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Pricing caps with HJM models: the benefits of humped volatility Author info | Abstract | Publisher info | Download info | Related research | Statistics Jury Falini ()
In this paper we compare different multifactor HJM models with humped volatility structures, to each other and to models with strictly decreasing volatility. All the models are estimated on Euribor and swap rates panel data. We develop the analysis in two steps: first we study the in-sample properties of the estimated models, then we study the pricing performance on caps. We find the humped volatility specification to greatly improve the model estimation and to provide sufficiently accurate cap prices, although the models has been calibrated on interest rates data and not on cap prices. Moreover we find the two factor humped volatility model to outperform the three factor models in pricing caps
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Paper provided by Department of Economics, University of Siena in its series Department of Economics University of Siena with number
563.
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Date of creation: Aug 2009Date of revision:
Handle: RePEc:usi:wpaper:563Contact details of provider: Postal: Piazza S.Francesco,7 - 53100 Siena Phone: (39)(0577)298645 Fax: (39)(0577)298661 Email: Web page: http://www.econ-pol.unisi.it/ More information through EDIRC
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Keywords: Finance ; interest rates ; humped volatility ; Kalman filter ; cap and floor pricing ; Other versions of this item:
Find related papers by JEL classification: E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Determination of Interest Rates; Term Structure of Interest Rates G12 - Financial Economics - - General Financial Markets - - - Asset Pricing G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Jegadeesh, Narasimhan & Pennacchi, George G, 1996.
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Research Paper Series
52, Quantitative Finance Research Centre, University of Technology, Sydney.
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