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The Optimal Hedge Ratio of Stock Index Futures :An Empirical Analysis Based on Copula-GARCH Model

机译:股指期货的最佳对冲比率:基于Copula-GARCH模型的实证分析

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One of the main functions of the stock index futures is hedging.Hedgers can use futures contracts to reduce or shift the risk of price fluctuation for risk management.Based on the traditional way of calculating the optimal hedge ratio,this paper resorted to copula approach and Kendall's τ rank correlation parameter to calculate the tail-related correlation in order to capture certain nonlinear features of financial time-series such as heavy-tailed distributions and clustering of outliers.We implement this method to do an empirical study with the data of KOSPI200 stock index futures in South Korea and the empirical tests show that the hedge performance has been improved by introducing the nonlinear correlation coefficient.
机译:股指期货的主要功能之一是套期保值。套期保值者可以使用期货合约来减少或转移价格波动风险以进行风险管理。在传统的计算最优套期保值比率的方法的基础上,本文采用了copula方法和肯德尔(Kendall)的τ秩相关参数可计算与尾部相关的相关性,以捕获金融时间序列的某些非线性特征,例如重尾分布和离群值聚类。我们采用此方法对KOSPI200股票数据进行实证研究韩国指数期货和经验检验表明,引入非线性相关系数可以改善套期保值性能。

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