IJPAM: Volume 109, No. 4 (2016)
FINANCIAL MODELLING: ANALYSIS AND APPLICATIONS
Department of Computer Science
University of Verona
Strada le Grazie, 15-37134, Verona, ITALY
Abstract. The present paper provides a continuous-time Markov chain (CTMC) model approach to financial markets. Sufficient conditions which guarantee the absence of arbitrage and the completeness of rather generic market models, aro also derived.
Then, by proving a weak converge result, we show that the CTMC model can be viewed as a generalization of the geometric Poisson model, the Black-Scholes model and the Merton model.
Received: September 6, 2016
Revised: October 5, 2016
Published: October 9, 2016
AMS Subject Classification: 60H15, 60H35, 91B60, 91G20, 91G60
Key Words and Phrases: continuous-time Markov chain, geometric Brownian motion, compound Poisson process, geometric Poisson process, weak convergence, market modeling, finance
Download paper from here.
Bibliography
- 1
- S. Albeverio, F. Cordoni, L. Di Persio and G. Pellegrini, Asymptotic expansion for some local volatility models arising in finance, submitted (2016).
- 2
- S. Albeverio, L. Di Persio and E. Mastrogiacomo, Small noise asymptotic expansions for stochastic PDE's, I. the case of a dissipative polynomially bounded nonlinearity, Tohoku Mathematical Journal, 63, No. 4 (2011), 877-898.
- 3
- P.K. Andersen, O. Borgan, R.D. Gill and N. Keiding, Statistical models based on counting processes, Springer-Verlag, USA (1993).
- 4
- D.R. Baños, F. Cordoni, G. Di Nunno, L. Di Persio and E.E. Røse, Stochastic systems with memory and jumps, submitted, https://arxiv.org/abs/1603.00272 (2016).
- 5
- F. Beichelt, Stochastic processes in science, engineering and finance, CRC Press, (2006).
- 6
- C. Benazzoli and L. Di Persio, Default contagion in financial networks, International Journal of Mathematics and Computers in Simulation, 10, (2016), 112-117.
- 7
- T. Björk, Interest rate theory, Financial Mathematics, Springer (1997), 53-122.
- 8
- G. Bernis and S. Scotti, Alternative to beta coefficients in the context of diffusions, Quantitative Finance, (2016), 1-14.
- 9
- M. Bonollo, L. Di Persio and G. Pellegrini, Polynomial chaos expansion approach to interest rate models, Journal of Probability and Statistics, 5, (2015), 1-24.
- 10
- F. Cordoni and L. Di Persio, A BSDE with delayed generator approach to pricing under counterparty risk and collateralization, International Journal of Stochastic Analysis, (2016) .
- 11
- F. Cordoni and L. Di Persio, Invariant measure for the Vasicek interest rate model in the Heath-Jarrow-Morton-Musiela framework, Infinite Dimensional Analysis, Quantum Probability and Related Topics, 18, No. 3 (2015).
- 12
- F. Cordoni and L. Di Persio, Backward stochastic differential equations approach to hedging, option pricing, and insurance problems, International Journal of Stochastic Analysis, (2014).
- 13
- T. Björk, Arbitrage theory in continuous time, Oxford university press, USA (2009).
- 14
- F. Black and M. Scholes, The pricing of options and corporate liabilities, The journal of political economy, 81, No. 3 (1973), 637-654.
- 15
- P. Brémaud, Point processes and queues, Springer-Verlag, USA (1981).
- 16
- L. Di Persio and M. Frigo, Gibbs sampling approach to regime switching analysis of financial time series, Journal of Computational and Applied Mathematics, No. 300 (2016), 43-55.
- 17
- L. Di Persio,and M. Frigo, Maximum likelihood approach to Markov switching models WSEAS Transactions on Business and Economics, 12, (2015), 239-242.
- 18
- L. Di Persio and I. Perin, An ambit stochastic approach to pricing electricity forward contracts: The case of the German Energy Market,Journal of Probability and Statistics, (2015).
- 19
- L. Di Persio and G. Ziglio, Gaussian estimates on networks with applications to optimal control, Networks and Heterogeneous Media, 6, No. 2 (2011), 279-296.
- 20
- J. Jacod and A.N. Shiryaev, Limit theorems for stochastic processes, Springer-Verlag, Germany (2013).
- 21
- C. Marinelli, L. Di Persio, G. Ziglio, Approximation and convergence of solutions to semilinear stochastic evolution equations with jumps, Journal of Functional Analysis, 264, No. 12 (2013), 2784-2816.
- 22
- R.C. Merton, Lifetime portfolio selection under uncertainty: The continuous-time case, The review of Economics and Statistics, 51, No. 3 (1969), 247-257.
- 23
- R.C. Merton, Option pricing when underlying stock returns are discontinuous, Journal of financial economics, 3, No. 1-2 (1976), 125-144.
- 24
- R. Norberg, A time-continuous Markov chain interest model with applications to insurance, Applied Stochastic Models and Data Analysis, 11, No. 3 (1995), 245-256.
- 25
- R. Norberg, The Markov chain market, Astin Bulletin, 33, No. 2 (2003), 265-287.
- 26
- R. Norberg, Anomalous PDEs in Markov chains: domains of validity and numerical solutions, Finance and Stochastics, 9, No. 4 (2005), 519-537.
- 27
- F.A. Sonnenberg and J.R. Beck, Markov models in medical decision making: a practical guide, Medical decision making, 13, No. 4 (1993), 322-338.
- 28
- S.E. Shreve, Stochastic calculus for finance II: Continuous-time models, Springer-Verlag, USA (2004).
- 29
- D. Williams, Probability with martingales, Cambridge university press, Great Britain (1991).
.
DOI: 10.12732/ijpam.v109i4.21 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: 4
Pages: 1029 - 1054
Google Scholar; DOI (International DOI Foundation); WorldCAT.
This work is licensed under the Creative Commons Attribution International License (CC BY).