## 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
A semiparametric estimation of the optimal hedge ratio
β Scribed by Chunrong Ai; Arjun Chatrath; Frank Song
- Book ID
- 113871529
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 168 KB
- Volume
- 47
- Category
- Article
- ISSN
- 1062-9769
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## ABSTRACT This paper examines the importance of forecasting higher moments for optimal hedge ratio estimation. To this end, autoregressive conditional density (ARCD) models are employed which allow for time variation in variance, skewness and kurtosis. The performance of ARCD models is evaluated
## 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
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
n practice, commodity hedgers are faced with a fundamental question: what ratio 'However, despite the differences in the estimated hedge ratios, the returns to the hedge portfolios are not significantly different. This occurs despite the greater variability in the return to the portfolio based on th