## Abstract When using derivative instruments such as futures to hedge a portfolio of risky assets, the primary objective is to estimate the optimal hedge ratio (OHR). When agents have meanβvariance utility and the futures price follows a martingale, the OHR is equivalent to the minimum variance he
Estimating the optimal hedge ratio with focus information criterion
β Scribed by Donald Lien; Keshab Shrestha
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 122 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0270-7314
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β¦ Synopsis
In recent years, the error-correction model without lags has been used in estimating the minimum-variance hedge ratio. This article proposes the use of the same error-correction model, but with lags in spot and futures returns in estimating the hedge ratio. In choosing the lag structure, use of the Akaike information criterion (AIC) and recently proposed focus information criterion (FIC) by G. Claeskens and N. L. Hjort ( 2003) is suggested. The proposed methods are applied to 24 different futures contracts. Even though the FIC hedge ratio is expected to perform better in terms of mean-squared error, the AIC hedge ratio is found to perform as well as the FIC and better than the simple hedge ratios in terms of hedging effectiveness.
π SIMILAR VOLUMES
## Abstract Suppose that there is an information variable (with error correction variable being a special case) affecting the spot price but not the futures price. The estimated optimal hedge ratio is unbiased but inefficient when this variable is omitted. In addition, the resulting hedging effecti
2Cecchetti, Cumby, and Figlewski (1988) apply ARCH in estimating an optimal futures hedge with Treasury bonds. Baillie and Myers (199 1) and Myers (1991) examine commodity futures and report improvements in hedging performance over the constant hedge approach by following a dynamic strategy based o