Abstract
Modern financial practice depends heavily on mathematics and a correspondingly large theory has grown up to meet this demand. This paper focuses on the use of matched asymptotic expansions in option pricing; it presents illustrations of the approach in ‘plain vanilla’ option valuation, in valuation using a fast mean-reverting-stochastic volatility model, and in a model for illiquid markets. A tentative framework for matched asymptotic expansions applied directly to stochastic processes of diffusion type is also proposed.
Similar content being viewed by others
References
M.J. Lighthill, Newer Uses of Mathematics. London: Penguin books (1978).
M.J. Lighthill, Introduction to Fourier Analysis and Generalised Functions. Cambridge: Cambridge University Press (1958).
F. Black and M. Scholes, The pricing of options and corporate liabilities. J. Political Economy 81 (1973) 637-654
R.C. Merton, Theory of rational option pricing. Bell J. Econ. Manag. Sci. 4 (1973) 141-183
P. Wilmott, S. Howison and J. Dewynne, The Mathematics of Financial Derivatives. Cambridge: Cambridge University Press (1995).
M. Widdicks, P. Duck, A. Andricopoulos and D.P. Newton, The Black-Scholes equation revisited: asymptotic expansions and singular perturbations. Math. Finance 15 (2005) 373-391
R. Almgren and N. Chriss, Optimal execution of portfolio transactions. J. Risk 3 (2001) 5-39
D. Bakstein and S.D. Howison, An arbitrage-free liquidity model with observable parameters for derivatives, working paper, Mathematical Institute, Oxford University (2004).
R. Frey and A. Stremme, Market volatility and feedback effects from dynamic hedging. University of Bonn, Discussion Paper (1995).
V. Putyatin and J. Dewynne, Market liquidity and its effects on option valuation and hedging. Phil. Trans. R. Soc. London 357 (1999) 2093-2108
P. Schönbucher and P. Wilmott, The feedback effect of hedging in illiquid markets. SIAM J. Appl. Math. 61 (2000) 232-272
R. Sircar and G. Papanicolaou, General Black–Scholes models accounting for increased market volatility from hedging strategies. Appl. Math. Finance 5 (1998) 45-82
M. Mitton, Derivative pricing in an illiquid market. Transfer Thesis, OCIAM, Mathematical Institute, Oxford University (2003).
J.R. King and C.P. Please, Diffusion of dopant in crystalline silicon: an asymptotic analysis. I.M.A. J. Appl. Maths 37 (1986) 185-197
J.P. Fouque, G. Papanicolaou and K.R. Sircar, Derivatives in Financial Markets with Stochastic Volatility. Cambridge: Cambridge University Press (2000).
S.L. Heston, A closed-form solution for options with stochastic volatility with applications to bond and currency options. Rev. Financial Studies 6 (1993) 237-343
S.D. Howison, A. Rafailidis and H. Rasmussen, On the pricing and hedging of volatility derivatives. Appl. Math. Finance 11 (2004) 317-346
H.O. Rasmussen and P. Wilmott, Asymptotic analysis of stochastic volatility models. In: P. Wilmott and H.O. Rasmussen (eds.) New Directions in Mathematical Finance. New York: Wiley (2002) pp.
J.P. Fouque, G. Papanicolaou, K.R. Sircar and K. Solna, Singular perturbations in option pricing. SIAM J. Appl. Math. 63 (2003) 1648-1665
J.G. Conlon and M.G. Sullivan, Convergence to Black–Scholes for ergodic volatility models. (2005) Preprint.
S.D. Howison, Practical Applied Mathematics. Cambridge: Cambridge University Press (2005).
S.D. Howison and J.R. King, Ray methods for free boundary problems. Quart. Appl. Math. (2005) In press.
S.D. Howison and M. Steinberg, A matched asymptotic expansions approach to continuity corrections for discretely sampled options. Part 1: barrier options. (2005) Preprint.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Howison, S. Matched Asymptotic Expansions in Financial Engineering. J Eng Math 53, 385–406 (2005). https://doi.org/10.1007/s10665-005-7716-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10665-005-7716-z