The Behaviour of Socially Responsible Investments as Financial Assets

This paper examines the behaviour of socially responsible investments (SRIs) as financial assets using a returns-based style analysis methodology. Conflicting views exist on the risks of SRIs in terms of their exposure to asset classes and industry sectors. This paper provides empirical evidence from a sample of Australian SRI managed funds. The sample SRI funds do not have strong consistent patterns in terms of style. They do not appear to represent a homogenous category of investments, and do not belong in an investment class of their own.     

INVESTMENT PERFORMANCE OF INTERNATIONAL MUTUAL FUNDS

In this paper we add several new perspectives to the growing body of empirical evidence on the investment performance of international mutual funds by applying a pooled cross-sectional/time-series regression methodology to a large data base over an extended period. Risk-adjusted and unadjusted investment returns are not related to whether a fund is load or no-load, and asset size, expense ratios, and turnover rates are not related to investment performance. We find no reward for paying a load fee when investing in mutual funds. It is noteworthy that performance is not affected by fund size, given the explosive growth of international mutual funds.     

Real Estate Fund Flows and the Flow-Performance Relationship

Convexity in the flow-performance relationship of traditional asset class mutual funds is widely documented, however it cannot be assumed to hold for alternative asset classes. This paper addresses this shortcoming in the literature by examining the flow-performance relationship for real estate funds, specifically open-end, direct-property funds. This investment vehicle is designed to provide the risk-return benefits of private market real estate and is available to retail investors in many countries across the globe. An understanding of fund flow dynamics associated with this investment vehicle is of particular interest due to the liquidity risk associated with holding an inherently illiquid asset in an open-end structure. Our analysis draws on the theoretical foundations provided in the literature on mutual fund flows, performance chasing, liquidity risk, participation costs and dynamics across market cycles. We focus on German real estate funds from 1990 to 2010 as this is the largest market globally and there is a high level of confidence in the data. The results show that real estate fund investors chase past performance at the aggregate level and the relationship between flows and relative performance is asymmetric (i.e., convex) at the individual fund level. Fund-level liquidity risk tends to weaken convexity, while sensitivity increases with higher participation costs. We find the flow-performance relationship varies across time, though our interpretation is asset and investment vehicle specific. The implications are applicable to investors and fund managers of open-end, direct-property funds and, more broadly, other alternative asset funds where the underlying asset may not be liquid.     

Do hedge funds dynamically manage systematic risk?

Defining systematic risk management (SRM) skill as persistently low fund systematic risk, we find evidence of time varying allocation of hedge fund management effort across the business cycle. In weak market states, skilled managers focus on minimization of systematic risk via dynamic reallocations across asset classes at the cost of fund alpha and foregoing market timing opportunities. As markets strengthen, attention shifts to asset selection within consistent asset classes. The superior performance of low systematic risk funds previously documented arises due to the superior asset selection ability of managers in strong market states. Incremental allocations by investors arise due to this superior performance and not due to recognition of SRM skill.     

Effect of fund size on the performance of Australian superannuation funds

This study examines the relationship between fund size and performance for two major superannuation industry sectors in Australia: retail and not‐for‐profit, using a unique but confidential database. Results suggest that members benefit from being invested in larger superannuation funds for three reasons: (i) larger not‐for‐profit funds provide diversification benefits of investing in more asset classes including unlisted property and private equity, (ii) larger funds in both sectors avoid the scale diseconomies in investment returns documented in studies of equity mutual funds and (iii) larger funds make substantial savings by spreading fixed operating costs (such as IT infrastructure) over a larger asset base.     

How persistent is private equity performance? Evidence from deal-level data

The persistence of returns is a critical issue for investors in their choice of private equity managers. In this paper, we analyse buyout performance persistence in new ways, using a unique database containing cash flow data on 13,523 portfolio company investments by 865 buyout funds. We focus on unique realized deals and find that persistence of fund managers has substantially declined as the private equity sector has matured and become more competitive. Private equity has, therefore, largely conformed to the pattern found in most other asset classes in which past performance is a poor predictor of the future.     

Investor sophistication and risk taking

Using investment policy data of 857 Dutch pension funds during 1999–2006, we develop three indicators of investor sophistication. The indicators show that pension funds’ strategic portfolio choices are often based on coarse and less sophisticated approaches. First, most pension funds round strategic asset allocations to the nearest multiple of 5%, similar to age heaping in demographic and historical studies. Second, many pension funds invest little or nothing in alternative, more complex asset classes, resulting in limited asset diversification. Third, many pension funds favor regional investments and as such do not fully employ the opportunities of international risk diversification. Our indicators are correlated with pension fund size, in line with the expectation that smaller pension funds are generally less sophisticated than large pension funds. Using the indicators for investor sophistication, we show that less sophisticated pension funds tend to opt for investment strategies with less risk.     

Hedge fund performance attribution under various market conditions

We investigate US hedge funds' performance. Our proposed model contains exogenous and endogenous break points, based on business cycles and on a regime switching process conditional on different states of the market. During difficult market conditions most hedge fund strategies do not provide significant alphas. At such times hedge funds reduce both the number of their exposures to different asset classes and their portfolio allocations, while some strategies even reverse their exposures. Directional strategies share more common exposures under all market conditions compared to non-directional strategies. Factors related to commodity asset classes are more common during these difficult conditions whereas factors related to equity asset classes are most common during good market conditions. Falling stock markets are harsher than recessions for hedge funds.     

Emerging market hedge funds: Do they perform like regular hedge funds?

In this study, we investigate whether the performance of emerging market hedge funds (EMHFs) follow a pattern similar to that reported for advanced market hedge funds. In contrast to the pre-2007 period, our results for the post-2006 period show that EMHFs exhibit performance patterns similar to those reported for hedge funds that focus on the developed markets. Unlike in the pre-2007 period, EMHFs in general do not exhibit significant exposure to specific asset classes in the post-2006 period. On a risk-adjusted basis, we find that EMHFs do not consistently outperform the benchmarks. The reported performance patterns may provide useful insights to both academics and portfolio managers.     

Time Variation in Diversification Benefits of Commodity, REITs, and TIPS

Diversification benefits of three “hot” asset classes—Commodity, Real Estate Investment Trusts (REITs), and Treasury Inflation-Protected Securities (TIPS)—are well-studied on an individual basis and in a static setting. Using data from 1970 to 2010, this paper documents both that the three asset classes are in general not substitutes for each other, and that diversification benefits of each asset class change substantially over time. Therefore, all three asset classes ought to be included in investors’ portfolios. Furthermore, we show that the observed time variation in diversification benefits can be explained by time-varying return correlations. To see the implications of these findings for asset allocation in practice, we examine the out-of-sample performance of portfolio strategies, based on a variety of correlation structures. We find that the Dynamic Conditional Correlation (DCC) model (Engle, J Bus Econ Stat 20(3):339–350, 2002) outperforms other correlation structures, such as rolling-window, historical, and constant correlations. Our findings suggest that diversification benefits of the three asset classes should be examined in a dynamic setting, and that investors need to use appropriate correlation estimates to adjust for such time variation.     

Measuring performance of international closed-end funds

This paper provides an empirical analysis of the performance of 45 international closed-end funds and compares alternate measures of performance using the sample of funds and 35 national market indices. The empirical evidence indicates that the risk-adjusted performance of the shares or the net asset values of the funds match the performance of their respective local market indices, as well as the world market index and do not exhibit superior timing ability. These findings are robust to conditioning on information.     

Asset Pricing Specification Errors and Performance Evaluation

Many evaluation techniques typically measure performance asdeviations of average returns on actively managed funds fromthose predicted by some asset pricing model. Empirical evidence,however, has so far suggested that all asset pricing modelslack empirical support, implying that the models contain mis-specificationerrors to various degrees. Evaluating mutual fund performancerelative to any of these models thus becomes problematic. Inthis paper, we propose an approach to performance measurementthat emphasizes minimizing explicitly the pricing error associatedwith an asset pricing function which is employed to computeperformance measures. This approach is henceforth called theminimum specification-error (MSE) method. We also discuss thestatistical properties for implementing MSE performance measure.To demonstrate the significance of the pricing error confoundedin evaluation measurement, we contrast our methodology withthe Grinblatt and Titman (1989) period weighting approach andwith the empirical implementation of Chen and Knez (1996). Wefind that the greater the pricing error of passive assets, thelarger the performance measures. Given the average pricing errorgenerated from a collection of 163 diverse passive portfoliosused in this analysis the performance values assigned to a largenumber of the funds become statistically and economically insignificant.     

Hedge-Fonds als Asset-Klasse: Betrachtungen aus der Perspektive der deutschen Versicherungswirtschaft

The over performance of hedge funds until the current financial market turbulences led to a large number of insurers increasing their hedge funds quota. In the following this asset class is examined and particularly analyzed with respect to its adequacy for an insurance company's asset allocation by focusing on the axiom of safety, as demanded by national law. The problem of survivorship-bias and the Markowitz requirements of normal-distribution and constant correlations among the asset classes and their impact on a strategic asset allocation are studied.     

Allocation of decision rights and the investment strategy of mutual funds

The literature suggests that while decentralized decision making can allow for greater specialization in an organization, it heightens the cost of coordinating decisions. The mutual fund industry—in particular, sole- and team-managed balanced funds—provides an ideal setting to test the specialization versus coordination trade-off, as information on decision structures and fund actions is easily obtained. We show that sole-managed balanced funds, with centralized decision rights, exhibit significant market timing that requires reallocation across asset classes. However, consistent with coordination difficulties between managers specializing in particular asset classes, no market timing is evident in team-managed balanced funds. Team-managed funds exhibit greater returns from specialization, in the form of better security selection performance than sole-managed funds. These results hold cross-sectionally and for funds that switch management structures. The overall returns across different management structures are similar, indicating a market equilibrium. Investor flows reward market-timing performance for sole- but not team-managed funds.     

Another Puzzle: The Growth in Actively Managed Mutual Funds

Mutual funds represent one of the fastest growing type of financial intermediary in the American economy. The question remains as to why mutual funds and in particular actively managed mutual funds have grown so fast, when their performance on average has been inferior to that of index funds. One possible explanation of why investors buy actively managed open end funds lies in the fact that they are bought and sold at net asset value, and thus management ability may not be priced. If management ability exists and it is not included in the price of open end funds, then performance should be predictable. If performance is predictable and at least some investors are aware of this, then cash flows into and out of funds should be predictable by the very same metrics that predict performance. Finally, if predictors exist and at least some investors act on these predictors in investing in mutual funds, the return on new cash flows should be better than the average return for all investors in these funds. This article presents empirical evidence on all of these issues and shows that investors in actively managed mutual funds may have been more rational than we have assumed.     

Rehabilitating the role of active management for pension funds

Pension fund returns can be decomposed into different sources, including market movements, asset allocation policy, and active portfolio management. We use a unique database covering the asset allocations of US defined-benefit pension funds for the period 1990–2008, and we test the role of each factor in explaining their returns. Our results shed new light on pension funds’ sources of performance. While the previous literature emphasized that policy allocation accounts for the bulk of returns, leaving little room for active management, we show that taking explicit account of market movement can change the results significantly. Although active management plays a minor role in global asset allocation, its role is predominant in explaining returns to individual asset classes, whether traditional or alternative. This paper rehabilitates the contribution of active management as a source of performance for pension funds, at least at the asset class level.     

Attribution of investment performance: an analysis of Australian pooled superannuation funds*

This paper evaluates the market timing and security selection capabilities of Australian pooled superannuation funds over the eight‐year period from January 1991 to December 1998. Evaluation of both components of investment performance is surprisingly scarce in the Australian literature despite active investment managers engaging in both market timing and security selection. The paper also evaluates performance for the three largest asset classes within diversified superannuation funds and their contribution to overall portfolio return. The importance of an accurately specified market portfolio proxy in the measurement of investment performance is demonstrated. This paper employs performance benchmarks that account for the multi‐sector investment decisions of active investment managers in a manner that is consistent with their unique investment strategy. Consistent with U.S. literature, the empirical results indicate that Australian pooled superannuation funds do not exhibit significantly positive security selection or market timing skill.     

Attribution of investment performance: an analysis of Australian pooled superannuation funds*

This paper evaluates the market timing and security selection capabilities of Australian pooled superannuation funds over the eight‐year period from January 1991 to December 1998. Evaluation of both components of investment performance is surprisingly scarce in the Australian literature despite active investment managers engaging in both market timing and security selection. The paper also evaluates performance for the three largest asset classes within diversified superannuation funds and their contribution to overall portfolio return. The importance of an accurately specified market portfolio proxy in the measurement of investment performance is demonstrated. This paper employs performance benchmarks that account for the multi‐sector investment decisions of active investment managers in a manner that is consistent with their unique investment strategy. Consistent with U.S. literature, the empirical results indicate that Australian pooled superannuation funds do not exhibit significantly positive security selection or market timing skill.     

Multi-asset class mutual funds: Can they time the market? Evidence from the US,UK and Canada

The importance of asset allocation decisions in wealth management is well established. However, given its importance it is perhaps surprising that so little attention has been paid to the question of whether professional fund managers are skilful at timing market movement across asset classes over time. The timing literature has tended to concentrate on the timing skill of single asset class funds. Using data on US, UK and Canadian multi-asset class funds, we apply two alternative methodologies to identify the asset class timing abilities of managers. Overall, whether we apply a returns-based method or a holdings-based testing approach, we find evidence of only a tiny minority of funds with asset class timing ability.     

Asset Pricing Specification Errorsand Performance Evaluation

Many evaluation techniques typically measure performance as deviations of average returns on actively managed funds from those predicted by some asset pricing model. Empirical evidence, however,has so far suggested that all asset pricing models lack empiricalsupport, implying that the models contain mis-specification errors tovarious degrees. Evaluating mutual fund performance relative to any of these models thus becomes problematic.In this paper, we propose an approach to performancemeasurement that emphasizes minimizing explicitly the pricing error associated with an asset pricing function which isemployed to compute performance measures. This approachis henceforth called the minimum specification-error (MSE) method. We also discuss the statistical properties for implementing MSE performance measures.To demonstrate the significance of the pricing errorconfounded in evaluation measurement, we contrast our methodology with the Grinblatt and Titman (1989) period weighting approach and with the empirical implementation of Chen and Knez(1996). We find that the greater the pricing error ofpassive assets, the larger the performance measures. Given the average pricing error generated from a collection of 163 diverse passive portfolios used in this analysis, the performance values assigned to a large number of the funds become statistically and economically insignificant.