Physics and Derivatives: Effective-Potential Path-Integral Approximations of Arrow-Debreu Densities

Autor: Luca Capriotti, Ruggero Vaia
Rok vydání: 2020
Předmět:
Zdroj: The Journal of derivatives 28 (2020): 8–25. doi:10.3905/jod.2020.1.107
info:cnr-pdr/source/autori:Luca Capriotti, Ruggero Vaia/titolo:Physics and Derivatives: Effective-Potential Path-Integral Approximations of Arrow-Debreu Densities/doi:10.3905%2Fjod.2020.1.107/rivista:The Journal of derivatives/anno:2020/pagina_da:8/pagina_a:25/intervallo_pagine:8–25/volume:28
ISSN: 2168-8524
1074-1240
DOI: 10.3905/jod.2020.1.107
Popis: We show how effective-potential path-integrals methods, stemming on a simple and nice idea originally due to Feynman and successfully employed in Physics for a variety of quantum thermodynamics applications, can be used to develop an accurate and easy-to-compute semi-analytical approximation of transition probabilities and Arrow-Debreu densities for arbitrary diffusions. We illustrate the accuracy of the method by presenting results for the Black-Karasinski and the GARCH linear models, for which the proposed approximation provides remarkably accurate results, even in regimes of high volatility, and for multi-year time horizons. The accuracy and the computational efficiency of the proposed approximation makes it a viable alternative to fully numerical schemes for a variety of derivatives pricing applications.
Comment: 12 pages, 4 figures
Databáze: OpenAIRE