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The risk management effectiveness of multivariate hedging models in the U.S. soy complex
Author(s) -
Collins Robert A.
Publication year - 2000
Publication title -
journal of futures markets
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.88
H-Index - 55
eISSN - 1096-9934
pISSN - 0270-7314
DOI - 10.1002/(sici)1096-9934(200002)20:2<189::aid-fut5>3.0.co;2-v
Subject(s) - multivariate statistics , portfolio , econometrics , economics , project portfolio management , modern portfolio theory , actuarial science , multivariate analysis , risk management , computer science , financial economics , finance , machine learning , management , project management
Several authors have proposed sophisticated multivariate hedging strategies which use portfolio theory and complex econometric techniques. Practical application of these techniques requires using historical data to make decisions about future hedging portfolios. This paper tests to see if there is enough stationarity in the data for these models to actually provide better hedging strategies in practice. For the soy complex the results are clear. No statistically significant improvement over naive equal and opposite hedges was found for any of the multivariate hedging models. So far, there is no known evidence that any of these methods perform reliably in practice. © 2000 John Wiley & Sons, Inc. Jrl Fut Mark 20:189–204, 2000