英文摘要
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This paper compares the hedging effectiveness of eight commodity futures (including corns, soybeans, soybean oil, wheat, cocoa, coffee, cotton, and sugar) based on the hedge ratios estimated from the conventional ordinary least squares (OLS) method, the rollover OLS method, the constant conditional correlation (CCC) model, and the dynamic conditional correlation (DCC) model. In the framework of minimizing hedging portfolio variances, we find that the hedging strategy of the DCC model, which explicitly considers heteroscedasticity and time-varying correlations between the spot and futures returns, outperforms the others in this study.
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