下行风险对预期收益的影响:来自新兴经济体的证据

H. Raza, Arshad Hasan, A. Rashid
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引用次数: 2

摘要

本文研究了经下行风险调整后的CAPM与传统CAPM的比较关系。传统CAPM的前提是期望收益是基于系统风险的发生率(beta),假设发达和新兴股票市场的系统风险发生率是同质的。然而,实证结果并不符合这一假设,因为基本的风险和回报关系恰好是负的,在新兴市场的情况下不显著。这可能是由于新兴股票市场的独特特征(即高波动性,低流动性和较少的历史数据可用性)。为了解决上述问题,程度文献支持对新兴市场使用半方差方法(SV-M),而不是均值方差(M-V)方法。因此,本研究参考了Fama和Macbeth(1973)的方法,该方法应用于2000年6月至2018年6月的月度数据。结果表明,风险(下行和传统贝塔)与预期收益呈正相关。此外,研究结果还表明,下行风险比传统的beta具有更大的显著性和解释力。因此,根据上述发现,研究建议使用半方差方法计算新兴经济体的预期回报。然而,两种方法中残差和贝塔平方项的重要性清楚地表明,在得出可能的风险和回报关系时,需要调整和纳入更多的风险因素,以及非线性元素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Downside Risk on Expected Return: Evidence from Emerging Economies
This paper investigates the comparative relationship between the downside risk adjusted CAPM and traditional CAPM. The premise of the traditional CAPM is that the expected return is based on the incidence of systematic risk (beta), which has been assumed to be homogenous for both the developed, and the emerging stock markets. However, empirical results are not aligned with this assumption, as the basic risk and return relationship happens to be negative, and insignificant in the case of emerging markets. This may be due to the emerging stock markets’ distinct characteristics (i.e. high volatility, low liquidity, and less availability of historical data). To deal with the said issue, extent literature supports the use of the semi-variance methodology (SV-M) for emerging markets, instead of the mean-variance (M-V) method. Therefore, this study referred to the Fama and Macbeth (1973) methodology that was applied over monthly data ranging from June, 2000 to June, 2018. Results indicate that there is a positive relationship between the risks (downside and traditional beta) and the expected return. Moreover, results also reveal that downside risk has more significance and explanatory power as compared to the traditional beta. Hence, as per the above findings, the study suggests using the semi-variance methodology for the calculation of the expected returns in emerging economies. However, the significance of the residuals, and beta square terms in both methodologies clearly indicate that there is a need to adjust and incorporate more risk factors, as well as an element of non-linearity while arriving at a probable risk and return relationship.
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