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金融市场尾部风险度量与跨市场风险溢出效应研究
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作者 薛成圆 齐祥芹 《天津商务职业学院学报》 2023年第6期27-40,共14页
自2008年全球金融危机后,极端事件引发的尾部风险以及跨市场风险溢出带来的危害受到多方关注。本文以VaR、CVaR模型为基础来度量我国金融市场的尾部风险。结果表明我国金融市场的金融风险变化方向一致,即单个市场发生的极端事件会导致... 自2008年全球金融危机后,极端事件引发的尾部风险以及跨市场风险溢出带来的危害受到多方关注。本文以VaR、CVaR模型为基础来度量我国金融市场的尾部风险。结果表明我国金融市场的金融风险变化方向一致,即单个市场发生的极端事件会导致其他市场产生相同方向的风险。通过进一步利用广义预测误差方差分解方法对金融市场之间的金融风险溢出效应进行测度,发现我国金融市场之间存在显著的风险溢出效应,其中股票市场是最主要的风险发送者,其余债券市场、金融衍生品市场、商品市场和外汇市场均为风险接收者。 展开更多
关键词 金融市场 尾部风险 风险溢出 Diebold and yilmaz模型
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Dynamic spillovers between the term structure of interest rates,bitcoin,and safe‑haven currencies 被引量:4
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作者 David Y.Aharon Zaghum Umar Xuan Vinh Vo 《Financial Innovation》 2021年第1期1334-1358,共25页
This study examines the connectedness between the US yield curve components(i.e.,level,slope,and curvature),exchange rates,and the historical volatility of the exchange rates of the main safe-haven fiat currencies(Can... This study examines the connectedness between the US yield curve components(i.e.,level,slope,and curvature),exchange rates,and the historical volatility of the exchange rates of the main safe-haven fiat currencies(Canada,Switzerland,EURO,Japan,and the UK)and the leading cryptocurrency,the Bitcoin.Results of the static analysis show that the level and slope of the yield curve are net transmitters of shocks to both the exchange rate and its volatility.The exchange rate of the Euro and the volatility of the Euro and the Canadian dollar exchange rate are net transmitters of shocks.Meanwhile,the curvature of the yield curve and the Japanese Yen,Swiss Franc,and British Pound act mainly as net receivers.Our static connectedness analysis shows that Bitcoin is mainly independent of shocks from the yield curve’s level,slope,and curvature,and from any main currency investigated.These findings hint that Bitcoin might provide hedging benefits.However,similar to the static analysis,our dynamic analysis shows that during different periods and particularly in stressful times,Bitcoin is far from being isolated from other currencies or the yield curve components.The dynamic analysis allows us to observe Bitcoin’s connectedness in times of stress.Evidence supporting this contention is the substantially increased connectedness due to policy shocks,political uncertainty,and systemic crisis,implying no empirical support for Bitcoin’s safe-haven property during stress times.The increased connectedness in the dynamic analysis compared with the static approach implies that in normal times and especially in stressful times,Bitcoin has the property of a diversifier.The results may have important implications for investors and policymakers regarding their risk monitoring and their assets allocation and investment strategies. 展开更多
关键词 Bitcoin Term structure slope CURVATURE Diebold and yilmaz Connectedness Cryptocurrency FOREX CURRENCIES Safe haven
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