非洲前沿股票市场的资产定价

IF 7.5 1区 经济学 Q1 BUSINESS, FINANCE
Bruce Hearn , Venancio Tauringana , Collins Ntim , John K. Malagila , Tapas Mishra
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引用次数: 0

摘要

本文对一系列多因素资产定价模型在解释非洲证券市场股票收益截面方面的功效进行了赛马式比较。使用的估值因素包括规模、账面市值、动量、营业利润、资产增长或投资、流动性和投资者保护。利用非洲 8 个证券市场 375 家蓝筹股公司 23 年来的月度回报,我们对各类增强型 CAPM 模型进行了赛马式比较。我们发现,Fama & French(2015 年)五因子和 Fama & French(2018 年)六因子框架的解释力最高。对股权成本和优化组合机会集的模拟分析表明,不同资产定价模型的对比应用产生了巨大差异,从业人员也承担了巨大差异,这凸显了我们研究的及时性。
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 in African frontier equity markets
This paper undertakes a horse races style comparison of the efficacy of a range of multifactor asset pricing models in explaining the cross section of stock returns in African securities markets. Valuation factors used include size, book-to-market value, momentum, operating profit, asset growth or investment, liquidity and investor protection. Using monthly returns of 375 blue chip firms from 8 African equity markets over 23 years, we undertake a horse-race style comparison of various classes of augmented CAPM models. We show that both the Fama & French (2015) five factor and Fama & French (2018) six factor framework yield the highest explanatory power. Analysis of costs of equity and optimized portfolio opportunity set simulations reveal substantial differences arising and borne by practitioners from the contrasting application of different asset pricing models underscoring the timely importance of our study.
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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