TY - JOUR
T1 - Model-Free Backward and Forward Nonlinear PDEs for Implied Volatility
JF - The Journal of Derivatives
DO - 10.3905/jod.2020.1.110
SP - jod.2020.1.110
AU - Carr, Peter
AU - Itkin, Andrey
AU - Stoikov, Sasha
Y1 - 2020/04/30
UR - http://jod.pm-research.com/content/early/2020/04/29/jod.2020.1.110.abstract
N2 - The authors derive backward and forward nonlinear PDEs that govern the implied volatility of a contingent claim whenever the latter is well-defined. This would include at least any contingent claim written on a positive stock price whose payoff at a possibly random time is convex. The authors also discuss suitable initial and boundary conditions for those PDEs. Finally, we demonstrate how to solve them numerically by using an iterative finite-difference approach.TOPICS: Volatility measures, optionsKey Findings• In this article, we derive backward and forward quasilinear parabolic PDEs that govern the implied volatility of a contingent claim whenever the latter is well-defined. Alternatively, we have derived a forward nonlinear hyperbolic PDE of the first order, which also governs evolution of the implied volatility in (K, T, Z) space. We discuss suitable initial and boundary conditions for those PDEs.• We develop an iterative numerical method to solve the PDEs by using a finite-difference approach. The method is of second order of approximation in both space and time, is unconditionally stable, and preserves positivity of the solution.• Using this method, we compute the PDE implied volatility and find that our intuition behind the main idea of the article is correct. In other words, performance of the finite-difference solver exceeds that of the traditional approach by factor of forty. However, this result is subject to some details, which are highlighted in the article.
ER -