Empirical performance of multifactor term structure models for pricing and hedging Eurodollar futures options
I-Doun Kuo and
Yueh-Neng Lin
Review of Financial Economics, 2009, vol. 18, issue 1, 23-32
Abstract:
This article compares two one-factor, two two-factor, two three-factor models in the HJM class and Black's [Black, F. (1976). The pricing of commodity contracts. Journal of Financial Economics, 3, 167-179.] implied volatility function in terms of their pricing and hedging performance for Eurodollar futures options across strikes and maturities from 1 Jan 2000 to 31 Dec 2002. We find that three-factor models perform the best for 1-day and 1-week prediction, as well as for 5-day and 20-day hedging. The moneyness bias and the maturity bias appear for all models, but the three-factor models produce lower bias. Three-factor models also outperform other models in hedging, in particular for away-from-the-money and long-dated options. Making Black's volatility a square root or exponential function performs similar to one-factor HJM models in pricing, but not in hedging. Correctly specified and calibrated multifactor models are thus important and cannot be replaced by one-factor models in pricing or hedging interest rate contingent claims.
Keywords: Multifactor; HJM; model; Volatility; function; Eurodollar; futures; option (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1058-3300(08)00018-9
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:revfin:v:18:y:2009:i:1:p:23-32
Access Statistics for this article
Review of Financial Economics is currently edited by T. K. Mukherjee and G. Whitney
More articles in Review of Financial Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().