EconPapers    
Economics at your fingertips  
 

Transition probabilities for diffusion equations by means of path integrals

Marc Goovaerts, Ann De Schepper () and Marc Decamps

Working Papers from University of Antwerp, Faculty of Business and Economics

Abstract: In this paper, we investigate the transition probabilities for diffusion processes. In a first part, we show how transition probabilities for rather general diffusion processes can always be expressed by means of a path integral. For several classical models, an exact calculation is possible, leading to analytical expressions for the transition probabilities and for the maximum probability paths. A second part consists of the derivation of an analytical approximation for the transition probability, which is useful in case the path integral is too complex to be calculated. The approximation we present, is based on a convex combination of a new analytical upper and lower bound for the transition probabilities. The fact that the approximation is analytical has some important advantages, e.g. for the investigation of Asian options. Finally, we demonstrate the accuracy of the approximation by means of a few graphical illustrations.

Keywords: Diffusion processes; Transition probability; Path integral; Comonotonicity (search for similar items in EconPapers)
Pages: 47 pages
Date: 2002-08
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://repository.uantwerpen.be/docman/irua/1f3d7a/0777bced.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ant:wpaper:2002026

Access Statistics for this paper

More papers in Working Papers from University of Antwerp, Faculty of Business and Economics Contact information at EDIRC.
Bibliographic data for series maintained by Joeri Nys ().

 
Page updated 2025-03-23
Handle: RePEc:ant:wpaper:2002026