| 000 | 03841cam a2200409 i 4500 | ||
|---|---|---|---|
| 015 |
_aGBB964191 _2bnb |
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| 016 | 7 |
_a019349003 _2Uk |
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| 020 |
_a9781118547939 _q(electronic book) |
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| 020 |
_a1118547934 _q(electronic book) |
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| 020 |
_a9781118548035 _q(electronic book) |
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| 020 |
_a1118548035 _q(electronic book) |
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| 020 |
_a9781118548028 _q(electronic book) |
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| 020 |
_a1118548027 _q(electronic book) |
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| 020 |
_z9780470903056 _q(hardcover) |
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| 037 |
_a9781118548028 _bWiley |
||
| 040 | _cCUS | ||
| 072 | 7 |
_aBUS _x027000 _2bisacsh |
|
| 100 | 1 |
_aShafer, Glenn, _d1946- _eauthor. |
|
| 240 | 1 | 0 | _aProbability and finance |
| 245 | 1 | 0 |
_aGame-theoretic foundations for probability and finance / _cGlenn Ray Shafer, Vladimir Vovk. |
| 260 | 1 |
_aHoboken, NJ : _bJohn Wiley & Sons, Inc., _c2019. |
|
| 260 | 4 | _c©2019 | |
| 300 | _a1 online resource | ||
| 490 | 1 | _aWiley series in probability and statistics | |
| 500 | _aEarlier edition published in 2001 as: Probability and finance : it's only a game! | ||
| 520 | _aGame-theoretic probability and finance come of age Glenn Shafer and Vladimir Vovk Probability and Finance, published in 2001, showed that perfect-information games can be used to define mathematical probability. Based on fifteen years of further research, Game-Theoretic Foundations for Probability and Finance presents a mature view of the foundational role game theory can play. Its account of probability theory opens the way to new methods of prediction and testing and makes many statistical methods more transparent and widely usable. Its contributions to finance theory include purely game-theoretic accounts of Ito stochastic calculus, the capital asset pricing model, the equity premium, and portfolio theory. Game-Theoretic Foundations for Probability and Finance is a book of research. It is also a teaching resource. Each chapter is supplemented with carefully designed exercises and notes relating the new theory to its historical context. Praise from early readers ver since Kolmogorov's Grundbegriffe, the standard mathematical treatment of probability theory has been measure-theoretic. In this ground-breaking work, Shafer and Vovk give a game-theoretic foundation instead. While being just as rigorous, the game-theoretic approach allows for vast and useful generalizations of classical measure-theoretic results, while also giving rise to new, radical ideas for prediction, statistics and mathematical finance without stochastic assumptions. The authors set out their theory in great detail, resulting in what is definitely one of the most important books on the foundations of probability to have appeared in the last few decades. Peter Gr130 0Wiley series in probability and statisticsnwald, CWI and University of Leiden hafer and Vovk have thoroughly re-written their 2001 book on the game-theoretic foundations for probability and for finance. They have included an account of the tremendous growth that has occurred since, in the game-theoretic and pathwise approaches to stochastic analysis and in their applications to continuous-time finance. This new book will undoubtedly spur a better understanding of the foundations of these very important fields, and we should all be grateful to its authors. Ioannis Karatzas, Columbia University. | ||
| 650 | 0 |
_aFinance _xStatistical methods. |
|
| 650 | 0 |
_aFinance _xMathematical models. |
|
| 650 | 0 | _aGame theory. | |
| 650 | 7 |
_aBUSINESS & ECONOMICS _xFinance. _2bisacsh |
|
| 650 | 7 |
_aFinance _xMathematical models. _2fast _0(OCoLC)fst00924398 |
|
| 650 | 7 |
_aFinance _xStatistical methods. _2fast _0(OCoLC)fst00924417 |
|
| 650 | 7 |
_aGame theory. _2fast _0(OCoLC)fst00937501 |
|
| 700 | 1 |
_aVovk, Vladimir, _d1960- _eauthor. |
|
| 830 | 0 | _aWiley series in probability and statistics. | |
| 856 | 4 | 0 |
_uhttps://doi.org/10.1002/9781118548035 _zWiley Online Library |
| 942 | _cEBK | ||
| 999 |
_c208838 _d208838 |
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