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Linear-time accurate lattice algorithms for tail conditional expectation

Authors :
William W. Y. Hsu
Jan-Ming Ho
Bryant Chen
Ming-Yang Kao
Source :
Algorithmic Finance. 3:87-140
Publication Year :
2014
Publisher :
IOS Press, 2014.

Abstract

This paper proposes novel lattice algorithms to compute tail conditional expectation of European calls and puts in linear time. We incorporate the technique of prefix-sum into tilting, trinomial, and extrapolation algorithms as well as some syntheses of these algorithms. Furthermore, we introduce fractional-step lattices to help reduce interpolation error in the extrapolation algorithms. We demonstrate the efficiency and accuracy of these algorithms with numerical results. A key finding is that combining the techniques of tilting lattice, extrapolation, and fractional steps substantially increases speed and accuracy.

Details

ISSN :
21576203 and 21585571
Volume :
3
Database :
OpenAIRE
Journal :
Algorithmic Finance
Accession number :
edsair.doi...........572ca248d046413bc1ba94330e0aa596