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Mark M. Carhart's
Scholarly Papers
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Total Downloads
2,419 |
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Citations
45 |
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Mutual Fund Survivorship
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Mark M. Carhart GSAM Quantitative Strategies Group Jennifer N. Carpenter New York University - Department of Finance Anthony W. Lynch New York University - Department of Finance David K. Musto University of Pennsylvania - Finance Department
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Posted:
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18 Jun 97
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Last Revised:
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15 Dec 08
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2,419 ( 973) |
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Mark M. Carhart GSAM Quantitative Strategies Group Jennifer N. Carpenter New York University - Department of Finance Anthony W. Lynch New York University - Department of Finance David K. Musto University of Pennsylvania - Finance Department
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13 Nov 08
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15 Dec 08
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Abstract:
This paper offers a comprehensive study of survivorship issues, in the context of mutual fund research, using the mutual fund data set of Carhart (1997). We find that funds in our sample disappear primarily because of multi-year poor performance. Then we demonstrate analytically that this survival rule typically causes the survivor bias in average performance to increase in the length of the sample period, though it is possible to construct counterexamples. In the data, we find a strong positive relation between the survivor bias in average performance and sample period length. The bias is economically small at 17 basis points per annum for one-year samples, but a significantly larger one percent per annum for samples longer than fifteen years. We also find evidence of performance persistence in our sample and, consistent with the presence of a multi-period survival rule, we find that the persistence is weakened by survivorship bias. Finally, we explain how the relation between performance and fund characteristics can be affected by the use of a survivor-only sample and show that the magnitudes of the biases in the slope coefficients are large for fund size, expenses, turnover and load fees in our sample. Because survivorship issues are relevant for many data sets used in finance, the analysis in this paper has potential applications in areas of financial economics beyond just mutual fund research.
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Mark M. Carhart GSAM Quantitative Strategies Group Jennifer N. Carpenter New York University - Department of Finance Anthony W. Lynch New York University - Department of Finance David K. Musto University of Pennsylvania - Finance Department
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04 Nov 08
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04 Nov 08
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Abstract:
This paper offers a comprehensive study of survivorship issues, in the context of mutual fund research, using the mutual fund data set of Carhart (1997). We find that funds in our sample disappear primarily because of multi-year poor performance. Then we demonstrate analytically that this survival rule typically causes the survivor bias in average performance to increase in the lengthof the sample period, though it is possible to construct counterexamples. In the data, we find a strong positive relation between the survivor bias in average performance and sample period length. The bias is economically small at 17 basis points per annum for one-year samples, but a significantly larger one percent per annum for samples longer than fifteen years. We also find evidence of performance persistence in our sample and, consistent with the presence of a multi-period survivalrule, we find that the persistence is weakened by survivorship bias. Finally, we explain how the relation between performance and fund characteristics can be affected by the use of a survivor-only sample and show that the magnitudes of the biases in the slope coefficients are large for fund size,expenses, turnover and load fees in our sample. Because survivorship issues are relevant for many data sets used in finance, the analysis in this paper has potential applications in areas of financialeconomics beyond just mutual fund research.
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Mark M. Carhart GSAM Quantitative Strategies Group Jennifer N. Carpenter New York University - Department of Finance Anthony W. Lynch New York University - Department of Finance David K. Musto University of Pennsylvania - Finance Department
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19 Oct 00
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04 May 08
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Abstract:
This paper offers a comprehensive study of survivorship issues, in the context of mutual fund research, using the mutual fund data set of Carhart (1997). We find that funds in our sample disappear primarily because of multi-year poor performance. Then we demonstrate analytically that this survival rule typically causes the survivor bias in average performance to increase in the length of the sample period, though it is possible to construct counterexamples. In the data, we find a strong positive relation between the survivor bias in average performance and sample period length. The bias is economically small at 17 basis points per annum for one-year samples, but a significantly larger one percent per annum for samples longer than fifteen years. We also find evidence of performance persistence in our sample and, consistent with the presence of a multi-period survival rule, we find that the persistence is weakened by survivorship bias. Finally, we explain how the relation between performance and fund characteristics can be affected by the use of a survivor-only sample and show that the magnitudes of the biases in the slope coefficients are large for fund size, expenses, turnover and load fees in our sample. Because survivorship issues are relevant for many data sets used in finance, the analysis in this paper has potential applications in areas of financial economics beyond just mutual fund research.
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Mark M. Carhart GSAM Quantitative Strategies Group
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18 Jun 97
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19 Oct 97
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Abstract:
Survivorship induces a variety of biases in mutual fund research. I show analytically that biases in performance estimates depend on sample length and whether funds disappear after one or many poor returns. Using a sample free of survivor bias, I document higher risk and predominantly multiple-year underperformance in nonsurviving funds. This causes the bias in mean return estimates to increase in the time-length of the sample. In my data set, the bias is 0.43 percent per year in five-year samples and approximately one percent for samples longer than fifteen years. I also find downward bias in persistence tests and both upward and downward bias in the relations between performance and fund attributes depending on the type of selection bias. The results cast doubt on the conclusions of many published mutual fund studies.
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Mark M. Carhart GSAM Quantitative Strategies Group Ron Kaniel Duke University - Fuqua School of Business Adam V. Reed University of North Carolina at Chapel Hill - Finance Area David K. Musto University of Pennsylvania - Finance Department
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19 Nov 02
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08 Jul 08
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Abstract:
We present evidence that fund managers inflate quarter-end portfolio prices with last-minute purchases of stocks already held. The magnitude of price inflation ranges from 0.5 percent per year for large-cap funds to well over 2 percent for small-cap funds. We find that the cross section of inflation matches the cross section of incentives from the flow/performance relation, that a surge of trading in the quarter's last minutes coincides with a surge in equity prices, and that the inflation is greatest for the stocks held by funds with the most incentive to inflate, controlling for the stocks' size and performance.
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Mark M. Carhart GSAM Quantitative Strategies Group
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15 Jan 97
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21 Jan 98
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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.
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