It is important to consider the changing states in hedging.The Markov regime-switching dynamic correlation multivariate stochastic volatility( MRS-DC-MSV) model was proposed to solve this issue. DC-MSV model and MRS-D...It is important to consider the changing states in hedging.The Markov regime-switching dynamic correlation multivariate stochastic volatility( MRS-DC-MSV) model was proposed to solve this issue. DC-MSV model and MRS-DC-MSV model were used to calculate the time-varying hedging ratios and compare the hedging performance. The Markov chain Monte Carlo( MCMC) method was used to estimate the parameters. The results showed that,there were obviously two economic states in Chinese financial market. Two models all did well in hedging,but the performance of MRS-DCMSV model was better. It could reduce risk by nearly 90%. Thus,in the hedging period,changing states is a factor that cannot be neglected.展开更多
在套期保值的理论和实务中,最优套期保值比率的估计其核心问题。在估计最优套期保值比率的众多方法中,Kroner and Sultan(1993)的ECM-GARCH模型将协整关系和时变方差结合起来,产生了较好的套期保值效果。本文结合中国期货及现货市场的特...在套期保值的理论和实务中,最优套期保值比率的估计其核心问题。在估计最优套期保值比率的众多方法中,Kroner and Sultan(1993)的ECM-GARCH模型将协整关系和时变方差结合起来,产生了较好的套期保值效果。本文结合中国期货及现货市场的特点,在Kroner and Sultan(1993)方法的基础上发展了一个修正的ECM-GARCH模型,并运用该模型、Bivariate GARCH及Kroner and Sultan(1993)的ECM-GARCH对中国铜期货市场的动态最优套期保值比率进行了对比研究,结果表明:在中国铜期货市场,基于修正的ECM-GARCH模型的套期保值效果比基于BGARCH模型及Kroner and Sultan(1993)的ECM-GARCH模型套期保值效果好得多,相对于BGARCH模型和Kroner and Sultan(1993)的ECM-GARCH模型,Modified ECM-GARCH模型套期保值的风险分别减少93.6%和92%。展开更多
本文以满足一致性风险度量准则的CV aR为套保目标函数,采取从期货到期权的两步法估计期权动态最优套保比率,建立了基于尾部风险管理的期权动态套保模型,并以沪深300指数系列衍生品为样本开展了实证分析和稳健性检验。研究表明:(1)通过...本文以满足一致性风险度量准则的CV aR为套保目标函数,采取从期货到期权的两步法估计期权动态最优套保比率,建立了基于尾部风险管理的期权动态套保模型,并以沪深300指数系列衍生品为样本开展了实证分析和稳健性检验。研究表明:(1)通过两步法建立的期权套保模型估计出的期权最优套保比率,既充分反映了衍生品市场与现货市场的动态相依关系,又有效克服了期权价格在不同到期阶段受标的资产价格之外因素的影响;(2)实证结果显示,不管沪深300E T F价格处于上涨周期还是下跌周期,期权动态套保效果均优于期货动态套保,充分体现了期权非线性特点在尾部风险管理中的优势;(3)策略选择上,在市场大幅波动背景下,多行权价期权组合套保效果优于单一行权价期权套保;(4)较宽的调仓阈值设置在市场涨跌幅较大时套保效果更显著。展开更多
基金National Natural Science Foundation of China(No.71401144)
文摘It is important to consider the changing states in hedging.The Markov regime-switching dynamic correlation multivariate stochastic volatility( MRS-DC-MSV) model was proposed to solve this issue. DC-MSV model and MRS-DC-MSV model were used to calculate the time-varying hedging ratios and compare the hedging performance. The Markov chain Monte Carlo( MCMC) method was used to estimate the parameters. The results showed that,there were obviously two economic states in Chinese financial market. Two models all did well in hedging,but the performance of MRS-DCMSV model was better. It could reduce risk by nearly 90%. Thus,in the hedging period,changing states is a factor that cannot be neglected.
文摘在套期保值的理论和实务中,最优套期保值比率的估计其核心问题。在估计最优套期保值比率的众多方法中,Kroner and Sultan(1993)的ECM-GARCH模型将协整关系和时变方差结合起来,产生了较好的套期保值效果。本文结合中国期货及现货市场的特点,在Kroner and Sultan(1993)方法的基础上发展了一个修正的ECM-GARCH模型,并运用该模型、Bivariate GARCH及Kroner and Sultan(1993)的ECM-GARCH对中国铜期货市场的动态最优套期保值比率进行了对比研究,结果表明:在中国铜期货市场,基于修正的ECM-GARCH模型的套期保值效果比基于BGARCH模型及Kroner and Sultan(1993)的ECM-GARCH模型套期保值效果好得多,相对于BGARCH模型和Kroner and Sultan(1993)的ECM-GARCH模型,Modified ECM-GARCH模型套期保值的风险分别减少93.6%和92%。
文摘本文以满足一致性风险度量准则的CV aR为套保目标函数,采取从期货到期权的两步法估计期权动态最优套保比率,建立了基于尾部风险管理的期权动态套保模型,并以沪深300指数系列衍生品为样本开展了实证分析和稳健性检验。研究表明:(1)通过两步法建立的期权套保模型估计出的期权最优套保比率,既充分反映了衍生品市场与现货市场的动态相依关系,又有效克服了期权价格在不同到期阶段受标的资产价格之外因素的影响;(2)实证结果显示,不管沪深300E T F价格处于上涨周期还是下跌周期,期权动态套保效果均优于期货动态套保,充分体现了期权非线性特点在尾部风险管理中的优势;(3)策略选择上,在市场大幅波动背景下,多行权价期权组合套保效果优于单一行权价期权套保;(4)较宽的调仓阈值设置在市场涨跌幅较大时套保效果更显著。
