On Univariate and Multivariate GARCH Models: Oil Price and Stock Market Returns Volatilities

Amin Guerouah, Halim zeghdoudi, Fatima Zohra Bouseba
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引用次数: 2

Abstract

This paper investigates the empirical properties of oil price and Stock market return volatilities using a range of univariate and multivariate GARCH models and monthly data from the U.S. The study relates the period August 1987 to October 2016, a total of 351 observations given. The aim of this paper is to examine the relationship between stock and oil markets. In addition, we evaluate the performance of each model with a range of diagnostic and forecast performance tests using univariate GARCH(1,1) and bivariate BEKK GARCH(1,1) , DCC GARCH(1,1) models.
单变量和多变量GARCH模型:石油价格和股票市场收益波动
本文利用一系列单变量和多变量GARCH模型以及来自美国的月度数据,研究了油价和股市回报波动的经验属性。研究涉及1987年8月至2016年10月期间,总共给出了351个观察值。本文的目的是研究股票和石油市场之间的关系。此外,我们使用单变量GARCH(1,1)和双变量BEKK GARCH(1,1), DCC GARCH(1,1)模型,通过一系列诊断和预测性能测试来评估每个模型的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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