Title :
Research on Real Futures Dynamic Hedging Based on S-GARCH Model
Author :
Zhou, Ying ; Wu, Huishuo
Author_Institution :
Sch. of Manage., Dalian Univ. of Technol., Dalian, China
Abstract :
The key point of hedging is determination of hedge ratio. The existing hedging researches emphasize particularly on static hedging, which can´t effectively reflect the time-varying characteristic of market risk, thus cause hedge effect distortion. The main innovation is establishing a much simpler S-GARCH model to estimate the dynamic hedge ratio. There are three idiographic characteristics. Firstly it dynamically estimates the futures and spot combination´s volatility, and primely portrays the time-varying variance effect of the futures and spot´s price volatility, and enhances the hedge ratio´s precision. Secondary the proposed S-GARCH model uses GARCH (1,1) model to estimate the variance-covariance matrix, so that it is considerably easier to estimate than existing multivariate GARCH models and does not suffer from the computationally burdensome problem. Thirdly the demonstration indicated that, this model´s validity was higher than the popular existing models.
Keywords :
autoregressive processes; commerce; covariance matrices; S-GARCH model; dynamic hedge ratio; futures dynamic hedging; hedge effect distortion; idiographic characteristics; market risk; spot price volatility; static hedging; time-varying characteristic; time-varying variance effect; variance-covariance matrix; Costs; Covariance matrix; History; Investments; Least squares methods; Reactive power; Technological innovation; Technology management;
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
DOI :
10.1109/ICMSS.2009.5302845