2005
DOI: 10.1002/fut.20163
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Derivative pricing model and time-series approaches to hedging: A comparison

Abstract: This research compares derivative pricing model and statistical time-series approaches to hedging. The finance literature stresses the former approach, while the applied economics literature has focused on the latter. We compare the out-of-sample hedging effectiveness of the two approaches when hedging commodity price risk using futures contracts. For various methods of parameter estimation and inference, we find that the derivative pricing models cannot out-perform a vector error-correction model with a GARCH… Show more

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Cited by 9 publications
(1 citation statement)
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“…On the other hand, that part of OHR literature which is closer to applied economics has stressed the importance of time-series techniques. Recently, Bryant and Haigh (2005) have compared the two approaches using NYMEX crude oil spot and futures prices, concluding that the latter technique exhibits a superior hedging performance.…”
Section: Review Of the Existing Literaturementioning
confidence: 99%
“…On the other hand, that part of OHR literature which is closer to applied economics has stressed the importance of time-series techniques. Recently, Bryant and Haigh (2005) have compared the two approaches using NYMEX crude oil spot and futures prices, concluding that the latter technique exhibits a superior hedging performance.…”
Section: Review Of the Existing Literaturementioning
confidence: 99%