The Multifactor Nature of the Volatility of the Eurodollar Futures Market
Carl Chiarella and
Thuy-Duong To
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Thuy-Duong To: School of Banking and Finance, University of NSW
No 150, Research Paper Series from Quantitative Finance Research Centre, University of Technology, Sydney
Abstract:
This paper seeks to estimate a multifactor volatility model so as to describe the dynamics of interest rate markets, using data from the highly liquid but short term futures markets. The difficult problem of estimating such multifactor models is resolved by using a genetic algorithm to carry out the optimization procedure. The ability to successfully estimate a multifactor volatility model also eliminates the need to include a jump component, the existence of which would create difficulties in the practical use of interest rate models, such as pricing options or producing forecasts.
Keywords: term structure; volatility; mutlifactor; jump; eurodollar futures; genetic algorithm (search for similar items in EconPapers)
JEL-codes: C51 C61 E43 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2005-01-01
New Economics Papers: this item is included in nep-ets, nep-fin and nep-mac
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Citations: View citations in EconPapers (1)
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https://www.uts.edu.au/sites/default/files/qfr-archive-02/QFR-rp150.pdf (application/pdf)
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Persistent link: https://EconPapers.repec.org/RePEc:uts:rpaper:150
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