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Modeling Conditional Skewness in Stock Returns

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  • Markku Lanne
  • Pentti Saikkonen

Abstract

In this paper we propose a new GARCH-in-Mean (GARCH-M) model allowing for conditional skewness. The model is based on the so-called z distribution capable of modeling moderate skewness and kurtosis typically encountered in stock return series. The need to allow for skewness can also be readily tested. Our empirical results indicate the presence of conditional skewness in the postwar U.S. stock returns. Small positive news is also found to have a smaller impact on conditional variance than no news at all. Moreover, the symmetric GARCH-M model not allowing for conditional skewness is found to systematically overpredict conditional variance and average excess returns.

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Bibliographic Info

Paper provided by European University Institute in its series Economics Working Papers with number ECO2005/14.

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Date of creation: 2005
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Handle: RePEc:eui:euiwps:eco2005/14

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Related research

Keywords: Conditional skewness; GARCH-in-Mean; Risk-return tradeoff;

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Cited by:
  1. Lai, Jing-yi, 2012. "Shock-dependent conditional skewness in international aggregate stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 72-83.
  2. Matteo Grigoletto & Francesco Lisi, 2011. "Practical implications of higher moments in risk management," Statistical Methods and Applications, Springer, vol. 20(4), pages 487-506, November.
  3. Bruno Feunou & Mohammad R. Jahan-Parvar & Roméo Tedongap, 2013. "Which Parametric Model for Conditional Skewness?," Working Papers 13-32, Bank of Canada.
  4. Christian Bauer, 2007. "A Better Asymmetric Model of Changing Volatility in Stock and Exchange Rate Returns: Trend-GARCH," The European Journal of Finance, Taylor & Francis Journals, vol. 13(1), pages 65-87.

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