摘要
本文以中国燃料油期货及现货数据为例,介绍了中国能源市场中对冲实践的一系列流程:从理论框架、模型选择、数据检验、对冲期限到对冲有效性检验。本文遵循该流程,对比了基于最小方差和效用最大化两类理论框架下的四类模型(OLS、VAR和两类不同的误差修正向量GARCH模型)。实证研究发现:(1)对冲效果与对冲期限呈现先上升后下降的倒U型关系;(2)在效用最大化理论框架下,采用基于向量的GARCH模型和15天动态对冲策略的投资组合对冲后修正夏普比率高达2.95,提升风险收益比的效果十分显著。
This paper introduces the protocol of hedging practice in China's energy future market with Chinese fu- el oil future and spot data set as the example. The protocol includes the selection of theories and models, data diagno- sis, hedging periods and its effectiveness. This paper compares four models, namely, OLS, VAR, VECM-GARCH and dynamic OLS through both variance-reduction and mean-variance utility maximization approaches. The empirical study finds that firstly, the effectiveness of hedging strategies has shown an inverted U shape with the hedging hori- zons. Secondly, by using a dynamic strategy of 15 days' time horizon with VECM-GARCH model under the ap- proach of utility maximization, the portfolio can reach a revised Sharpe ratio of 2.95. The improvement of risk/reward ratio is quite remarkable.
出处
《金融发展研究》
2013年第12期25-29,共5页
Journal Of Financial Development Research
基金
暨南大学"中央高校基本科研业务费专项资金"
"2012年度江苏省社科基金一般项目基金"(12EYB006)资助
关键词
对冲
能源期货
动态模型
效用最大化
hedging, energy futures, dynamic model, utility maximization