Foundations of Infinitesimal Stochastic Analysis

Foundations of Infinitesimal Stochastic Analysis
Author: K.D. Stroyan
Publisher: Elsevier
Total Pages: 491
Release: 2011-08-18
Genre: Computers
ISBN: 0080960421

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This book gives a complete and elementary account of fundamental results on hyperfinite measures and their application to stochastic processes, including the *-finite Stieltjes sum approximation of martingale integrals. Many detailed examples, not found in the literature, are included. It begins with a brief chapter on tools from logic and infinitesimal (or non-standard) analysis so that the material is accessible to beginning graduate students.

Foundations of Stochastic Differential Equations in Infinite Dimensional Spaces

Foundations of Stochastic Differential Equations in Infinite Dimensional Spaces
Author: Kiyosi Ito
Publisher: SIAM
Total Pages: 79
Release: 1984-01-01
Genre: Mathematics
ISBN: 9781611970234

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A systematic, self-contained treatment of the theory of stochastic differential equations in infinite dimensional spaces. Included is a discussion of Schwartz spaces of distributions in relation to probability theory and infinite dimensional stochastic analysis, as well as the random variables and stochastic processes that take values in infinite dimensional spaces.

Principles of Infinitesimal Stochastic and Financial Analysis

Principles of Infinitesimal Stochastic and Financial Analysis
Author: Imme van den Berg
Publisher: World Scientific
Total Pages: 156
Release: 2000
Genre: Mathematics
ISBN: 9789810243586

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There has been a tremendous growth in the volume of financial transactions based on mathematics, reflecting the confidence in the Nobel-Prize-winning Black-Scholes option theory. Risks emanating from obligatory future payments are covered by a strategy of trading with amounts not determined by guessing, but by solving equations, and with prices not resulting from offer and demand, but from computation. However, the mathematical theory behind that suffers from inaccessibility. This is due to the complexity of the mathematical foundation of the Black-Scholes model, which is the theory of continuous-time stochastic processes: a thorough study of mathematical finance is considered to be possible only at postgraduate level. The setting of this book is the discrete-time version of the Black-Scholes model, namely the Cox-Ross-Rubinstein model. The book gives a complete description of its background, which is now only the theory of finite stochastic processes. The novelty lies in the fact that orders of magnitude -- in the sense of nonstandard analysis -- are imposed on the parameters of the model. This not only makes the model more economically sound (such as rapid fluctuations of the market being represented by infinitesimal trading periods), but also leads to a significant simplification: the fundamental results of Black-Scholes theory are derived in full generality and with mathematical rigour, now at graduate level. The material has been repeatedly taught in a third-year course to econometricians.

Foundations of Stochastic Analysis

Foundations of Stochastic Analysis
Author: M. M. Rao
Publisher: Elsevier
Total Pages: 310
Release: 2014-07-10
Genre: Mathematics
ISBN: 1483269310

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Foundations of Stochastic Analysis deals with the foundations of the theory of Kolmogorov and Bochner and its impact on the growth of stochastic analysis. Topics covered range from conditional expectations and probabilities to projective and direct limits, as well as martingales and likelihood ratios. Abstract martingales and their applications are also discussed. Comprised of five chapters, this volume begins with an overview of the basic Kolmogorov-Bochner theorem, followed by a discussion on conditional expectations and probabilities containing several characterizations of operators and measures. The applications of these conditional expectations and probabilities to Reynolds operators are also considered. The reader is then introduced to projective limits, direct limits, and a generalized Kolmogorov existence theorem, along with infinite product conditional probability measures. The book also considers martingales and their applications to likelihood ratios before concluding with a description of abstract martingales and their applications to convergence and harmonic analysis, as well as their relation to ergodic theory. This monograph should be of considerable interest to researchers and graduate students working in stochastic analysis.

An Infinitesimal Approach to Stochastic Analysis

An Infinitesimal Approach to Stochastic Analysis
Author: H. Jerome Keisler
Publisher: American Mathematical Soc.
Total Pages: 197
Release: 1984
Genre: Brownian motion processes
ISBN: 0821822977

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This monograph uses Robinson's infinitesimal (i.e., nonstandard) analysis to study stochastic integral equations with respect to a Brownian motion. By using a combination of standard and infinitesimal methods, we obtain new results about stochastic integral equations which can be stated in standard terms.

Principles Of Infinitesinal Stochastic & Financial Analysis

Principles Of Infinitesinal Stochastic & Financial Analysis
Author: Imme Van Den Berg
Publisher: World Scientific
Total Pages: 150
Release: 2000-07-27
Genre: Business & Economics
ISBN: 9814492779

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There has been a tremendous growth in the volume of financial transactions based on mathematics, reflecting the confidence in the Nobel-Prize-winning Black-Scholes option theory. Risks emanating from obligatory future payments are covered by a strategy of trading with amounts not determined by guessing, but by solving equations, and with prices not resulting from offer and demand, but from computation. However, the mathematical theory behind that suffers from inaccessibility. This is due to the complexity of the mathematical foundation of the Black-Scholes model, which is the theory of continuous-time stochastic processes: a thorough study of mathematical finance is considered to be possible only at postgraduate level.The setting of this book is the discrete-time version of the Black-Scholes model, namely the Cox-Ross-Rubinstein model. The book gives a complete description of its background, which is now only the theory of finite stochastic processes. The novelty lies in the fact that orders of magnitude — in the sense of nonstandard analysis — are imposed on the parameters of the model. This not only makes the model more economically sound (such as rapid fluctuations of the market being represented by infinitesimal trading periods), but also leads to a significant simplification: the fundamental results of Black-Scholes theory are derived in full generality and with mathematical rigour, now at graduate level. The material has been repeatedly taught in a third-year course to econometricians.

Foundations of Stochastic Analysis

Foundations of Stochastic Analysis
Author: Malempati Madhusudana Rao
Publisher:
Total Pages: 295
Release: 1981-01-01
Genre: Mathematics
ISBN: 9780125808507

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Introduction and generalities; Conditional expectations and probabilities; Projective and direct limits; Martingales and likelihood ratios; Abstract martingales and applications.

Applied Stochastic Analysis

Applied Stochastic Analysis
Author: Weinan E
Publisher: American Mathematical Soc.
Total Pages: 305
Release: 2021-09-22
Genre: Education
ISBN: 1470465698

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This is a textbook for advanced undergraduate students and beginning graduate students in applied mathematics. It presents the basic mathematical foundations of stochastic analysis (probability theory and stochastic processes) as well as some important practical tools and applications (e.g., the connection with differential equations, numerical methods, path integrals, random fields, statistical physics, chemical kinetics, and rare events). The book strikes a nice balance between mathematical formalism and intuitive arguments, a style that is most suited for applied mathematicians. Readers can learn both the rigorous treatment of stochastic analysis as well as practical applications in modeling and simulation. Numerous exercises nicely supplement the main exposition.