NONPARAMETRIC KERNEL ESTIMATION OF MULTIPLE HEDGE RATIOS

MinKyoung Kim and Raymond M. Leuthold

No 21737, 2000 Annual meeting, July 30-August 2, Tampa, FL from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: It is possible for the traditional hedge ratio estimation to produce erroneous guidance to risk managers because of the restrictive assumptions. This study adopts nonparametric locally polynomial kernel estimation to exclude the assumptions. Results from the hog complex find that hedge ratios estimated by local polynomial kernel regression outperform naïve and GARCH models. Because of the potential assumption violations associated with the estimation and implementation of hedge ratios by GARCH models, LPK is a reasonable alternative for estimating hedge ratios to manage price risks.

Keywords: Marketing; Research Methods/ Statistical Methods; Risk and Uncertainty (search for similar items in EconPapers)
Pages: 23
Date: 2000
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea00:21737

DOI: 10.22004/ag.econ.21737

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