## 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
The cost of hedging and the optimal hedge ratio
β Scribed by Charles T. Howard; Louis J. D'Antonio
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 991 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0270-7314
No coin nor oath required. For personal study only.
β¦ Synopsis
Hedging benefits offered by the futures market come at a cost. This article develops a concept of hedging costs, shows how it impacts the hedging decision, and derives an optimal hedge ratio in the context of the cost concept. The hedging cost of using futures is comprised of two components. The first component represents the fixed costs of setting up and managing a hedging program. The second component is the result of spot/futures arbitrage and the fact that the futures contract is an imperfect substitute for a commercial transaction.' It is shown that arbitrageurs drive the expected futures return equal to the spot risk premium. Thus as hedgers take a short futures position, expected return is reduced by the amount of futures shorted times the spot risk premium.
Hedgers can seldom create a perfect hedge due to mismatches between spot and futures delivery dates and contract specifications. Thus, the hedger faces the situation of paying full cost (i.e., reducing expected return by the amount of the fixed costs plus the spot risk premium) while receiving less than the full benefits (i.e., the elimination of all risk). The hedger, therefore, is required to make a risk/return decision since, as will be demonstrated, the marginal cost of hedging
The authors would like to thank Dean Paxson, Bruce Benet, and participants at the Front Range Workshop held at the University of Colorado and the 1992 Financial Management Association meeting for helpful comments. Suggestions made by an anonymous referee for this journal led to significant revisions. All remaining errors are the responsibility of the authors. 'Certain costs are included here in the fixed component. Also, some variable costs are ignored.
For example, transaction costs may be influenced by the size of the hedge, price, and the place at which the hedge is lifted. It is assumed that the simple equation used in this article adequately captures the salient costs of future hedging.
π SIMILAR VOLUMES
A determination of the minimum variance hedging ratio.' The strength of these results is mitigated, however, by two factors: First, the researchers assume (implicitly or explicitly) that the hedger has a quadratic utility function. This is well-known to be a problematic assumption, since quadratic u
## Abstract This study derives optimal hedge ratios with infrequent extreme news events modeled as common jumps in foreign currency spot and futures rates. A dynamic hedging strategy based on a bivariate GARCH model augmented with a common jump component is proposed to manage currency risk. We find
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
## 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 This article analyzes the effects of the length of hedging horizon on the optimal hedge ratio and hedging effectiveness using 9 different hedging horizons and 25 different commodities. We discuss the concept of shortβ and longβrun hedge ratios and propose a technique to simultaneously e