韩国股票市场的综合资产定价测试

IF 1.8 4区 经济学 Q2 BUSINESS, FINANCE
Jaewan Bae, Jangkoo Kang, Jun Park
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引用次数: 0

摘要

我们研究了三种新的资产定价因子模型在韩国股票市场的实证表现:Stambaugh-Yuan(2017)的错误定价因子模型、Daniel等人(2020)的三因子模型、Barillas-Shanken(2018)的六因子模型和Hou等人(2021)的q5因子模型。我们发现,这些因子模型中的所有因子都具有显著的正风险溢价,而 Fama-French 六因子模型则无法解释。与其他流行模型相比,q5 模型显示出最高的最大夏普比率,这主要归功于其盈利能力和预期增长因子。此外,q5 模型在解释韩国市场 97 个异常投资组合的收益方面表现优异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive Asset Pricing Tests in the Korean Stock Market

We examine the empirical performance in the Korean stock market of three new asset pricing factor models: the Stambaugh–Yuan (2017) mispricing factor model, the Daniel et al. (2020) three-factor model, Barillas-Shanken (2018) six-factor model and the Hou et al. (2021) q5-factor model. We find that all factors in these factor models have significantly positive risk premiums and are not explained by the Fama–French six-factor model. Compared to other prevalent models, the q5 model shows the highest maximum Sharpe ratio, mainly due to its profitability and expected growth factors. Further, the q5 model exhibits superior performance in explaining the returns of 97 anomaly portfolios in the Korean market.

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来源期刊
CiteScore
2.60
自引率
20.00%
发文量
36
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