The (De)merits of Minimum-Variance Hedging: Application to the Crack Spread

C. Alexander, Marcel Prokopczuk, Anannit Sumawong
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Abstract

We study the empirical performance of the classical minimum-variance hedging strategy, comparing several econometric models for estimating hedge ratios of crude oil, gasoline and heating oil crack spreads. Given the great variability and large jumps in both spot and futures prices, great care is required when processing the relevant data and accounting for the costs of maintaining and re-balancing the hedge position. We find that the variance reduction produced by all models are statistically and economically indistinguishable from the one-for-one naive hedge. However, minimum-variance hedging models, especially those based on GARCH, generate much greater margin and transaction costs than the naive hedge. Therefore we encourage hedgers to use a naive hedging strategy on the crack spread bundles now offered by the exchange as it is the cheapest and easiest to implement. Our conclusion contradicts the majority of the existing literature, which favours the implementation of GARCH-based hedging strategies.
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最小方差套期保值的优点:在裂缝扩展中的应用
本文研究了经典最小方差套期保值策略的实证性能,比较了几种估计原油、汽油和取暖油裂缝价差套期保值比率的计量模型。鉴于现货和期货价格的巨大变化和大幅跃升,在处理相关数据和计算维持和重新平衡对冲头寸的成本时,需要非常小心。我们发现,所有模型产生的方差减少在统计上和经济上与一对一天真对冲没有区别。然而,最小方差套期保值模型,特别是基于GARCH的最小方差套期保值模型,产生的保证金和交易成本要比单纯套期保值高得多。因此,我们鼓励套期保值者使用一种朴素的套期保值策略,因为它是最便宜和最容易实施的。我们的结论与大多数现有文献相矛盾,这些文献支持基于garch的对冲策略的实施。
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