IJPAM: Volume 109, No. 3 (2016)

MERTON JUMP-DIFFUSION MODEL VERSUS THE BLACK
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

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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Bibliography

1
Black, F., and Scholes, M., The pricing of options and corporate liabilities, The Journal of Political Economy, 81, No. 3 (1973), 637-654, 10.1086/260062.

2
Cordoni, F., and Di Persio, L.,Transition density for cir process by lie symmetries and application to zcb pricing(2013), International Journal of Pure and Applied Mathematics, 88 (2), pp. 239-246.

3
Cordoni, F., and Di Persio, L.,Small noise expansion for the Lévy perturbed Vasicek model(2015), International Journal of Pure and Applied Mathematics, 98 (2), pp. 291-301.

4
Cordoni, F., and Di Persio, L.,Invariant measure for the Vasicek interest rate model in the Heath-Jarrow-Morton-Musiela framework(2015), Infinite Dimensional Analysis, Quantum Probability and Related Topics, 18 (3), art. no. 1550022

5
Di Persio, L., Pellegrini, G., Bonollo, M.,Polynomial chaos expansion approach to interest rate models,(2015) Journal of Probability and Statistics, No. 369053,

6
Di Persio, L. and Frigo, M.,Gibbs sampling approach to regime switching analysis of financial time series(2016), Journal of Computational and Applied Mathematics, 300, pp. 43-55.

7
Di Persio, L. and Frigo, M.,Maximum likelihood approach to markov switching models(2015), WSEAS Transactions on Business and Economics, 12, pp. 239-242.

8
Cont, R., and Tankov, P., Financial Modelling With Jump Processes, Chapman and Hall/CRC, UK (2004).

9
Hull, J.C, Options, Futures, And Other Derivatives, Pearson, USA (2012).

10
Hanson, F.B., and Zhu, Z., Comparison of market parameters for jump-diffusion distributions using multinomial maximum likelihood estimation, 43rd IEEE Conference on Decision and Control, 4, 2004, 3919-3924, 10.1109/CDC.2004.1429353.

11
Kim, C.J., Nelson, C.R., State-space Models with Regime Switching: Classical and Gibbs-sampling Approaches with Applications (1999), MIT Press, Cambridge.

12
Marinelli, C., Di Persio, L. and Ziglio, G.,Approximation and convergence of solutions to semilinear stochastic evolution equations with jumps(2013), Journal of Functional Analysis, 264 (12), pp. 2784-2816.

13
Merton, R.C., Option pricing when underlying stock returns are discontinuous, Journal of Financial Economics, 3 (1976), 125-144.

14
Shreve, S.E., Stochastic Calculus for Finance II: Continuous-Time Models, Springer, USA (2004).

15
Historical Quotes for Standard and Poor’s 500 Index and Nasdaq 100 Index, Option Chain for Russell 2000 Index. Data taken from https://finance.yahoo.com, 2005-2015.

16
Karatzas, I., and Shreve, S.E., Brownian Motion and Stochastic Calculus, Springer-Verlag, 1988.

17
Rogers, L.C.G., and Williams, D., Diffusions, Markov Processes and Martingales, Cambridge Mathamatical Library, 2000.

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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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