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Extracting Probabilistic Information from the Prices of Interest Rate Options: Tests of Distributional Assumptions Author info | Abstract | Publisher info | Download info | Related research | Statistics Kabir K. Dutta (Federal Reserve Bank of Boston)
David F. Babbel (Wharton School, University of Pennsylvania)
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Return distributions in general and interest rates in particular have been observed to exhibit skewness and kurtosis that cannot be explained by the (log)normal distribution. Using g-and-h distribution we derived a closed-form option pricing formula for pricing European options. We measured its performance using interest rate cap data and compared it with the option prices based on the lognormal, Burr-3, Weibull, and GB2 distributions. We observed that the g-and-h distribution exhibited a high degree of accuracy in pricing options, much better than those other distributions in extracting probabilistic information from the option market.
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Article provided by University of Chicago Press in its journal Journal of Business .
Volume (Year): 78 (2005)
Issue (Month): 3 (May)
Pages: 841-870
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Handle: RePEc:ucp:jnlbus:v:78:y:2005:i:3:p:841-870Contact details of provider: Postal: The University of Chicago Press, Journals Division, P.O. Box 37005 Chicago, IL 60637 Web page: http://www.journals.uchicago.edu/JB/home.html
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Martin, G.M. & Forbes, C.S. & Martin, V.L., 2000.
"Implicit Bayesian Inference Using Option Prices ,"
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Center for Financial Institutions Working Papers
02-25, Wharton School Center for Financial Institutions, University of Pennsylvania.
[Downloadable!]
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