Return Explanatory Ability and Predictability of Non-Linear Market Models

C. Hung
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引用次数: 1

Abstract

Recent literature supports the pricing of higher-order systematic co-moments of returns. This paper provides some support for the quadratic-market model that is consistent with the three-moment CAPM in explaining time-series returns of the winner and the smallest size portfolios. This study further uses three innovative methodologies in analysing the ability of the linear CAPM, the quadratic- and the cubic-market models in predicting one-period- ahead returns on individual stocks, equally- and value-weighted portfolios of momentum, size and country sorts. The results are surprising but important that the higher-moment CAPM market models do not outperform the linear CAPM in the return predictability tests.
非线性市场模型的收益解释能力与可预测性
最近的文献支持高阶系统收益共矩的定价。本文为二次市场模型在解释赢家和最小规模投资组合的时间序列收益方面提供了一些支持,该模型与三时刻CAPM是一致的。本研究进一步使用了三种创新的方法来分析线性CAPM、二次和三次市场模型在预测个股、动量、规模和国家类别的等加权和价值加权投资组合的一期前回报方面的能力。结果令人惊讶,但重要的是,在回报可预测性测试中,高矩CAPM市场模型并不优于线性CAPM。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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