American-type options : stochastic approximation methods, volume 1 /
This book gives a systematical presentation of stochastic approximation methods for models of American-type options with general pay-off functions for discrete time Markov price processes. It is the first volume of the comprehensive two volumes monograph.
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Main Authors: | |
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Corporate Authors: | |
Published: |
De Gruyter,
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Publisher Address: | Berlin/Boston : |
Publication Dates: | [2013] |
Literature type: | eBook |
Language: | English |
Series: |
De gruyter studies in mathematics;
56 Dmitrii s. silvestrov: american-type options; Volume 1 |
Subjects: | |
Online Access: |
http://dx.doi.org/10.1515/9783110329827 http://www.degruyter.com/doc/cover/9783110329827.jpg |
Summary: |
This book gives a systematical presentation of stochastic approximation methods for models of American-type options with general pay-off functions for discrete time Markov price processes. It is the first volume of the comprehensive two volumes monograph. |
Carrier Form: |
1 online resource (x, 509 pages) : illustrations. Also available in print edition. |
ISBN: | 9783110329827 |
Index Number: | HG6024 |
CLC: | F830.9 |
Contents: |
Frontmatter -- Preface -- Contents -- 1. Multivariate modulated Markov log-price processes (LPP) -- 2. American-type options -- 3. Backward recurrence reward algorithms -- 4. Upper bounds for option rewards -- 5. Convergence of option rewards I -- 6. Convergence of option rewards II -- 7. Space-skeleton reward approximations -- 8. Convergence of rewards for Markov Gaussian LPP -- 9. Tree-type approximations for Markov Gaussian LPP -- 10. Convergence of tree-type reward approximations -- Bibliographical Remarks -- Bibliography -- Index -- Backmatter. |