Misspecifications in the fund flow-performance relationship

This study shows the importance of return discrimination between funds in the flow-performance relationship. To do so, we employ objective-adjusted returns rather than performance ranks. We demonstrate that the net flow-performance relationship is a direct consequence of the convex inflow- and outflow-performance relationships, and that fund size and age have no significant effect on these relationships. When we measure past performance using 12-month objective-adjusted returns, we find a linear net flow-performance relationship after controlling for the investor-substitution effect.     

Active management, fund size, and bond mutual fund returns

Conventional wisdom holds that bonds are relatively homogenous investments compared to equities. Consequently, factors that explain variation in returns among bond mutual funds may differ in magnitude from those for equity mutual funds. In this study, a time-series cross-sectional analysis is employed to investigate the relationship between a bond fund's risk-adjusted return and specific fund attributes. Results indicate that a bond fund's past performance does not predict future performance and that bond fund managers are generally ineffective at increasing risk-adjusted returns. However, unlike equity mutual funds, bond mutual funds do appear to enjoy economies of scale.     

Informed trading around earnings and mutual fund alphas

We examine whether informed trading around earnings announcements drives mutual fund performance. The measure is motivated by prior studies arguing that a mutual fund is skilled if it buys stocks with subsequent high earnings announcement returns. We find that this measure predicts future mutual fund returns. On average, after adjusting for Carhart’s four risk factors, the top decile of mutual funds outperforms the bottom decile by 44 basis points per quarter. By decomposing fund alphas into two components in their relations to earnings, we find that this measure is only associated with earnings-related fund alphas. This measure can also be used to predict stock returns at future earnings announcements.     

Macroeconomic risk and hedge fund returns

This paper estimates hedge fund and mutual fund exposure to newly proposed measures of macroeconomic risk that are interpreted as measures of economic uncertainty. We find that the resulting uncertainty betas explain a significant proportion of the cross-sectional dispersion in hedge fund returns. However, the same is not true for mutual funds, for which there is no significant relationship. After controlling for a large set of fund characteristics and risk factors, the positive relation between uncertainty betas and future hedge fund returns remains economically and statistically significant. Hence, we argue that macroeconomic risk is a powerful determinant of cross-sectional differences in hedge fund returns.     

Systematic risk and the cross section of hedge fund returns

This paper investigates the extent to which market risk, residual risk, and tail risk explain the cross-sectional dispersion in hedge fund returns. The paper introduces a comprehensive measure of systematic risk (SR) for individual hedge funds by breaking up total risk into systematic and fund-specific or residual risk components. Contrary to the popular understanding that hedge funds are market neutral, we find that systematic risk is a highly significant factor explaining the dispersion of cross-sectional returns while at the same time measures of residual risk and tail risk seem to have little explanatory power. Funds in the highest SR quintile generate 6% more average annual returns compared with funds in the lowest SR quintile. After controlling for a large set of fund characteristics and risk factors, systematic risk remains positive and highly significant, whereas the relation between residual risk and future fund returns continues to be insignificant. Hence, systematic risk is a powerful determinant of the cross-sectional differences in hedge fund returns.     

Who incentivizes the mutual fund manager,new or old shareholders?

This study tests whether mutual fund shareholders continue to trade in response to fund returns after they make their initial investment in fund shares. It decomposes the relationship between fund returns and shareholder flow in a large, proprietary panel of all shareholder transactions in one midsize no-load mutual fund family. Results show that both new and old shareholders buy shares during periods of good returns; however, shareholder outflow is essentially unrelated to fund returns. This lack of a return-sell relationship is not driven by locked-in pension assets, shareholders’ ignorance of ongoing fund returns, or embedded capital gains. However, there is evidence that exchanges between equity funds in the family are related more strongly to returns of the destination fund than to returns of the origination fund. This may indicate that flow between equity mutual funds is driven by shareholders buying new funds rather than selling old funds. Supermarket shareholders are smart insofar as they exchange into funds that subsequently outperform their prior funds during their individual holding periods.     

Quantile regression analysis of hedge fund strategies

Extending previous work on hedge fund pricing, this paper introduces the idea of modelling the conditional quantiles of hedge fund returns using a set of risk factors. Quantile regression analysis provides a way of understanding how the relationship between hedge fund returns and risk factors changes across the distribution of conditional returns. We propose a Bayesian approach to model comparison which provides posterior probabilities for different risk factor models that can be used for model averaging. The most relevant risk factors are identified for different quantiles and compared with those obtained for the conditional expectation model. We find differences in factor effects across quantiles of returns, which suggest that the standard conditional mean regression method may not be adequate for uncovering the risk-return characteristics of hedge funds. We explore potential economic impacts of our approach by analysing hedge fund single strategy return series and by constructing style portfolios.     

Time-varying expected small firm returns and closed-end fund discounts

This article describes the relation between closed-end funddiscounts and time-varying expected excess returns on smallfirms. The results indicate that closed-end fund discounts forecastfuture excess returns on small firms. The information in discountsis independent of that in other commonly used forecasting variablessuch as the dividend yield on the market, the default spread,and the term spread. Furthermore, the closed-end fund discountforecasts only the small firm factor return and is the onlyvariable that forecasts the small firm factor return. Additionaltests indicate that the information in discounts is relatedto expectations of future earnings growth and expectations offuture inflation. These results provide significant supportfor a rational explanation of the time-series relationship betweendiscounts and expected returns on small firms.     

Predicting hedge fund performance when fund returns are skewed

We show that fund-specific return skewness is associated with managerial skill and future hedge fund performance. Specifically, skewness in fund returns reflects managerial skill in avoiding large drawdowns. Using a new measure of investment skill that accounts for this managerial ability, we demonstrate that traditional performance measures underestimate (overestimate) managerial performance when returns exhibit positive (negative) fund-specific skewness. Our new measure is particularly valuable during periods of economic crisis, when the annual risk-adjusted outperformance is 5.5%.     

Relations between mutual fund flows and stock market returns in Korea

This paper analyses relations between stock market returns and mutual fund flows in Korea. A positive relationship exists between stock market returns and mutual fund flows, measured as stock purchases and sales and net trading volumes. In aggregate, mutual funds are negative feedback traders. Standard causality tests suggest that it is predominantly returns that drive flows, while stock sales may contain information about returns. After controlling for declining markets, the results suggest Korean equity fund managers tend to increase stock purchases in times of rising market volatility, possibly disregarding fundamental information, and to sell in times of wide dispersion in investor beliefs.     

Alpha or beta in the eye of the beholder: What drives hedge fund flows?

Capital Asset Pricing Model (CAPM) alpha explains hedge fund flows better than alphas from more sophisticated models. This suggests that investors pool together sophisticated model alpha with returns from exposures to traditional (except for the market) and exotic risks. We decompose performance into traditional and exotic risk components and find that while investors chase both components, they place greater relative emphasis on returns associated with exotic risk exposures that can only be obtained through hedge funds. However, we find little evidence of persistence in performance from traditional or exotic risks, which cautions against investors’ practice of seeking out risk exposures following periods of recent success.     

Sovereign wealth fund investment and the return-to-risk performance of target firms

This paper investigates the relationship between sovereign wealth fund (SWF) investment and the return-to-risk performance of target firms. Specifically, we find that target firm raw returns decline following SWF investment. Though risk also declines following SWF investment, we find that SWF investment is associated with a reduction in the compensation of risk over the 5 years following acquisition. Firm volatility decomposition suggests that idiosyncratic risk is what mainly drives these impacts toward decline. Employing a multinomial logit framework wherein combinations of target returns and risk movements are categorized, we see that, in cases of foreign investment, SWFs’ target firm performance most closely resembles that of other government-owned firms. The observed results are inconsistent with predictions of higher volatility and improved returns due to monitoring firm activities from the institutional investor literature. This suggests that SWFs may not provide some of the benefits that are offered by other institutional investors.     

Investor risk evaluation in the determination of management incentives in the mutual fund industry

This paper examines the way in which investors evaluate risk in deciding which mutual funds to invest. New fund investment is found to be positively related to a distributed lag of past fund performance with a strong degree of inertia. The relationship is mostly linear with significant nonlinearities at the upper (and possibly the lower) end of the performance spectrum. Investors appear to use publicly available data in a way that is consistent with the theory, giving equal weight in their decisions to the return and market risk components of the performance measure, while ignoring diversifiable risk. Finally, it is shown that improved performance in any year has a significant impact on the earnings of the management company. Because managers are rewarded on the basis of risk adjusted returns, risk neutral managers have no incentive to manipulate risk, except at very high performance levels.     

Value-at-risk and the cross section of emerging market hedge fund returns

This paper examines the cross-sectional relationship between downside risk (Value at Risk) and expected returns in a sample of 1370 emerging market hedge funds (EMHF). We find that downside risk significantly drives expected returns for these funds, particularly before the global financial crisis, commanding an annual risk premium of over 12%. While EMHF differ from their advanced market counterparts in risk/return patterns, we show that the global financial crisis of 2008 has caused a structural shift in that pattern. Finally, we show that the risk premium associated with downside risk is predictable by the global financial cycle, even after we control for emerging market systematic risk factors.     

Explaining persistence in mutual fund performance

This study investigates the determinants of persistence in mutual fund performance. Previous research that uses factor-mimicking portfolios and characteristic benchmarks to model fund performance fails to explain all the persistence in fund returns. This study employs a model that directly relates mutual fund returns to the characteristics of the stocks held by funds. Adjusting fund returns for the size of the stocks in which funds invest and financial ratios intended to capture fund manager investment styles explains all the persistence in mutual fund returns from 1976–1985, the period in which persistence is most prevalent.     

Higher risk,lower returns: What hedge fund investors really earn

The returns of hedge fund investors depend not only on the returns of the funds they hold but also on the timing and magnitude of their capital flows in and out of these funds. We use dollar-weighted returns (a form of Internal Rate of Return (IRR)) to assess the properties of actual investor returns on hedge funds and compare them to buy-and-hold fund returns. Our main finding is that annualized dollar-weighted returns are on the magnitude of 3% to 7% lower than corresponding buy-and-hold fund returns. Using factor models of risk and the estimated dollar-weighted performance gap, we find that the real alpha of hedge fund investors is close to zero. In absolute terms, dollar-weighted returns are reliably lower than the return on the Standard & Poor's (S&P) 500 index, and are only marginally higher than the risk-free rate as of the end of 2008. The combined impression from these results is that the return experience of hedge fund investors is much worse than previously thought.     

Short-term persistence in hybrid mutual fund performance: The role of style-shifting abilities

Our study analyzes the performance of hybrid mutual funds. Based on two extended Carhart models we determine total fund performance by comparing fund returns to investable fund-specific style benchmarks. Using daily returns and a quarterly measurement interval, we present an innovative return-based approach to decompose total performance into in-quarter abnormal performance and style-shifting performance. In addition, we split total style-shifting performance into active and passive components. In this context, we confirm possible benefits of these performance measures by analyzing several simulated investment strategies. Our empirical study covers 520 hybrid mutual funds from 10/1998 to 12/2009 and shows that hybrid mutual funds (i) do not outperform their benchmarks on average, (ii) partially show positive in-quarter abnormal performance and style-shifting abilities, and (iii) exhibit short-term persistence in in-quarter abnormal performance but not in style-shifting abilities.     

Short-term hedge fund performance

Hedge fund returns are often explained using linear factor models such as Fung and Hsieh (2004). However, since most hedge funds live only for 3 years, these linear regressions are subject to over-parameterization. I improve the out-of-sample accuracy of the linear factor model by combining cross-sectional and time series information for groups of hedge funds with similar investment strategies. The additional cross-sectional information allows more accurate estimates of risk exposures. I also propose a trading strategy based on this methodology for extracting substantially larger risk-adjusted returns.     

Manager characteristics: Predicting fund performance

A great deal of research effort has sought to understand whether fund managers have skill. However, most of this research draws inferences from fund returns attributable to funds that may have been managed by many different managers over the years. In this paper we focus on the fund manager. We put together a comprehensive data base of manager returns, including a time series of managers' career returns, concatenating performance from the different funds that a manager may have managed over time. We relate these returns to the characteristics of the managers as we seek to understand whether these characteristics have an impact on: manager skill; manager style; and on performance persistence.     

Performance and persistence in money market fund returns

We study the factors affecting the cross section of net returns of money market mutual funds from 1990 through 1994, and the persistence of relative returns across years. We find that the expense ratio is the most important factor in explaining differences in net returns. Government-only funds produce slightly lower returns than other-taxable funds, and economies of scale are evident only for the smaller funds. Money funds' relative returns show strong persistence. Most funds maintain stable expense ratios, so low-cost funds produce consistently high relative returns.