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

机译:股指期货的最佳套期保值率: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:股指期货的主要职能之一是套期保值.Hedgers可以使用期货合约来减少或转移风险管理价格波动的风险。基于传统的计算最优套期保值比率的方式,本文采取了Copula方法和KENDALL的τ等级相关参数来计算与尾部相关的相关性以捕获金融时序系列的某些非线性特征,例如重型分布和异常值的聚类。我们实现了与KOSPI200库存数据进行实证研究的实证研究韩国的指数期货和实证测试表明,通过引入非线性相关系数来提高对冲性能。

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