Estimation and Comparative of Dynamic Optimal Hedge Ratios of China Gold Futures Based on ECM-GARCH

Pujiang Chen, Zirong Zhuo and Jixiang Liu

International Journal of Economics and Finance, 2016, vol. 8, issue 3, 236-243

Abstract: In order to avoid the risk of fluctuations in prices, commodity production operators develop future hedge, in which the evaluation of optimal hedge ratios are the core question. On the other hand, since gold plays an increasingly important role in Chinese economic activities, gold hedge becomes a hot topic. We employ gold future prices and spot gold prices in China market in which the time period covered was from January 2014 to June 2015 and calculate the optimal hedge ratios using different static and dynamic models. The static hedge model mainly use Ordinary Least Squares Regression (OLS), Error Correction Model (ECM) and Vector Error Correction Model (VECM) model. In addition, the dynamic hedge model mainly use bivariate GARCH model (BGARCH model). The results show that the efficiency of hedge of ECM-GARCH model is the best over the sample period.

Keywords: gold; hedge ratios; ECM-BGARCH; dynamic model; China (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:ibn:ijefaa:v:8:y:2016:i:3:p:236-243

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