The aim of this chapter is to show how partial differential equations appear in financial models and to present succinctly numerical methods used for effective computations of prices and hedging of options. In the first part, we take up the reasoning which allowed Louis Bachelier to bring out a relationship between the heat equation and a modelling of the evolution of share prices. In the second part, the equations satisfied by options prices are introduced. The third part is dedicated to numerical methods and, in particular, to the methods based on the simulation of hazard (the so-called Monte Carlo methods). The understanding of this text does not necessitate mathematical knowledge beyond that of an undergraduate level. Thus, we hope that it may be read by non-mathematical scientists.
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References
L. Bachelier (1900) Théorie de la spéculation, Annales Scientifiques de l’Ecole Normale Supérieure 17, 21–86
F. Black, M. Scholes (1973) The pricing of options and corporate liabilities, Journal of Political Economy 81, 637–654
J.-M. Courtault, Y. Kabanov, B. Bru, P. Crépel, I. Lebon, A. Le Marchand (2000) Louis Bachelier – On the centenary of Théorie de la spéculation, Mathematical Finance 10, 341–353
R.C. Merton (1973) Theory of rational option pricing, Bell Journal of Economics and Management Science 4, 141–183
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Lamberton, D. (2008). Options and Partial Differential Equations. In: Yor, M. (eds) Aspects of Mathematical Finance. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75265-3_6
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