A Path Integral Approach for Time-Dependent Hamiltonians with Applications to Derivatives Pricing
Mark Stedman, Luca Capriotti

TL;DR
This paper extends a semi-classical path integral method to handle time-dependent Hamiltonians, demonstrating its effectiveness in pricing complex financial derivatives like the Black-Karasinski interest rate model.
Contribution
It generalizes existing path integral techniques to time-dependent cases, enabling more accurate and efficient derivatives pricing methods.
Findings
Accurately models the Black-Karasinski interest rate dynamics.
Offers a computationally efficient alternative to numerical schemes.
Extends the scope of path integral methods in finance.
Abstract
We generalize a semi-classical path integral approach originally introduced by Giachetti and Tognetti [Phys. Rev. Lett. 55, 912 (1985)] and Feynman and Kleinert [Phys. Rev. A 34, 5080 (1986)] to time-dependent Hamiltonians, thus extending the scope of the method to the pricing of financial derivatives. We illustrate the accuracy of the approach by presenting results for the well-known, but analytically intractable, Black-Karasinski model for the dynamics of interest rates. The accuracy and computational efficiency of this path integral approach makes it a viable alternative to fully-numerical schemes for a variety of applications in derivatives pricing.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics
