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Dependence structure between index stock market and bitcoin using time-varying copula and extreme value theory

机译:索引股票市场与比特币之间的依赖结构,使用时变谱和极值理论

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Dependence structure between financial assets plays an important role in risk management. This research investigates the dependence pattern between the stock market and the potential of cryptocurrency. We employed time- varying copula and Extreme Value Theory (EVT) to model the extreme dependence between the United States (US) index stock market (S&P500) and Bitcoin. Empirical results show risk diversification for holdings of the S&P500 and Bitcoin during extreme events seem to be effective. This paper contributes to a better understanding of the dependence structure of the financial market during extreme events. This information is useful for investors who are seeking for the cross-market diversification.
机译:金融资产之间的依赖结构在风险管理中发挥着重要作用。 本研究调查了股票市场与加密货币潜力之间的依赖模式。 我们采用了时代的copula和极值理论(EVT)来模拟美国(美国)指数股票市场(S&P500)和比特币之间的极端依赖。 经验结果显示了S&P500和比特币在极端事件中持有的风险多样化似乎是有效的。 本文有助于更好地了解极端事件期间金融市场的依赖结构。 这些信息对寻求交叉市场多样化的投资者有用。

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