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Dependence structure between the BRICS foreign exchange and stock markets using the dependence-switching copula approach

机译:使用依赖性切换卷曲方法,金砖外汇和股票市场之间的依赖结构

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We examine the dependence structure between the BRICS stock and foreign exchange markets using a dependence-switching copula model. In particular, we examine dependence and tail dependence for four different market conditions, namely rising stock-appreciating currency, falling stock-depreciating currency, rising stock-depreciating currency and falling stock-appreciating currency. Our results indicate that dependence and tail dependence in the four market conditions are symmetric for all countries except Russia during negative correlation regimes. During positive correlation regimes, dependencies generally asymmetric but tail dependence is symmetric for all countries. The results further suggest the dominance of return chasing effects for India, Brazil and South Africa, and portfolio rebalancing effects for China and Russia most of the time. We further show that the co-dependencies computed using R-vine copulas are best suited to compute the portfolio VaR during the considered time period.
机译:我们使用依赖性切换Copula模型检查金砖公司和外汇市场之间的依赖结构。特别是,我们研究了四个不同的市场条件的依赖和尾依赖性,即股票升值货币,下降的股票贬值货币,上升的库存贬值货币和下降的股票升值货币。我们的结果表明,除俄罗斯的负相关制度外,四个市场条件的依赖性和尾部依赖是对称的。在正相关制度期间,依赖性通常是不对称的,但尾随依赖是所有国家的对称。结果进一步介绍了印度,巴西和南非返回追逐效应的主导地位,以及大多数时候对中国和俄罗斯的投资组合重新平衡效应。我们进一步表明,使用R-VINE Copulas计算的共同依赖性最适合在考虑的时间段期间计算POSTFOLIO VAR。

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