Forecasting Cross-Section of Stock Returns with Realised Moments
Milan Fičura
European Financial and Accounting Journal, 2019, vol. 2019, issue 2, 71-84
Abstract:
The study tests whether realised moments of stock returns (mean, variance, skewness and kurtosis) computed from daily returns over the last month, quarter and year can predict the 1-month cross-sectional stock returns of 40 US-traded liquid stocks in the period 1986-2019. The performed univariate regression analysis confirmed a statistically significant positive effect between all the realised moments, computed over the last quarter and year, and the future 1-month cross-sectional stock returns, while the 1-month realised moments proved to be mostly insignificant. Multivariate analysis, performed with Elastic Net Regression, has confirmed that investment strategies utilising information from realised moments were able to significantly outperform a random investment in the out-sample period 2004-2019.
Keywords: Cross-Section of Stock Returns; Realised variance; Realised Skewness; Realised Kurtosis; Momentum Effect (search for similar items in EconPapers)
JEL-codes: G11 G12 G17 (search for similar items in EconPapers)
Date: 2019
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DOI: 10.18267/j.efaj.227
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