本文利用普通最小二乘法(OLS)、双变量向量自回归(B—VAR)、误差修正(ECM)和广义自回归条件异方差结合误差修正(ECM—GARCH)4个模型和套期保值绩效的衡量指标,对原油期货的套期保值比率和绩效进行实证研究。ECM—GARCH模型确定的最优套期保值比率是动态的,与前三个模型确定的常数套期保值比率有本质的不同。实证表明,ECM—GARCH模型在套期保值效果上有着优异的表现。
This paper estimated the hedge ratios of crude oil futures at four kinds of models: ordinary least square ( OLS), Bivariate - vector autoregression ( B - VAR) , error correction model ( ECM ) and ECM - GARCH model, then compared the hedging performances obtained from different models. The hedge ratios estimated from the ECM - GARCH model is time - varying, this is essentially different from the ones estimated from other models. The findings of this paper indicate that ECM - GARCH model have outstanding hedging performances.