DocumentCode
1511535
Title
Evolutionary computation and the vega risk of American put options
Author
Keber, Christian ; Schuster, Matthias G.
Author_Institution
Dept. of Bus. Adm., Wien Univ., Austria
Volume
12
Issue
4
fYear
2001
fDate
7/1/2001 12:00:00 AM
Firstpage
704
Lastpage
715
Abstract
While European style options and American call options can be priced using analytical exact valuation models, closed-form solutions for the valuation of American puts have not yet been derived. The American put price as well as the corresponding greeks (e.g., delta, gamma, vega) can be calculated using numerical procedures or analytical approximations. We use a parallel implementation of the genetic programming approach and derive analytical approximations for determining the vega of an American put option because calculating vegas numerically requires even more computational effort than determining deltas or gammas. Applying our approximations to experimental data sets we can show that the genetically derived approximations outperform other approximations based on frequently used American put pricing formulas
Keywords
genetic algorithms; investment; probability; stock markets; American put options; analytical approximations; evolutionary computation; genetic programming approach; vega risk; Analytical models; Closed-form solution; Concurrent computing; Context modeling; Cost accounting; Evolutionary computation; Genetic programming; Lattices; Portfolios; Pricing;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.935084
Filename
935084
Link To Document