α和特殊波动率

IF 2.1 2区 经济学 Q2 BUSINESS, FINANCE Journal of Financial Markets Pub Date : 2022-11-01 DOI:10.1016/j.finmar.2022.100720
Percy Poon , Tong Yao , Andrew (Jianzhong) Zhang
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引用次数: 0

摘要

我们发现,在长视界和短视界,特殊波动率(IVOL)异常与β异常之间的关系有很大的不同。在短期内,这两种异常都不能完全解释另一种。在长视界,ivol - α关系可以用β - α关系来解释。投资行业普遍使用的一种对特殊波动率的长窗口估计方法,在预测收益和α方面表现得更像β,而不是IVOL。我们的研究结果表明,短期和长期低风险效应是不同的,需要不同的解释。
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The alphas of beta and idiosyncratic volatility

We find that the relation between the idiosyncratic volatility (IVOL) anomaly and the beta anomaly is quite different at long horizons than at short horizons. At short horizons, neither anomaly can fully explain the other. At long horizons, the IVOL-alpha relation is explained by the beta-alpha relation. A long-window estimate of idiosyncratic volatility measure popularly used by the investment industry behaves more like beta than IVOL in predicting returns and alphas. Our findings suggest that the short-horizon and long-horizon low-risk effects are different and warrant different explanations.

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来源期刊
Journal of Financial Markets
Journal of Financial Markets BUSINESS, FINANCE-
CiteScore
3.40
自引率
3.60%
发文量
64
期刊介绍: The Journal of Financial Markets publishes high quality original research on applied and theoretical issues related to securities trading and pricing. Area of coverage includes the analysis and design of trading mechanisms, optimal order placement strategies, the role of information in securities markets, financial intermediation as it relates to securities investments - for example, the structure of brokerage and mutual fund industries, and analyses of short and long run horizon price behaviour. The journal strives to maintain a balance between theoretical and empirical work, and aims to provide prompt and constructive reviews to paper submitters.
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