贝塔风险——投资者学习与前景理论

D. Baur, Niels Schulze
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引用次数: 4

摘要

投资者在下跌的市场和上涨的市场表现出不同的行为。本文证明了个股的贝塔系数在整个收益分布中是不同的,并且这种变化取决于收益的频率。虽然极端日收益呈对称u型增长,但对于周和月数据的极端负收益,存在不对称效应,贝塔值增加。我们使用了1979年至2009年期间EUROSTOXX600指数的所有成分股,并估计了该指数对不同公司特定回报制度的成分股的影响。通过投资者对每日和每周数据的学习以及对月度数据的前景理论,解释了系统风险对个股的制度依赖作用。结果表明,如果使用条件手段,忽略制度的存在,股票的风险可能被显著低估或高估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Risk of Beta – Investor Learning and Prospect Theory
Investors show different behaviour in falling markets and in rising markets. This paper demonstrates that the beta of individual stocks varies across the entire return distribution and that the variation depends on the frequency of the returns. While there is a symmetric u-shape increase for extreme daily returns, there is an asymmetric effect with an increased beta for extreme negative returns for weekly and monthly data. We use all constituents of the EUROSTOXX600 index over the period of 1979 until 2009, and estimate the impact of the index on the constituents for different firm-specific return regimes. The regime-dependent role of systematic risks on individual stocks is explained with investor learning for daily and weekly data and prospect theory for monthly data. The results demonstrate that the risk of a stock can be underestimated or overestimated significantly if conditional means are used and the existence of regimes is ignored.
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