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Journal ArticleDOI

Risk Shifting and Mutual Fund Performance

TL;DR: In this article, the authors investigated the performance consequences of risk shifting, as well as the economic motivations and the mechanisms for risk shifting using a holdings-based measure of risk shifts, and found that funds that increase risk perform worse than funds that keep stable risk levels over time.
Abstract: Mutual funds change their risk levels significantly over time This paper investigates the performance consequences of risk shifting, as well as the economic motivations and the mechanisms of risk shifting Using a holdings-based measure of risk shifting, we find that funds that increase risk perform worse than funds that keep stable risk levels over time In addition, funds that expect higher benefits from risk shifting are more likely to increase risk and perform particularly poorly after increasing risk Our results are consistent with the notion that agency problems, rather than the ability to take advantage of changing investment opportunities, are the likely motivation behind risk shifting behavior
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Citations
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Journal ArticleDOI
TL;DR: This paper used a new dataset to study how mutual fund flows depend on past performance across 28 countries and found that there are marked differences in the flow-performance relationship across countries, suggesting that US findings concerning its shape do not apply universally.
Abstract: We use a new dataset to study how mutual fund flows depend on past performance across 28 countries. We show that there are marked differences in the flow-performance relationship across countries, suggesting that US findings concerning its shape do not apply universally. We find that mutual fund investors sell losers more and buy winners less in more developed countries. This is because investors in more developed countries are more sophisticated and face lower costs of participating in the mutual fund industry. Higher country-level convexity is positively associated with higher levels of risk taking by fund managers.

231 citations

ReportDOI
TL;DR: This paper proposed a new measure of managerial ability that weighs a fund's market timing more in recessions and stock picking more in booms than either market timing or stock picking alone and predicts fund performance.
Abstract: We propose a new definition of skill as general cognitive ability to pick stocks or time the market. We find evidence for stock picking in booms and market timing in recessions. Moreover, the same fund managers that pick stocks well in expansions also time the market well in recessions. These fund managers significantly outperform other funds and passive benchmarks. Our results suggest a new measure of managerial ability that weighs a fund's market timing more in recessions and stock picking more in booms. The measure displays more persistence than either market timing or stock picking alone and predicts fund performance.

223 citations

Journal ArticleDOI
TL;DR: In this article, a new attention allocation model that uses the state of the business cycle to predict information choices, which in turn predict observable patterns of portfolio investments and returns is developed.
Abstract: The question of whether and how mutual fund managers provide valuable services for their clients motivates one of the largest literatures in finance. One candidate explanation is that funds process information about future asset values and use that information to invest in high-valued assets. But formal theories are scarce because information choice models with many assets are difficult to solve as well as difficult to test. This paper tackles both problems by developing a new attention allocation model that uses the state of the business cycle to predict information choices, which in turn, predict observable patterns of portfolio investments and returns. The predictions about fund portfolios' covariance with payoff shocks, cross-fund portfolio and return dispersion, and their excess returns are all supported by the data. These findings offer new evidence that some investment managers have skill and that attention is allocated rationally.

212 citations

References
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Journal ArticleDOI
TL;DR: In this article, the authors identify five common risk factors in the returns on stocks and bonds, including three stock-market factors: an overall market factor and factors related to firm size and book-to-market equity.

24,874 citations


"Risk Shifting and Mutual Fund Perfo..." refers methods in this paper

  • ...To adjust for risk and style effects, abnormal returns are computed using the one-factor CAPM, the Fama and French (1993), the Carhart (1997), and the Ferson and Schadt (1996) models....

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Journal ArticleDOI
TL;DR: In this article, the relationship between average return and risk for New York Stock Exchange common stocks was tested using a two-parameter portfolio model and models of market equilibrium derived from the two parameter portfolio model.
Abstract: This paper tests the relationship between average return and risk for New York Stock Exchange common stocks. The theoretical basis of the tests is the "two-parameter" portfolio model and models of market equilibrium derived from the two-parameter portfolio model. We cannot reject the hypothesis of these models that the pricing of common stocks reflects the attempts of risk-averse investors to hold portfolios that are "efficient" in terms of expected value and dispersion of return. Moreover, the observed "fair game" properties of the coefficients and residuals of the risk-return regressions are consistent with an "efficient capital market"--that is, a market where prices of securities

14,171 citations

Journal ArticleDOI
TL;DR: Using a sample free of survivor bias, this paper showed that common factors in stock returns and investment expenses almost completely explain persistence in equity mutual fund's mean and risk-adjusted returns.
Abstract: Using a sample free of survivor bias, I demonstrate that common factors in stock returns and investment expenses almost completely explain persistence in equity mutual funds' mean and risk-adjusted returns Hendricks, Patel and Zeckhauser's (1993) "hot hands" result is mostly driven by the one-year momentum effect of Jegadeesh and Titman (1993), but individual funds do not earn higher returns from following the momentum strategy in stocks The only significant persistence not explained is concentrated in strong underperformance by the worst-return mutual funds The results do not support the existence of skilled or informed mutual fund portfolio managers PERSISTENCE IN MUTUAL FUND performance does not reflect superior stock-picking skill Rather, common factors in stock returns and persistent differences in mutual fund expenses and transaction costs explain almost all of the predictability in mutual fund returns Only the strong, persistent underperformance by the worst-return mutual funds remains anomalous Mutual fund persistence is well documented in the finance literature, but not well explained Hendricks, Patel, and Zeckhauser (1993), Goetzmann and Ibbotson (1994), Brown and Goetzmann (1995), and Wermers (1996) find evidence of persistence in mutual fund performance over short-term horizons of one to three years, and attribute the persistence to "hot hands" or common investment strategies Grinblatt and Titman (1992), Elton, Gruber, Das, and Hlavka (1993), and Elton, Gruber, Das, and Blake (1996) document mutual fund return predictability over longer horizons of five to ten years, and attribute this to manager differential information or stock-picking talent Contrary evidence comes from Jensen (1969), who does not find that good subsequent performance follows good past performance Carhart (1992) shows that persistence in expense ratios drives much of the long-term persistence in mutual fund performance My analysis indicates that Jegadeesh and Titman's (1993) one-year momentum in stock returns accounts for Hendricks, Patel, and Zeckhauser's (1993) hot hands effect in mutual fund performance However, funds that earn higher

13,218 citations


"Risk Shifting and Mutual Fund Perfo..." refers background or methods in this paper

  • ...The idiosyncratic volatilities are computed as the standard deviations of the residuals from the CAPM or the Carhart factor regressions over the prior 36 months. Portfolio 1 (5) includes funds that decrease (increase) their idiosyncratic risk by more than 2% per year and Portfolio 3 includes funds that change their idiosyncratic risk by less than 1%. We find a strong relation between risk shifting and fund performance for portfolios sorted according to changes in idiosyncratic volatilities, but do not find a statistically significant return pattern for portfolios sorted according to changes in systematic risk. For example, the performance difference between funds that increase their idiosyncratic risk the most (in Portfolio 5) and funds that maintain stable risk levels (in Portfolio 3) is between -18 and -21 basis points per month, both significant at the 5% level, depending on whether idiosyncratic risk is measured relative to the market model or the four-factor Carhart model. On the other hand, the performance difference between funds that increase their systematic risk the most and funds that maintain stable systematic risk is -5 basis points per month and is not statistically significant. Thus, the poor performance of funds that increase risk is driven by the increase in their idiosyncratic risk levels and not by the increase in their systematic risk exposure. Our results suggest that the main driver of the poor performance of risk shifters is not their inability to time the aggregate market movements but their tendency to take on idiosyncratic risk.(12) (12)Ang, Hodrick, Xing, and Zhang (2006) report that stocks with high idiosyncratic volatility based on daily returns tend to exhibit relatively poor abnormal returns in the subsequent month....

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  • ...For example, high-expense funds in Portfolio 5 exhibit a Carhart alpha of -24 basis points per month, which is statistically significant at the 1% level, whereas low-expense funds in Portfolio 5 have an insignificant alpha of -10 basis points per month. The performance difference between high- and low-expense risk shifters (at 14 basis points per month) is substantially higher than the performance difference between all high- and low-expense funds (at only 3 basis points per month). Chevalier and Ellison (1997) find that younger funds with less established track records have a more convex flow-performance relation. Thus, younger mutual funds might have bigger incentives to shift risk. Similarly, smaller fund families also have more significant incentives to shift risk, as discussed in Huang, Wei, and Yan (2007). Panels B and C of Table 7 confirm that young funds and small fund families are more likely to shift risk and they experience particularly poor abnormal returns if they increase their risk levels....

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  • ...The Fama-French-Carhart model nests the CAPM model (which includes only the market factor) and the Fama-French model (which includes the size and the book-to-market factors in addition to the market factor)....

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  • ...To adjust for risk and style effects, abnormal returns are computed using the one-factor CAPM, the Fama and French (1993), the Carhart (1997), and the Ferson and Schadt (1996) models....

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  • ...The first group of columns in Table 7 summarizes the frequency distribution of funds across the two groups and the last group of columns reports the subsequent Carhart alphas for the ten mutual fund portfolios.(13) Gil-Bazo and Ruiz-Verdu (2009) find that high-expense funds do not perform better than low-expense funds, even before subtracting expenses....

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Journal ArticleDOI
TL;DR: Jensen's Alpha as discussed by the authors is a risk-adjusted measure of portfolio performance that estimates how much a manager's forecasting ability contributes to the fund's returns, based on the theory of the pricing of capital assets by Sharpe (1964), Lintner (1965a) and Treynor (Undated).
Abstract: In this paper I derive a risk-adjusted measure of portfolio performance (now known as Jensen's Alpha) that estimates how much a manager's forecasting ability contributes to the fund's returns. The measure is based on the theory of the pricing of capital assets by Sharpe (1964), Lintner (1965a) and Treynor (Undated). I apply the measure to estimate the predictive ability of 115 mutual fund managers in the period 1945-1964 - that is their ability to earn returns which are higher than those we would expect given the level of risk of each of the portfolios. The foundations of the model and the properties of the performance measure suggested here are discussed in Section II. The evidence on mutual fund performance indicates not only that these 115 mutual funds were on average not able to predict security prices well enough to outperform a buy-the-market-and-hold policy, but also that there is very little evidence that any individual fund was able to do significantly better than that which we expected from mere random chance. It is also important to note that these conclusions hold even when we measure the fund returns gross of management expenses (that is assume their bookkeeping, research, and other expenses except brokerage commissions were obtained free). Thus on average the funds apparently were not quite successful enough in their trading activities to recoup even their brokerage expenses.

4,050 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated whether marketwide liquidity is a state variable important for asset pricing and found that expected stock returns are related cross-sectionally to the sensitivities of returns to fluctuations in aggregate liquidity.
Abstract: This study investigates whether marketwide liquidity is a state variable important for asset pricing. We find that expected stock returns are related cross-sectionally to the sensitivities of returns to fluctuations in aggregate liquidity. Our monthly liquidity measure, an average of individual-stock measures estimated with daily data, relies on the principle that order flow induces greater return reversals when liquidity is lower. From 1966 through 1999, the average return on stocks with high sensitivities to liquidity exceeds that for stocks with low sensitivities by 7.5 percent annually, adjusted for exposures to the market return as well as size, value, and momentum factors. Furthermore, a liquidity risk factor accounts for half of the profits to a momentum strategy over the same 34-year period.

4,048 citations