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• W2104394619 abstract "We propose a reliable new estimator for realized skewness which is robust to microstructure noise at ultra-high frequency level. Asymptotic theory for the new estimator has been de- rived. Simulation example veries its superior performance. We apply the new estimator to tick data of the S&P 500 index for forecasting equity premium in the U.S. market from 1990-2011 and nd that it has signicant forecast-ability both in-sample and out-of-sample. We also show that the new skewness measure plus the variance risk premium provides right decomposition for the skewness risk. We thus provide evidence that realized skewness links to conditional market premium." @default.
• W2104394619 created "2016-06-24" @default.
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• W2104394619 date "2013-01-01" @default.
• W2104394619 modified "2023-10-02" @default.
• W2104394619 title "Measuring the Realized Skewness in Noisy Semi-Martingale with Jumps Using High Frequency Data" @default.
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• W2104394619 doi "https://doi.org/10.2139/ssrn.2224216" @default.
• W2104394619 hasPublicationYear "2013" @default.
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