IJPAM: Volume 109, No. 3 (2016)
MERTON JUMP-DIFFUSION MODEL VERSUS THE BLACK
AND SCHOLES APPROACH FOR THE LOG-RETURNS
AND VOLATILITY SMILE FITTING
AND SCHOLES APPROACH FOR THE LOG-RETURNS
AND VOLATILITY SMILE FITTING
Nicola Gugole
Department of Computer Science
University of Verona
Strada le Grazie, 15-37134, Verona, ITALY
Department of Computer Science
University of Verona
Strada le Grazie, 15-37134, Verona, ITALY
Abstract. In the present paper we perform a comparison between the standard Black and Scholes model and the Merton jump-diffusion one, from the point of view of the study of the leptokurtic feature of log-returns and also concerning the volatility smile fitting. Provided results are obtained by calibrating on market data and by mean of numerical simulations which clearly show how the jump-diffusion model outperforms the classical geometric Brownian motion approach.
Received: August 3, 2016
Revised: September 16, 2016
Published: October 1, 2016
AMS Subject Classification: 60H15, 60H35, 91B60, 91G20, 91G60
Key Words and Phrases: Black and Scholes model, Merton model, stochastic differential equations, log-returns, volatility smile
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DOI: 10.12732/ijpam.v109i3.19 How to cite this paper?
Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2016
Volume: 109
Issue: 3
Pages: 719 - 736
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This work is licensed under the Creative Commons Attribution International License (CC BY).