Modeling Skewness in Portfolio Choice

Trung H. Le, A. Kourtis, Raphael N. Markellos
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Abstract

Despite half a century of research, we still do not know the best way to model skewness of financial returns. We address this question by comparing the predictive ability and associated portfolio performance of several prominent skewness models in a sample of ten international equity market indices. Models that employ information from the option markets provide the best outcomes overall. We develop an option-based model that accounts for the skewness risk premium. The new model produces the most informative forecasts of future skewness, the lowest prediction errors and the best portfolio performance in most of our tests.
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投资组合选择中的偏度建模
尽管进行了半个世纪的研究,我们仍然不知道建立金融回报偏度模型的最佳方法。我们通过比较十个国际股票市场指数样本中几个突出的偏度模型的预测能力和相关的投资组合表现来解决这个问题。采用期权市场信息的模型总体上提供了最好的结果。我们开发了一个基于期权的模型来解释偏度风险溢价。在我们的大多数测试中,新模型对未来偏度的预测信息量最大,预测误差最小,投资组合表现最佳。
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