Simplified Stochastic Calculus With Applications in Economics and Finance
European Journal of Operational Research, 2021, 293(2), 547-560
30 Pages Posted: 23 Dec 2019 Last revised: 19 Apr 2022
Date Written: December 8, 2019
The paper introduces a simple way of recording and manipulating general stochastic processes without explicit reference to a probability measure. In the new calculus, operations traditionally presented in a measure-specific way are instead captured by tracing the behaviour of jumps (also when no jumps are physically present). The calculus is fail-safe in that, under minimal assumptions, all informal calculations yield mathematically well-defined stochastic processes. The calculus is also intuitive as it allows the user to pretend all jumps are of compound Poisson type. The new calculus is very effective when it comes to computing drifts and expected values that possibly involve a change of measure. Such drift calculations yield, for example, partial integro-differential equations, Hamilton–Jacobi–Bellman equations, Feynman–Kac formulae, or exponential moments needed in numerous applications. We provide several illustrations of the new technique, among them a novel result on the Margrabe option to exchange one defaultable asset for another.
Keywords: drift, Émery formula, Girsanov's theorem, simplified stochastic calculus
JEL Classification: C60, G11, G13
Suggested Citation: Suggested Citation