基于下行风险套利定价理论的资产定价:来自巴基斯坦证券交易所的经验证据

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摘要

本文通过将经济金融因素对股票收益的下行风险溢出效应纳入到多因素资产定价模型中,拓展了下行风险的应用。我们通过将基于方差的贝塔替换为基于半方差的下行贝塔来放大传统的APT模型,从而更好地捕捉不同市场条件下的风险波动。在增广资产定价模型中纳入基于半方差和半异化方法的下行风险贝塔,相对于传统APT因素模型的局限性和局限性,在理论和方法上都有所改进。将均值-方差假设替换为均值-半方差假设和股票收益分布的不对称行为,从经验上建议使用替代因子模型。该模型基于新兴市场资产定价的下行风险溢价。本研究基于1997 - 2017年PSX上市公司的超额月度股票收益,并观察了具有溢出三角效应的经济、金融和全球因素,检验了下行风险-收益关系。研究结果表明,具有无条件线性因子定价约束的增强型DR-APT模型在研究目标期内是不可抛弃的。在增强型DR-APT模型中,除出口外所选取的观察定价因子对于证券收益的定价具有显著性。面板回归、似然比检验和f检验的结果证实,与传统的APT模型相比,DR-APT模型在波动情况下是一个更好的股票回报定价模型。我们的研究结果与基于均值半方差假设的下行风险回报框架一致,并对资产评估、资本成本估算、投资组合构建和投资分析决策中包含下行风险的管理者和决策市场具有启示意义。关键词:下行风险,半方差,半协方差,下行贝塔,基于下行风险的套利定价理论(DR-APT)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asset Pricing Through Downside Risk Based Arbitrage Pricing Theory: Empirical Evidence from Pakistan Stock Exchange
This study extends the downside risk applications in multifactor asset pricing model by incorporating the downside risk spillovers from economic and financial factors to stock returns. We amplify the conventional APT model by replacing the variance-based betas with semivariance based downside betas that better capture the risk volatilities in varying market conditions. The inclusion of downside risk betas based on semivariance and semideviation methods in the augmented asset pricing model improves both the theoretical and methodological applications relative to the limitations and restriction of conventional APT factors model. The mean-variance hypothesis replaced by meansemivariance hypothesis and asymmetric behaviour of stock returns distribution, empirically suggest the use of an alternative factors model. The models based on downside risk premia for asset pricing in emerging markets. The study tested the downside risk-return relationship based on the excess monthly stock returns of listed PSX firms and observed economic, financial and global factors representing spillover triangulation from 1997 to 2017. The findings of the study indicate that the augmented DR-APT model with pricing restrictions of unconditional linear factors method could not be deserted over the targeted period of study. The selected observed pricing factors except exports are significant enough for pricing the security returns in the augmented DR-APT Model. Findings of the panel regression, likelihood ratio tests and F-test corroborate DR-APT as a better model to price stock returns in volatile situations compare to conventional APT model. Our findings are consistent with the downside risk-return framework based on mean semi variance hypothesis and have implications for managers and decision markets that incorporate downside risk in asset valuation, cost of capital estimations, portfolio construction and investment analysis decisions. Key Words: Downside Risk, Semi variance, Semi covariance, Downside Beta, Downside risk-based Arbitrage Pricing Theory (DR-APT).
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