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The impact of investor sentiment for the U.S. stock market based on Fama-French 3-factor model

机译:基于Fama-French 3因素模型的美国股票市场投资者情绪的影响

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摘要

Particularly, it is difficult to accurately measure investor sentiment due to the inherent complexity and dynamic change. This paper tests the impact of investors’ behavior in the U.S. equity market. By using monthly data from February 2014 to December 2018, the impacts of investor sentiment are examined. Besides, Fama-French risk factors are investigated in a new multiple factor asset pricing model. Specifically, the investor sentiment is measured by six-variable composite index. Empirical results indicate that the investor sentiment is a composition of systemic risk. In this case, the Fama-French three factor model with investor sentiment factor can fully explains the return of stocks in the USA stock market. By comparing the trend of investor sentiment and market index, investor sentiment will affect asset pricing and market volatility, i.e., verifies the effectiveness of investor sentiment index in the U.S, stock market.
机译:特别是,由于固有的复杂性和动态变化,难以准确测量投资者情绪。 本文测试了投资者行为在美国股权市场的影响。 通过从2014年2月到2018年12月的月度数据,研究了投资者情绪的影响。 此外,在新的多因素资产定价模型中调查了Fama-Frank危险因素。 具体而言,投资者情绪由六种可变的复合指数测量。 经验结果表明,投资者情绪是全身风险的构成。 在这种情况下,FAMA-French的三个因子模型与投资者情感因素可以充分解释美国股市的股票返回。 通过比较投资者情绪和市场指数的趋势,投资者情绪将影响资产定价和市场波动,即,验证美国,股票市场投资者情绪指数的有效性。

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