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＜電子ブック＞
The Interval Market Model in Mathematical Finance : Game-Theoretic Methods / by Pierre Bernhard, Jacob C. Engwerda, Berend Roorda, J.M. Schumacher, Vassili Kolokoltsov, Patrick Saint-Pierre, Jean-Pierre Aubin
(Static & Dynamic Game Theory: Foundations & Applications. ISSN:23638524)

版	1st ed. 2013.
出版者	(New York, NY : Springer New York : Imprint: Birkhäuser)
出版年	2013
大きさ	XVI, 348 p : online resource
著者標目	*Bernhard, Pierre author Engwerda, Jacob C author Roorda, Berend author Schumacher, J.M author Kolokoltsov, Vassili author Saint-Pierre, Patrick author Aubin, Jean-Pierre author SpringerLink (Online service)
件　名	LCSH:Game theory LCSH:Social sciences—Mathematics LCSH:Econometrics LCSH:Mathematics FREE:Game Theory FREE:Mathematics in Business, Economics and Finance FREE:Quantitative Economics FREE:Applications of Mathematics
一般注記	Preface -- Part I Revisiting Two Classic Results in Dynamic Portfolio Management -- Merton’s Optimal Dynamic Portfolio Revisited -- Option Pricing: Classic Results -- Introduction -- Part II Hedging in Interval Models -- Fair Price Intervals -- Optimal Hedging Under Robust-Cost Constraints -- Appendix: Proofs -- Continuous and Discrete-Time Option Pricing and Interval Market Model -- Part III Robust-Control Approach to Option Pricing -- Vanilla Options -- Digital Options -- Validation -- Introduction -- Part IV Game-Theoretic Analysis of Rainbow Options in Incomplete Markets -- Emergence of Risk-Neutral Probabilities -- Rainbow Options in Discrete Time, I -- Rainbow Options in Discrete Time, II -- Continuous-Time Limits -- Credit Derivatives -- Computational Methods Based on the Guaranteed Capture Basin Algorithm -- Viability Approach to Complex Option Pricing and Portfolio Insurance -- Asset and Liability Insurance Management (ALIM) for Risk Eradication -- References -- Index.   Toward the late 1990s, several research groups independently began developing new, related theories in mathematical finance. These theories did away with the standard stochastic geometric diffusion “Samuelson” market model (also known as the Black-Scholes model because it is used in that most famous theory), instead opting for models that allowed minimax approaches to complement or replace stochastic methods. Among the most fruitful models were those utilizing game-theoretic tools and the so-called interval market model. Over time, these models have slowly but steadily gained influence in the financial community, providing a useful alternative to classical methods. A self-contained monograph, The Interval Market Model in Mathematical Finance: Game-Theoretic Methods assembles some of the most important results, old and new, in this area of research. Written by seven of the most prominent pioneers of the interval market model and game-theoretic finance, the work provides a detailed account of several closely related modeling techniques for an array of problems in mathematical economics. The book is divided into five parts, which successively address topics including: ·         probability-free Black-Scholes theory; ·         fair-price interval of an option; ·         representation formulas and fast algorithms for option pricing; ·         rainbow options; ·         tychastic approach of mathematical finance based upon viability theory. This book provides a welcome addition to the literature, complementing myriad titles on the market that take a classical approach to mathematical finance. It is a worthwhile resource for researchers in applied mathematics and quantitative finance, and has also been written in a manner accessible to financially-inclined readers with a limited technical background HTTP:URL=https://doi.org/10.1007/978-0-8176-8388-7

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