期刊名称：International Journal of Econometrics and Financial Management
印刷版ISSN：2374-2011
电子版ISSN：2374-2038
出版年度：2015
卷号：3
期号：2
页码：64-75
DOI：10.12691/ijefm-3-2-3
语种：English
出版社：Science and Education Publishing
摘要：In this work, our objective is to study the intensity of dependence between six non-energy commodity sectors in a bivariate context. Our methodology is to chose, in a first step, the appropriate copula flowing Akaike criteria. In a second step, we aim to calculate the dependence coefficients (Kendall’s tau, Spearman’s rho and tail dependence) using filtered data by the AR(1)-GARCH(1.1) model to study the dependence between the extreme events. Empirical results show that dependence between non-energy commodity markets increases during volatile periods but they offer many opportunities to investors to diversify their portfolio and reduce their degree of risk aversion in bearish market periods.
