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We investigate the relationship between a mutual fund’s variation in systematic risk factor exposures and its future performance. Using a dynamic state space version of Carhart (1997)’s four factor model to capture risk factor variation, we find that funds with volatile risk factor exposures...
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In this paper, we analyze new possibilities in predicting daily ranges, i.e. differences between daily high and low prices. We empirically assess efficiency gains in volatility estimation when using range-based estimators as opposed to simple daily ranges and explore the use of these more...
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squared return prediction errors gives an adequate approximation of the unobserved realised conditional variance for both the …
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