收益和方差的性质及其对时间序列模型的影响:来自南非的证据

Modern Finance Pub Date : 2023-08-11 DOI:10.61351/mf.v1i1.8
J. Szczygielski, Chimwemwe Chipeta
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引用次数: 2

摘要

本文研究了南非股票收益的性质及其潜在方差。利用无模型方法和ARCH/GARCH模型的应用,对股票收益的性质和收益背后的方差行为进行了调查。结果表明,与其他股票市场一样,南非股票市场的回报偏离常态,方差显示出异方差、长记忆、持久性和不对称性的证据。应用EGARCH(p,q,m)和IGARCH(p,q)规范证实了这些发现,这些模型的应用表明南非股票市场差异结构的不同特征。根据与股票收益的性质和方差的特征及其结构有关的调查结果,概述了影响,并就如何估计时间序列规格提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Properties of returns and variance and the implications for time series modelling: Evidence from South Africa
This paper investigates the properties of South African stock returns and the underlying variance. The investigation into the properties of stock returns and the behaviour of the variance underlying returns is undertaken using model-free approaches and through the application of ARCH/GARCH models. The results indicate that, as with other stock markets, returns on the South African stock market depart from normality and that variance displays evidence of heteroscedasticity, long memory, persistence, and asymmetry. Applying the EGARCH(p,q,m) and IGARCH(p,q) specifications confirms these findings and the application of these models suggests differing characteristics for variance structures underlying the South African stock market. In light of the findings relating to the properties of stock returns and the characteristics of variance and its structure, implications are outlined, and recommendations on how time-series specifications may be estimated are made.
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