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COMPARATIVE STUDY ON THE MODELS OF OPTIMAL HEDGE RATIO WITH APPLICATIONS TO CHINESE FUEL FUTURES

机译:最优套期保值比率模型在燃料期货中的比较研究

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This paper investigates the problem of optimal hedge ratio and hedge efficiency of Chinese fuel futures. For this we use the data of Chinese fuel futures prices and spot prices to examine the performance of various models for hedge ratios, such as traditional regression model, VAR, EC, CC GARCH, and EC-GARCH model. We find that the latter four models provide better hedge efficiency than traditional regression model. VAR slightly improves the hedge performance. EC and CC GARCH models deduce the hedged portfolio risk by 10%. EC-GARCH model brings out the best hedge efficiency of 0.8524. Consequently, hedge strategies constructed from EC-GARCH model can significantly deduce the variance of the hedged portfolio and evade the price risk.
机译:本文研究了中国燃料期货的最优套期保值比率和套期效率问题。为此,我们使用中国燃料期货价格和现货价格的数据来检验各种套期保值率模型的性能,例如传统回归模型,VAR,EC,CC GARCH和EC-GARCH模型。我们发现,后四种模型比传统的回归模型提供更好的对冲效率。 VAR略微提高了对冲性能。 EC和CC GARCH模型将对冲的投资组合风险降低了10%。 EC-GARCH模型可得出0.8524的最佳对冲效率。因此,从EC-GARCH模型构建的对冲策略可以显着推导对冲投资组合的方差并规避价格风险。

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