首页> 外文会议>First international conference on technology innovation, risk management and supply chain management (TIRMSCM 2007) >STUDY ON SINGLE FUTURES CONTRACT MARKET RISK EVALUATION SV-CVAR MODEL AND IT’S APPLICATION
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STUDY ON SINGLE FUTURES CONTRACT MARKET RISK EVALUATION SV-CVAR MODEL AND IT’S APPLICATION

机译:期货合约市场风险评估的SV-CVAR模型及其应用研究

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The risk assessment of futures contract is very important to both futures exchange and market trader. Based upon SV model and CVaR, this paper presents the SV-CVaR model of risk assessment of single futures contract. Empirical study suggests that this model is more excellent than GARCH-VaR model in risk assessment of futures contract. The characteristics of this model lie in three aspects. Firstly, it makes use of SV model to forecast the volatility of return, and gives a better depict of the clustering effect, fat tail effect and time-varying variance effect than past model. Secondly, through introducing CVaR to assess futures contract risks, the model resolves the problems that VaR can’t forecast on tail risk, and reduced the probability of risks of default and compelling warehouse risk. Thirdly, MCMC method has been adopted for the estimate of parameters in SV model, and the problems of computing difficulty is solved.
机译:期货合约的风险评估对期货交易所和市场交易者都非常重要。基于SV模型和CVaR,提出了单期货合约风险评估的SV-CVaR模型。实证研究表明,该模型在期货合约风险评估中比GARCH-VaR模型更为出色。该模型的特征在于三个方面。首先,它利用SV模型预测收益率的波动性,与过去的模型相比,可以更好地描述聚类效应,肥尾效应和时变方差效应。其次,通过引入CVaR评估期货合约风险,该模型解决了VaR无法预测尾部风险的问题,并降低了违约风险和引人注目的仓库风险的可能性。第三,采用MCMC方法对SV模型中的参数进行估计,解决了计算难度大的问题。

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