American-type options. Volume 2, Stochastic approximation methods / Dmitrii S. Silvestrov.

Online resource; title from digital title page (viewed on Feb. 9, 2015).

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.

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.

In English.

Includes bibliographical references and index.

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