Transformation methods for evaluating approximations to the optimal exercise boundary for linear and nonlinear Black-Scholes equations
Daniel Sevcovic

TL;DR
This paper introduces a transformation technique and iterative numerical scheme to analyze and approximate the early exercise boundary for both linear and nonlinear Black-Scholes equations, including applications to Asian options.
Contribution
It presents a novel transformation method converting free boundary problems into fixed domain equations and proposes an iterative scheme for approximating the early exercise boundary in nonlinear models.
Findings
Numerical results demonstrate the effectiveness of the method for various models.
The free boundary's dependence on model parameters is analyzed.
Application to Asian options showcases the method's versatility.
Abstract
The purpose of this survey chapter is to present a transformation technique that can be used in analysis and numerical computation of the early exercise boundary for an American style of vanilla options that can be modelled by class of generalized Black-Scholes equations. We analyze qualitatively and quantitatively the early exercise boundary for a linear as well as a class of nonlinear Black-Scholes equations with a volatility coefficient which can be a nonlinear function of the second derivative of the option price itself. A motivation for studying the nonlinear Black-Scholes equation with a nonlinear volatility arises from option pricing models taking into account e.g. nontrivial transaction costs, investor's preferences, feedback and illiquid markets effects and risk from a volatile (unprotected) portfolio. We present a method how to transform the free boundary problem for the early…
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Taxonomy
TopicsStochastic processes and financial applications · Financial Markets and Investment Strategies · Capital Investment and Risk Analysis
