_%NOT CO-OPTED_FINANCIAL IND DIR | –0.159 | |||
(–0.630) | ||||
Lag_%FINANCIAL | 0.018 | 0.050 | 0.024 | 0.033 |
(0.211) | (0.609) | (0.275) | (0.378) | |
Lag_%NOT CO-OPTED | 0.041 | 0.053 | 0.065* | 0.055 |
(1.252) | (1.482) | (1.830) | (1.560) | |
Lag_IND CHAIR | 0.040 | 0.034 | 0.026 | 0.019 |
(0.722) | (0.598) | (0.475) | (0.358) | |
Lag_%FEMALE DIR | 0.060 | 0.043 | 0.038 | 0.029 |
(0.573) | (0.461) | (0.372) | (0.290) | |
Lag_%BUSY DIR | –0.001 | –0.012 | –0.006 | –0.007 |
(–0.015) | (–0.123) | (–0.056) | (–0.069) | |
Lag_%EXPERIENCE | 0.046 | 0.051 | 0.035 | 0.040 |
(1.375) | (1.461) | (1.037) | (1.225) | |
Lag_TENURE | 0.016*** | 0.016*** | 0.014** | 0.015*** |
(2.873) | (3.023) | (2.669) | (2.833) | |
Lag_BSIZE | –0.003 | –0.002 | –0.005 | –0.005 |
(–0.174) | (–0.099) | (–0.334) | (–0.293) | |
Lag_LnTA | –0.195 | –0.206* | –0.189 | –0.203 |
(–1.635) | (–1.779) | (–1.471) | (–1.667) | |
Lag_LnINV OPTIONS | 0.044 | 0.050 | 0.044 | 0.048 |
(1.129) | (1.286) | (1.124) | (1.227) | |
Lag_%PRS AGE | 0.234 | 0.317 | 0.293 | 0.320 |
(0.349) | (0.471) | (0.422) | (0.467) | |
Lag_%DEFAULT FUND | –0.309** | –0.303** | –0.304** | –0.313** |
(–2.197) | (–2.255) | (–2.130) | (–2.296) | |
Lag_%CASH | 0.232 | 0.219 | 0.227 | 0.220 |
(0.800) | (0.755) | (0.776) | (0.757) | |
Lag_%EQUITY | –0.061 | –0.052 | –0.102 | –0.084 |
(–0.328) | (–0.269) | (–0.554) | (–0.434) | |
Constant | 1.566* | 1.584* | 1.536 | 1.626* |
(1.749) | (1.856) | (1.608) | (1.775) | |
Year FE | Yes | Yes | Yes | Yes |
N | 337 | 337 | 337 | 337 |
Adj R-squared | 0.842 | 0.842 | 0.841 | 0.841 |
- Note: The table presents the results of estimating an OLS regression examining the association between industry superannuation fund excess total expenses and board effectiveness using lagged governance variables. The t-statistics are presented in parentheses. ***, ** and *Statistical significance at 1%, 5% and 10%, respectively. All variables are defined in Appendix 1.
Another endogeneity problem arises due to omitted correlated variable bias, where some other factors may drive both the outcome and the explanatory variable. Some prior studies have used instrumental variables and two-stage least squares (2SLS) regression to address this problem of endogeneity (Larcker & Rusticus, 2010). However, Larcker and Rusticus (2010) argue that weak instrumental variables provide estimates that are more biased and are likely to provide wrong statistical inference than OLS estimates (Larcker et al., 2007; Larcker & Rusticus, 2010). This study does not perform a 2SLS regression as it is unable to identify an instrumental variable that explains governance practices that does not determine superannuation fund performance and fees.
6.2 Governance effectiveness in retail funds
Industry superannuation funds differ from other superannuation funds, especially retail funds. For instance, industry funds operate on a not-for-profit basis where all profits are returned to members, whereas retail funds operate to generate profits for the company's shareholders. Moreover, industry funds have an equal representation of member and employer representatives on the board (equal representation model) who are typically appointed by trade unions and employer associations (i.e., third parties). In contrast, the directors of retail funds are appointed by the company. In addition to differences in board composition, the age profile of industry and retail funds is different, with 43 percent (23 percent) of industry fund members being under 35 years old, and 19 percent (33 percent) of industry (retail) members being over 55 in 2021 (APRA, 2021b). This allows industry superannuation funds to invest in longer-term assets such as unlisted assets.
As an additional test we examine the effect of governance practices on the performance and fees of 701 retail superannuation funds, using hand collected data from retail fund annual reports. Descriptive statistics for retail funds are presented in Panel A of Table 2, along with a statistical comparison of the mean value between industry and retail funds. The data show that retail funds have significantly higher fees and lower performance than industry funds. In terms of director characteristics, we find that retail funds have a significantly greater proportion of independent directors than industry funds. Additionally, retail funds have significantly more independent directors that are non-co-opted and possess financial expertise. Other notable differences between retail and industry funds are that retail funds have more female and more busy directors, are smaller in size, and offer more investment options to their members. Retail funds also have less investments in default funds, and a greater (lower) proportion of assets allocated to cash (equity) compared to industry funds.
Table 7 presents the results of estimating the regression model testing the effect of board effectiveness on the excess ROA for retail funds. The results show that none of the coefficients on board effectiveness are significant, suggesting that there is no association between fund performance and independent directors, independent directors with financial expertise and non-co-opted independent directors. Among the control variables, we find that retail fund performance is positively associated with the percentage of assets allocated to equity. There is also evidence that when the directors on the board are busy, hence distracted, fund performance is lower.
Variables | (1) | (2) | (3) | (4) |
---|---|---|---|---|
EXCESS ROA | EXCESS ROA | EXCESS ROA | EXCESS ROA | |
%IND DIR | –0.154 | |||
(–0.250) | ||||
%FINANCIAL_IND DIR | 0.847 | |||
(0.851) | ||||
%NOT CO-OPTED_IND DIR | –1.042 | |||
(–1.343) | ||||
%NOT CO-OPTED_FINANCIAL IND DIR | –0.691 | |||
(–0.598) | ||||
%FINANCIAL | –0.028 | –0.509 | 0.053 | 0.171 |
(–0.042) | (–0.528) | (0.077) | (0.223) | |
%NOT CO-OPTED | –0.216 | –0.227 | 0.530 | 0.025 |
(–0.519) | (–0.553) | (0.821) | (0.038) | |
IND CHAIR | –0.172 | –0.383 | –0.045 | –0.214 |
(–0.477) | (–1.138) | (–0.148) | (–0.736) | |
%FEMALE DIR | 1.109 | 0.997 | 1.077 | 1.084 |
(1.565) | (1.408) | (1.562) | (1.558) | |
%BUSY DIR | –0.286* | –0.289** | –0.307** | –0.290** |
(–1.965) | (–1.990) | (–2.120) | (–2.015) | |
%EXPERIENCE | –0.130 | –0.127 | –0.094 | –0.106 |
(–0.275) | (–0.273) | (–0.202) | (–0.236) | |
TENURE | 0.061 | 0.055 | 0.039 | 0.058 |
(0.826) | (0.757) | (0.549) | (0.801) | |
BSIZE | 0.091 | 0.102 | 0.091 | 0.079 |
(0.771) | (0.885) | (0.771) | (0.673) | |
LnTA | 0.083 | 0.081 | 0.079 | 0.084 |
(1.064) | (1.041) | (1.023) | (1.072) | |
LnINV OPTIONS | 0.073 | 0.074 | 0.077 | 0.073 |
(1.242) | (1.268) | (1.309) | (1.240) | |
%PRS AGE | –0.079 | –0.090 | –0.102 | –0.072 |
(–0.131) | (–0.148) | (–0.167) | (–0.117) | |
%DEFAULT FUND | –0.314 | –0.290 | –0.331 | –0.334 |
(–0.677) | (–0.629) | (–0.716) | (–0.716) | |
%CASH | –0.090 | –0.159 | –0.189 | –0.098 |
(–0.118) | (–0.205) | (–0.247) | (–0.129) | |
%EQUITY | 3.138*** | 3.041*** | 3.037*** | 3.121*** |
(3.794) | (3.555) | (3.593) | (3.765) | |
Constant | –3.355*** | –3.266*** | –3.468*** | –3.445*** |
(–2.921) | (–2.749) | (–3.046) | (–2.924) | |
Year FE | Yes | Yes | Yes | Yes |
N | 701 | 701 | 701 | 701 |
Adj R-squared | 0.183 | 0.184 | 0.185 | 0.183 |
- Note: The table presents the results of estimating an OLS regression examining the association between excess ROA and board effectiveness in retail superannuation fund. The t-statistics are presented in parentheses. ***, ** and *Statistical significance at 1%, 5% and 10%, respectively. All variables are defined in Appendix 1.
The results testing the influence of board effectiveness in retail funds on excess total expenses are presented in Table 8. We do not find any association between board effectiveness and total operating expenses, irrespective of whether the independent directors possess financial expertise or are not co-opted. Among the control variables, there is a significant positive association between excess total expense ratio and board financial expertise. We also document that larger retail funds charge lower fees.
Variables | (1) | (2) | (3) | (4) |
---|---|---|---|---|
EXCESS TOTAL EXPENSE RATIO | EXCESS TOTAL EXPENSE RATIO | EXCESS TOTAL EXPENSE RATIO | EXCESS TOTAL EXPENSE RATIO | |
%IND DIR | 0.052 | |||
(0.423) | ||||
%FINANCIAL_IND DIR | 0.223 | |||
(0.991) | ||||
%NOT CO-OPTED_IND DIR | −0.127 | |||
(−0.564) | ||||
%NOT CO-OPTED_FINANCIAL IND DIR | −0.035 | |||
(−0.127) | ||||
%FINANCIAL | 0.307* | 0.180 | 0.316* | 0.317 |
(1.909) | (0.826) | (1.943) | (1.599) | |
%NOT CO-OPTED | −0.015 | −0.009 | 0.083 | 0.003 |
(−0.203) | (−0.132) | (0.453) | (0.024) | |
IND CHAIR | 0.078 | 0.059 | 0.121 | 0.099 |
(0.717) | (0.557) | (1.023) | (0.966) | |
%FEMALE DIR | −0.129 | −0.148 | −0.125 | −0.123 |
(−0.890) | (−1.010) | (−0.862) | (−0.855) | |
%BUSY DIR | 0.010 | 0.011 | 0.009 | 0.011 |
(0.210) | (0.225) | (0.185) | (0.225) | |
%EXPERIENCE | 0.098 | 0.104 | 0.106 | 0.102 |
(0.984) | (1.028) | (1.062) | (1.011) | |
TENURE | 0.024 | 0.022 | 0.021 | 0.023 |
(1.375) | (1.241) | (1.258) | (1.363) | |
BSIZE | −0.039 | −0.035 | −0.038 | −0.039 |
(−1.352) | (−1.254) | (−1.343) | (−1.274) | |
LnTA | −0.130*** | −0.130*** | −0.130*** | −0.130*** |
(−3.724) | (−3.735) | (−3.751) | (−3.724) | |
LnINV OPTIONS | 0.012 | 0.012 | 0.012 | 0.012 |
(0.388) | (0.404) | (0.411) | (0.389) | |
%PRS AGE | −0.473* | −0.477* | −0.477* | −0.474* |
(−1.767) | (−1.790) | (−1.794) | (−1.769) | |
%DEFAULT FUND | −0.188 | −0.183 | −0.191 | −0.190 |
(−1.342) | (−1.309) | (−1.369) | (−1.335) | |
%CASH | −0.259 | −0.277 | −0.271 | −0.259 |
(−1.012) | (−1.048) | (−1.041) | (−1.017) | |
%EQUITY | −0.364 | −0.384 | −0.372 | −0.361 |
(−0.888) | (−0.912) | (−0.897) | (−0.884) | |
Constant | 1.444*** | 1.481*** | 1.440*** | 1.448*** |
(3.718) | (3.720) | (3.738) | (3.666) | |
Year FE | Yes | Yes | Yes | Yes |
N | 701 | 701 | 701 | 701 |
Adj R-squared | 0.471 | 0.472 | 0.472 | 0.471 |
- Note: The table presents the results of estimating an OLS regression examining the association between excess total expenses and board effectiveness in retail superannuation fund. The t-statistics are presented in parentheses. ***, ** and *Statistical significance at 1%, 5% and 10%, respectively. All variables are defined in Appendix 1.
6.3 MySuper
We next examine the effect of governance practices on performance and fees of industry superannuation funds using ‘MySuper’ products. MySuper products are designed and formulated by the fund as the default investment option for members. MySuper provides an opportunity to analyse a relatively consistent set of products that are not impacted by member choice of investment option.29 MySuper was introduced on 1 January 2014 to provide a simple, cost-effective and balanced default investment product with a single diversified investment strategy.30 Although MySuper products have common characteristics (as set out in s29TC of the SIS Act 1993), the proportion of assets allocated to growth and defensive assets, and asset classes, are dissimilar.31 These differences in the proportion of asset allocations and asset classes have led to variation in the performance of MySuper funds. Panel E of Table 2 shows that the standard deviation of the MySuper EXCESS ROA (1.64 percent) is greater than that for other industry funds (1.24 percent). In contrast to the variation in asset allocations and performance, MySuper members are charged a standardised operating fee – at the same flat fee and same percentage of account balance – in accordance with the s29VA of the SIS Act 1993. This is evident in the smaller standard deviation of the excess total expense ratio of MySuper funds (0.24 percent) compared with other industry funds (0.32 percent).
We estimate our regression models for MySuper funds only; Tables 9 and 10 show the results for fund performance and fees respectively.32 Similar to the main results, Table 9 reveals that there is an insignificant association between independent directors and the performance of MySuper funds. We also find that the percentage of independent directors that are non-co-opted or that possess financial expertise is insignificantly associated with fund performance. In column (4) we find that non-co-opted independent directors with financial expertise are significantly and positively associated with MySuper fund performance. This result highlights the effectiveness of independent directors when they possess financial knowledge and when they are free from conflict of interests when making investment decisions. As this variable is only significant when the sample is restricted to MySuper funds, it is possible that the benefits of advice from directors with financial expertise is greatest when selecting the specific assets and investments to be included in default funds and those which are managed using a lifecycle approach. This result on %NOT CO-OPTED_FINANCIAL IND DIR, however, needs to be interpreted with caution due to the small number of independent directors that possess financial expertise who are non-co-opted in the sample of MySuper funds.
Variables | (1) | (2) | (3) | (4) |
---|---|---|---|---|
MySuper EXCESS ROA | MySuper EXCESS ROA | MySuper EXCESS ROA | MySuper EXCESS ROA | |
%IND DIR | 4.484 | |||
(1.421) | ||||
%FINANCIAL_IND DIR | 4.299 | |||
(1.299) | ||||
%NOT CO-OPTED_IND DIR | 1.390 | |||
(0.530) | ||||
%NOT CO-OPTED_FINANCIAL IND DIR | 6.059* | |||
(2.003) | ||||
%FINANCIAL | –0.139 | –0.500 | –0.372 | –0.625 |
(–0.119) | (–0.441) | (–0.319) | (–0.554) | |
%NOT CO-OPTED | –0.953* | –1.018* | –1.124 | –1.586** |
(–1.846) | (–1.823) | (–1.600) | (–2.464) | |
IND CHAIR | –0.150 | –0.031 | 0.168 | 0.130 |
(–0.159) | (–0.036) | (0.205) | (0.173) | |
%FEMALE DIR | 2.837** | 3.159** | 2.983** | 2.930** |
(2.361) | (2.675) | (2.553) | (2.337) | |
%BUSY DIR | 1.739* | 1.883* | 1.810* | 1.693* |
(1.748) | (1.900) | (1.869) | (1.784) | |
%EXPERIENCE | 0.168 | 0.186 | 0.349 | 0.281 |
(0.323) | (0.362) | (0.692) | (0.550) | |
TENURE | 0.088 | 0.092 | 0.084 | 0.097 |
(1.283) | (1.312) | (1.175) | (1.348) | |
BSIZE | –0.245 | –0.227 | –0.171 | –0.156 |
(–1.054) | (–0.940) | (–0.719) | (–0.678) | |
MySuper LnTA | 1.359 | 1.323 | 1.330 | 1.323 |
(1.199) | (1.228) | (1.159) | (1.167) | |
MySuper %PRS AGE | –16.608 | –18.744 | –15.838 | –18.457 |
(–1.400) | (–1.506) | (–1.312) | (–1.492) | |
MySuper MEMBER ACC | 0.203 | 0.274* | 0.215 | 0.242* |
(1.473) | (1.763) | (1.499) | (1.695) | |
Constant | –9.965 | –10.032 | –10.212 | –9.924 |
(–1.035) | (–1.103) | (–1.047) | (–1.038) | |
Year FE | Yes | Yes | Yes | Yes |
N | 240 | 240 | 240 | 240 |
Adj R-squared | 0.188 | 0.183 | 0.176 | 0.189 |
- Note: The table presents the results of estimating an OLS regression examining the association between excess ROA and board effectiveness in MySuper funds. The t-statistics are presented in parentheses. ***, ** and *Statistical significance at 1%, 5% and 10%, respectively. All variables are defined in Appendix 1.
Variables | (1) | (2) | (3) | (4) |
---|---|---|---|---|
MySuper EXCESS TOTAL EXPENSE RATIO | MySuper EXCESS TOTAL EXPENSE RATIO | MySuper EXCESS TOTAL EXPENSE RATIO | MySuper EXCESS TOTAL EXPENSE RATIO | |
%IND DIR | 0.091 | |||
(0.380) | ||||
%FINANCIAL_IND DIR | 0.132 | |||
(0.430) | ||||
%NOT CO-OPTED_IND DIR | –0.342* | |||
(–1.980) | ||||
%NOT CO-OPTED_FINANCIAL IND DIR | –0.312 | |||
(–1.032) | ||||
%FINANCIAL | 0.133 | 0.124 | 0.138 | 0.144 |
(1.163) | (1.110) | (1.196) | (1.230) | |
%NOT CO-OPTED | 0.086** | 0.083* | 0.146*** | 0.123** |
(2.039) | (1.900) | (2.737) | (2.215) | |
IND CHAIR | 0.071 | 0.070 | 0.106 | 0.087 |
(0.845) | (0.832) | (1.315) | (1.164) | |
%FEMALE DIR | 0.089 | 0.096 | 0.124 | 0.103 |
(0.697) | (0.749) | (0.945) | (0.823) | |
%BUSY DIR | 0.033 | 0.037 | 0.035 | 0.041 |
(0.392) | (0.448) | (0.434) | (0.497) | |
%EXPERIENCE | 0.006 | 0.005 | 0.010 | 0.014 |
(0.181) | (0.145) | (0.278) | (0.396) | |
TENURE | 0.002 | 0.003 | 0.001 | 0.001 |
(0.373) | (0.397) | (0.164) | (0.198) | |
BSIZE | –0.008 | –0.009 | –0.008 | –0.008 |
(–0.516) | (–0.528) | (–0.482) | (–0.482) | |
MySuper LnTA | –0.082 | –0.083 | –0.085 | –0.083 |
(–1.008) | (–1.021) | (–1.030) | (–0.995) | |
MySuper %PRS AGE | –0.404 | –0.481 | –0.314 | –0.234 |
(–0.334) | (–0.387) | (–0.261) | (–0.188) | |
MySuper MEMBER ACC | –0.007 | –0.005 | –0.007 | –0.008 |
(–0.483) | (–0.328) | (–0.489) | (–0.562) | |
Constant | 0.819 | 0.820 | 0.809 | 0.798 |
(1.315) | (1.327) | (1.310) | (1.262) | |
Year FE | Yes | Yes | Yes | Yes |
N | 240 | 240 | 240 | 240 |
Adj R-squared | 0.716 | 0.716 | 0.721 | 0.718 |
- Note: The table presents the results of estimating an OLS regression examining the association between excess total expenses and board effectiveness in MySuper funds. The t-statistics are presented in parentheses. ***, ** and *Statistical significance at 1%, 5% and 10%, respectively. All variables are defined in Appendix 1.
Table 10 shows no association between fees of MySuper funds and board independence. Similar to the findings in Table 4, we document that the percentage of directors with financial expertise is not significantly associated with fees (column 2), while having non-co-opted independent directors leads to significantly lower fees (column 3).
6.4 Other tests
To test the robustness of the main findings, alternative raw measures of performance (ROA) and fees (TOTAL EXPENSE RATIO) are used as the dependent variable. The results (untabulated) remain similar to the main findings. Specifically, we continue to find no association between measures of board independence and fund performance and fees. In addition, we continue to find that the percentage of non-co-opted directors are positively associated with fund performance and negatively associated with fees charged by superannuation funds.
Further, as Panel C of Table 2 highlights that 36.8 percent of funds do not have independent directors, we conduct additional analyses to alleviate concerns that the insignificant results on %IND DIR are driven by funds with either zero or only one independent director. First, we re-run our main analyses on funds having at least one independent director. Second, we re-run our main analyses with different measures of independent directors, using an indicator variable for funds with one or more independent directors and an indicator variable for funds with two or more independent directors. We also use a raw measure of the number of independent directors, non-co-opted independent directors and independent directors with financial expertise. The findings from these analyses (untabulated) provide a significant coefficient on the alternative measures of IND DIR, while the coefficients on independent directors who are not co-opted remain consistent with the main results.
We also examine whether a co-opted independent chair and an independent chair with financial expertise are associated with fund outcomes. We do not find that a co-opted independent chair and an independent chair with financial expertise are associated with fund performance. However, we find that a non-co-opted independent chair is negatively associated with fund fees, hence highlighting the value of an independent chair whose decisions are not influenced by management.
6.5 Limitations of the study
The results in this study suggest that director co-option is associated with worse outcomes for superannuation fund members in terms of higher fees and lower performance. In contrast, the findings do not document a statistically significant association between the traditional measure of board independence or independent director financial expertise and superannuation fund performance and fees. While we fail to document a statistically significant result on these two variables, it is acknowledged that the lack of significance on these two variables may be driven by the small sample size used in the study, which results in the tests lacking sufficient power. We leave it to future research to further examine these issues using a larger sample of superannuation funds. Finally, as with most governance research, our findings are subject to endogeneity concerns. While we have attempted to address endogeneity concerns using lagged variables in Tables 5 and 6, it is notable that the significant effect of director co-option on superannuation fund fees is not robust in this additional test.
7 CONCLUSION
Over the last decade the Australian Government has initiated several reviews of Australian superannuation funds that have raised concerns about board structure and governance practices. The recommendation for more independent directors on the board of superannuation funds has been supported by the Australian Senate. Industry superannuation funds have opposed this recommendation claiming that their current governance requirements, which rely on an equal representation of directors and members, is effective as highlighted by their consistent outperformance of their peers. This study examines whether the recommendation for more independent directors on the boards of industry superannuation funds, therefore, is warranted.
Building on the corporate governance literature on board effectiveness, we find that board independence is not sufficient to improve fund outcomes for industry superannuation funds. Instead, we find that to be effective, independent directors also need to be independent of the CEO (i.e., non-co-opted) to exercise decisions that truly benefit fund members. Specifically, we find non-co-opted independent board members are associated with higher fund performance. When independent directors possess financial expertise or are non-co-opted, we find that member fees are lower. Our results suggest, counter to the recommendations of the reviews, that independent director financial expertise is not associated with superannuation fund performance or high member fees.
We conduct a number of additional tests and continue to find that board independence alone does not improve fund outcomes. This finding is critical given the current recommendations to have more independent directors on superannuation fund boards. Our findings suggest that the push to dismantle the current governance model of industry superannuation funds would disrupt the funds without any benefits to its members. Instead of focusing on independence as the sole criterion for board effectiveness, our results indicate that it is imperative to also consider the monitoring and advising capability of directors. Specifically, the focus should be on the independence of directors from management as potentially enhancing board effectiveness in Australian superannuation funds.
ACKNOWLEDGEMENTS
We are sincerely grateful to Zoltan Matolcsy for his significant contribution during the early stage of this project. His insights provided the basis of our project. We also gratefully acknowledge the valuable feedback from the participants at the University of Technology Sydney Research Consortium, particularly Rebecca Bachmann, Victoria Clout, Samir Ghannam, Brett Govendir, Matthew Grosse, Davina Jeganathan, Roman Lanis, Nelson Ma, Yaowen Shan, Stephen Taylor, Jonathan Tyler, Kristina Vojvoda and Peter Wells. We also acknowledge the constructive feedback of the Editor, Geoff Warren and an anonymous reviewer. Open access publishing facilitated by University of Technology Sydney, as part of the Wiley - University of Technology Sydney agreement via the Council of Australian University Librarians.
APPENDIX 1
DEFINITION OF VARIABLES
Variable | Definition |
---|---|
Dependent variables | |
ROA | Return on assets (%), calculated as net earnings after tax divided by total assets |
EXCESS ROA | Excess return on assets (%), calculated as the difference between a superannuation fund's ROA and the median ROA for each year |
OPERATING EXPENSE RATIO | Operating expense ratio (%), calculated as total administration and operating expenses divided by total assets |
INVESTMENT EXPENSE RATIO | Investment expense ratio (%), calculated as total investment expenses divided by total assets |
TOTAL EXPENSE RATIO | Total expense ratio (%), calculated as total administration, operating and investment expenses divided by total assets |
EXCESS TOTAL EXPENSE RATIO | Excess total expense ratio (%), calculated as the difference between the superannuation fund's TOTAL EXPENSE RATIO and the median TOTAL EXPENSE RATIO for each year |
Board effectiveness | |
%IND DIR | The percentage of independent directors on the board |
IND DIR (≥1) | An indicator variable equal to one if a fund has one or more independent directors on the board, zero otherwise |
%FINANCIAL_IND DIR | The percentage of independent directors on the board with accounting and/or financial qualifications |
FINANCIAL_IND DIR (≥1) | An indicator variable equal to one if a fund has one or more financial and independent directors on the board, zero otherwise |
%NOT CO-OPTED_IND DIR | The percentage of independent directors who were appointed before the CEO |
NOT CO-OPTED_IND DIR (≥1) | An indicator variable equal to one if a fund has one or more non-co-opted and independent directors on the board, zero otherwise |
%NOT CO-OPTED_FINANCIAL IND DIR | The percentage of non-co-opted directors on the board who are independent and have accounting and/or financial qualifications |
NOT CO-OPTED_FINANCIAL IND DIR (≥1) | An indicator variable equal to one if a fund has one or more not co-opted, financial and independent directors on the board, zero otherwise |
Control variables | |
%FINANCIAL | The percentage of directors on the board with accounting and financial qualifications |
FINANCIAL DIR (≥1) | An indicator variable equal to one if a fund has one or more financial directors on the board, zero otherwise |
%NOT CO-OPTED | The percentage of directors on the board who were appointed before the CEO |
NOT CO-OPTED (≥1) | An indicator variable equal to one if a fund has one or more not co-opted directors on the board, zero otherwise |
IND CHAIR | An indicator variable equal to one if a fund has an independent chairperson, zero otherwise |
%FEMALE DIR | The percentage of female directors on the board |
FEMALE DIR (≥1) | An indicator variable equal to one if a fund has one or more female directors on the board, zero otherwise |
%BUSY DIR | The average number of outside directorships on ASX-listed companies held by directors |
BUSY DIR (≥1) | An indicator variable equal to one if a fund has one or more directors on the board with one or more outside directorships on ASX-listed companies, zero otherwise |
%EXPERIENCE | The percentage of directors on the board with prior superannuation fund experience |
EXPERIENCE (≥1) | An indicator variable equal to one if a fund has one or more directors on the board with prior superannuation fund experience, zero otherwise |
TENURE | The average director tenure (in years) |
BSIZE | The total number of directors on the board |
TA ($ million) | The total assets at the end of the period ($ million) |
LnTA | The natural logarithm of TA |
INV OPTIONS | The number of investment options |
LnINV OPTIONS | The natural logarithm of INV OPTIONS |
%PRS AGE | The percentage of preservation age members, i.e., members who are equal to or greater than the age of 50 |
%DEFAULT FUND | The percentage of assets invested in default funds (MySuper) |
%CASH | The percentage of assets invested in cash |
%EQUITY | The percentage of assets invested in equity |
Additional test variables | |
MySuper ROA | Net earnings after tax of MySuper funds divided by total assets of MySuper funds |
MySuper EXCESS ROA | The difference between the MySuper fund's ROA and the median MySuper fund ROA for each year |
MySuper TOTAL EXPENSE RATIO | The total administration and operating expenses and investment expenses of MySuper funds divided by total assets of MySuper funds |
MySuper EXCESS TOTAL EXPENSE RATIO | The difference between the MySuper fund's MySuper TOTAL EXPENSE RATIO and the median MySuper TOTAL EXPENSE RATIO for each year |
MySuper LnTA | The natural logarithm of total assets of MySuper funds |
MySuper %PRS AGE | The percentage of preservation age members in MySuper funds |
MySuper MEMBER ACC | The natural logarithm of the total number of member accounts of MySuper funds |
Open Research
DATA AVAILABILITY STATEMENT
The data supporting the findings are available at Annual Fund-level Superannuation Statistics Back Series and the APRA Superannuation Fund-level Profiles and Financial Performance statistics, Connect 4 Boardroom database, and the annual reports and websites of superannuation funds.
REFERENCES
- 1 All figures presented in this paper are in Australian Dollars (AUD) unless indicated otherwise.
- 2 The Cooper Review (Cooper et al., 2010) recommends a minimum of one-third independent directors, whereas the Murray Inquiry (2014) recommends majority independent director representation.
- 3 Other countries including Chile, Israel and Norway, also have a component of the mandatory pension system that is related to their earnings (OECD, 2021).
- 4 As life expectancy of Australians increases, it became concerning to the government that Age Pension payments would become substantial and hugely impact the country's economy. The current contribution rate is 10.5 percent and is legislated to increase to 12 percent by 2025 (s19(2) of the Superannuation Guarantee (Administration) Act 1992 (Cth)).
- 5 There are also self-managed superannuation funds. Although self-managed superannuation funds have the largest asset size ($822 billion as at June 2021), they are not regulated by APRA and are not examined in this study.
- 6 Further to these reviews, recent scandals involving financial institutions, including some Australian superannuation funds charging unwanted fees and fees for-no-service to members, raised concerns about the culture of the Australian financial industry. The Banking Royal Commission (also known as the Hayne Royal Commission) inquired into and reported on misconduct in the financial sector, including the banking, superannuation and financial services industries.
- 7 The ability of independent directors to attend and vote at industry fund board meetings was confirmed by reading through all constitutions of funds included in our sample.
- 8 However, since 2005 beneficiaries can transfer their assets to other superannuation funds and change their asset strategies or change their asset allocations.
- 9 See, for example, Adams and Ferreira (2009), Core et al. (1999), Larcker et al. (2013), Linck et al. (2008), Masulis et al. (2007, 2012), Matolcsy et al. (2004) and Yermack (1996).
- 10 Arnold et al. (2014a, 2014b) and Phillips et al. (2007).
- 11 Bateman et al. (2012) and Brockman and Michayluk (2016).
- 12 Agnew et al. (2012), Bateman et al. (2014) and Parrish and Delpachitra (2012).
- 13 Butt et al. (2015).
- 14 For example, the Australian Institute of Company Directors (AICD) firmly believe that independent directors must be on the board of superannuation funds (http://www.companydirectors.com.au/director-resource-centre/publications/the-boardroom-report/back-volumes/volume-13-2015/volume-13-issue-24/independent-directors-a-must-for-superannuation-funds).
- 15 Interestingly, some studies even suggest that independent directors might not always be in the best interest of shareholders and that in better performing firms it is in the interest of shareholders to have a less independent board (Hermalin & Weisbach, 2003).
- 16 The Cooper Review (Cooper et al., 2010) recommends ongoing training for directors to ensure that the board has the collective skill set needed to perform their responsibilities and duties (Recommendations 2.2 and 2.3). The Productivity Commission recommends strengthening the board of directors by providing prescriptive prudential standards, including a process to assess the performance of directors, and a skills matrix of directors to be maintained (Recommendation 19).
- 17 The APRA Prudential Standard SPS 521 Conflicts of Interest requires Australian superannuation funds to have a conflict management framework where the board of directors identifies, assesses, mitigates, manages and monitors all potential and actual conflicts relating to business operations.
- 18 Return on assets (ROA) is calculated as the percentage of net earnings after tax and expenses divided by total assets. Based on APRA SRS 330.0 Statement of Financial Performance, APRA defines net earnings after tax and expenses as the net of investment income (including investment income and total gains and losses on the investments, such as the changes in the value of investments and foreign exchange gains and losses), all expenses (including investment, administration, operating and advice expenses) and income tax.
- 19 In this study, an independent director is a director who superannuation funds classify as either independent, non-executive or external.
- 20 Director qualifications are backfilled in the sample; that is, the director's qualifications extracted from the annual reports and relevant disclosures indicating financial qualifications from any year are filled for other years throughout the sample. For example, if the 2015 Annual Report discloses information that a director has financial qualifications but there is no disclosure of qualifications for that director in the prior report, then it is assumed that this director has financial qualifications.
- 21 The domestic and international standards, including the ASX Corporate Governance Principles and Recommendations (2014) (Recommendation 1.5) and G20/OECD Principles of Corporate Governance 2015 (Part VI, (E), (4)), advocate the need for board gender diversity. Therefore, a greater proportion of female directors on the board suggests better governance practices.
- 22 Since 1 July 2014, superannuation funds are required to disclose directors' experience either in their annual reports or on their websites (under s29QB of the SIS Act 1993). However, prior to this date, disclosure was voluntary.
- 23 The preservation age is when members can start accessing their retirement benefits.
- 24 Under Regulation 6.01 of the SIS Reg 1994, the preservation age starts from the age of 55 depending on a member's date of birth. However, this study uses the age of 50 instead of the age 55 to calculate %PRS AGE due to data inconsistency, where the member age cohorts are categorised in different age groups from 1 year to another.
- 25 The missing governance information arises due to the lack of availability of annual reports for some superannuation funds that are no longer operating. These superannuation funds discontinued their operations either because they were unable to sustain their operations or merged voluntarily to benefit from greater scale (Rowell, 2017).
- 26 In this study, the excess return on assets (EXCESS ROA) and excess total expense ratio (EXCESS TOTAL EXPENSE RATIO) are used rather than the raw return to measure the performance and fees of superannuation funds. These measures are used to measure fund performance and fees as they are a relative measure in comparison to the overall outcome of superannuation funds. The raw return (ROA) as an alternate measure of performance and the raw total expense ratio (TOTAL EXPENSE RATIO) are examined as an additional test.
- 27 Prior superannuation fund studies (Gupta et al., 2008; Nguyen et al., 2012; Sy, 2008) argue that governance practices do not change rapidly over time; therefore, the issue of endogeneity from the causal association between governance and performance/fees of Australian superannuation funds is minimal.
- 28 Although estimating the regression model using a fixed-effects model reduces unobservable heterogeneity bias, the use of a fixed-effects model is not realistic as the model assumes that current values of independent variables and past values of the dependent variables are independent of each other (Wintoki et al., 2012).
- 29 The choice of investment options by members is an important driver of fund performance and fees by impacting the allocation of members' balances across investment classes.
- 30 Based on APRA MySuper data (as at June 2020), there are 33 MySuper products offered by industry superannuation funds and six of them use a lifecycle strategy. MySuper products using a lifecycle strategy decrease the proportion of growth assets as members age.
- 31 Chant et al. (2014) observe a variation in the asset allocation and the use of numerous asset classes across MySuper balanced funds. Their sample has a higher proportion of assets allocated into growth assets than the typical proportion of 70 percent growth assets (and 30 percent defensive assets). Also, the proportion of growth asset exposure for MySuper products using lifecycle strategy in their study varied across products and age ranges.
- 32 We have examined both balanced and lifecycle MySuper funds to maximise the sample size and the results are presented in Tables 9 and 10. We perform an additional test using balanced MySuper funds only and the untabulated results are similar to the results presented in Tables 9 and 10.