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Fitting the Smile, Smart Parameters for SABR and HestonPierre GauthierDaiwa Capital Markets Europe Pierre-Yves Henri RivailleOctober 30, 2009 Abstract: In this paper we revisit the problem of calibrating stochastic volatility models. By finding smart initial parameters, we improve robustness of Levenberg-Marquardt. Applying this technique to the SABR and Heston models reduces calibration time by more than 90% compared to global optimization techniques such as Simplex or Differential Evolution.
Number of Pages in PDF File: 13 Keywords: Stochastic volatility, SABR, Heston, Smile volatility, Calibration, Optimization working papers seriesDate posted: October 31, 2009Suggested CitationContact Information
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