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A Markov Copula Model with Regime Switching and Its Application
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作者 Xue LIANG 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2016年第1期163-174,共12页
Regime switching,which is described by a Markov chain,is introduced in a Markov copula model.We prove that the marginals(X,H^i),i = 1,2,3 of the Markov copula model(X,H) are still Markov processes and have marting... Regime switching,which is described by a Markov chain,is introduced in a Markov copula model.We prove that the marginals(X,H^i),i = 1,2,3 of the Markov copula model(X,H) are still Markov processes and have martingale property.In this proposed model,a pricing formula of credit default swap(CDS) with bilateral counterparty risk is derived. 展开更多
关键词 Markov copula model regime switching Markov chain credit default swap bilateral counterparty risk
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Liquidity of China’s government bond market: Measures and driving forces
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作者 Gaofeng Han Hui Miao Yabin Wang 《Economic and Political Studies》 2023年第1期99-122,共24页
We construct a daily liquidity index of China’s government bond market using transaction data from the national interbank market during 2001–2020.The index is a composite of popular price-based and quantity-based me... We construct a daily liquidity index of China’s government bond market using transaction data from the national interbank market during 2001–2020.The index is a composite of popular price-based and quantity-based metrics of liquidity.The composite indices,ob-tained by averaging across different metrics and by applying the principal component analysis,respectively,both point to a better liquidity condition after 2010.Market liquidity swings appear to be highly correlated with domestic funding liquidity and financial mar-ket volatility,but display fewer correlations with global macrofinan-cial indicators.Our findings suggest that the further deepening of the government bond market would support domestic financial stability and monetary operations down the road. 展开更多
关键词 Government bond bond liquidity principal component analysis regime switching model
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