Abstract:Recent studies find evidence that small funds outperform large funds. This fund size effect is commonly hypothesized to be caused by transaction costs. Due to the lack of transactions data, prior studies have investigated the transaction costs theory indirectly. Our study, however, analyses the daily transactions of active Australian equity managers and finds aggregate market impact costs incurred by large managers are significantly greater than those incurred by small managers. Furthermore, we show large mana… Show more
“…65 These diseconomies result from excessive administration costs incurred in communicating with the members, fund administration and regulatory levies. 66 According to Odundo (2008) and Nyakundi (2009), one of the issues that contribute to the inefffijiciency of the National Social Security Fund in Kenya is the estimated membership of 800,000 members who are dispersed across the country. This increases the costs associated with the administration of members' accounts and record keeping.…”
Section: Discussion Of Results and Managerial Implicationsmentioning
This paper investigates the determinants of the operational and fijinancial efffijiciency of pension funds in Kenya. A sample of 362 pension schemes was drawn from the Kenyan Retirement Benefijits Authority (RBA) register. The empirical results show that pension governance, leadership and regulations do not signifijicantly influence the operational and fijinancial efffijiciency of pension funds. The results do however reveal that pension regulations influence the leadership and governance practices of the pension schemes. Moreover, the schemes with more middle-aged members (31-40 years) are perceived to be better governed. Lastly, the results reveal fund size to be an important determinant of the fijinancial efffijiciency of the pension funds.
“…65 These diseconomies result from excessive administration costs incurred in communicating with the members, fund administration and regulatory levies. 66 According to Odundo (2008) and Nyakundi (2009), one of the issues that contribute to the inefffijiciency of the National Social Security Fund in Kenya is the estimated membership of 800,000 members who are dispersed across the country. This increases the costs associated with the administration of members' accounts and record keeping.…”
Section: Discussion Of Results and Managerial Implicationsmentioning
This paper investigates the determinants of the operational and fijinancial efffijiciency of pension funds in Kenya. A sample of 362 pension schemes was drawn from the Kenyan Retirement Benefijits Authority (RBA) register. The empirical results show that pension governance, leadership and regulations do not signifijicantly influence the operational and fijinancial efffijiciency of pension funds. The results do however reveal that pension regulations influence the leadership and governance practices of the pension schemes. Moreover, the schemes with more middle-aged members (31-40 years) are perceived to be better governed. Lastly, the results reveal fund size to be an important determinant of the fijinancial efffijiciency of the pension funds.
“…Chen et al (2004), Yan (2008), Chan et al (2009) andVidal-Garcia (2016) find that smaller funds outperform larger funds and provide evidence that the relation is strongest for funds with greater demand for liquidity due to aspects such as focusing on small caps, less liquid securities or their investment or trading style. Fung et al (2008) document that fund flows act to reduce alpha for hedge funds.…”
Section: Drivers Of Capacitymentioning
confidence: 90%
“…For example, Chan et al (2009) find that larger fund size is associated with more securities, less small stocks, lower bet sizes and less trading. Grinblatt and Titman (1989) and Christoffersen et al (2007) provide evidence that larger funds incur lower transaction costs, and Elton et al (2012) find that larger funds have lower expense ratios.…”
We examine the issues and methods involved in evaluating the size that an equity fund might attain before it becomes unable to create additional value for investors. We discuss how capacity is defined, identify ten drivers and outline methods for conducting capacity analysis. We detail models that predict capacity, assuming that a fund adjusts the manner in which it trades and constructs portfolios as funds under management grow. We also provide an overview of transaction cost modelling, which is integral to predicting capacity. This study is primarily intended as an aid for investment industry participants who wish to evaluate the capacity associated with a given investment signal.
“…Previous research suggests that there are diseconomies of scale for mutual funds that invest entirely in listed equity securities (see Beckers and Vaughan, ; Chen et al ., ; Yan, ; Chan et al ., ) . These studies find that scale erodes the performance of equity funds, because of the market‐impact costs and execution delays associated with large trades in equity markets and the loss of flexibility in implementing stock‐selection ideas .…”
Section: Scale Economies In the Superannuation Industrymentioning
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