Solvable Local and Stochastic Volatility Models: Supersymmetric Methods in Option Pricing

TL;DR

This paper classifies one- and two-dimensional diffusion processes, including popular stochastic volatility models, that admit exact solutions to the Black-Scholes equation using supersymmetric quantum mechanics methods.

Contribution

It introduces a novel classification of solvable diffusion processes and derives new analytical solutions for stochastic volatility models via supersymmetric techniques.

Findings

Identifies a class of integrable superpotentials for exact solutions.

Provides new analytical solutions for models like Heston and 3/2-model.

Classifies gauge-free stochastic volatility models with solvable properties.

Abstract

In this paper we provide an extensive classification of one and two dimensional diffusion processes which admit an exact solution to the Kolmogorov (and hence Black-Scholes) equation (in terms of hypergeometric functions). By identifying the one-dimensional solvable processes with the class of integrable superpotentials introduced recently in supersymmetric quantum mechanics, we obtain new analytical solutions. For two-dimensional processes, more precisely stochastic volatility models, the classification is achieved for a specific class called gauge-free models including the Heston model, the 3/2-model and the geometric Brownian model.