American-type options : stochastic approximation methods, volume 2 /

The second volume of this systematical presentation of stochastic approximation methods for models of American-type options presents results on structural studies of optimal stopping domains, Monte Carlo based approximation reward algorithms, and convergence of American-type options for autoregressi...

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Bibliographic Details
Main Authors: Silvestrov, Dmitrii S.
Corporate Authors: De Gruyter.
Published: De Gruyter,
Publisher Address: Berlin/Boston :
Publication Dates: [2015]
©2015
Literature type: eBook
Language: English
Series: De gruyter studies in mathematics; 57
Dmitrii s. silvestrov: american-type options; Volume 2
Subjects:
Online Access: http://dx.doi.org/10.1515/9783110329841
http://www.degruyter.com/doc/cover/9783110329841.jpg
Summary: The second volume of this systematical presentation of stochastic approximation methods for models of American-type options presents results on structural studies of optimal stopping domains, Monte Carlo based approximation reward algorithms, and convergence of American-type options for autoregressive and continuous time models, as well as results of the corresponding experimental studies.
Carrier Form: 1 online resource (xii, 559 pages) : illustrations.
Also available in print edition.
ISBN: 9783110329841
Index Number: HG6024
CLC: F830.9
Contents: Frontmatter --
Preface --
Contents --
1 Reward approximations for autoregressive log-price processes (LPP) --
2 Reward approximations for autoregressive stochastic volatility LPP --
3 American-type options for continuous time Markov LPP --
4 Upper bounds for option rewards for Markov LPP --
5 Time-skeleton reward approximations for Markov LPP --
6 Time-space-skeleton reward approximations for Markov LPP --
7 Convergence of option rewards for continuous time Markov LPP --
8 Convergence of option rewards for diffusion LPP --
9 European, knockout, reselling and random pay-off options --
10 Results of experimental studies --
Bibliographical Remarks --
Bibliography --
Index --
De Gruyter Studies in Mathematics.