Measure Probability And Mathematical Finance

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Measure, Probability, and Mathematical Finance

Author : Guojun Gan
Publisher : John Wiley & Sons
ISBN 13 : 1118831969
Total Pages : 54 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Measure, Probability, and Mathematical Finance by : Guojun Gan

Download or read book Measure, Probability, and Mathematical Finance written by Guojun Gan and published by John Wiley & Sons. This book was released on 2014-04-07 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the mathematical theory and financial models developed and used on Wall Street Providing both a theoretical and practical approach to the underlying mathematical theory behind financial models, Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach presents important concepts and results in measure theory, probability theory, stochastic processes, and stochastic calculus. Measure theory is indispensable to the rigorous development of probability theory and is also necessary to properly address martingale measures, the change of numeraire theory, and LIBOR market models. In addition, probability theory is presented to facilitate the development of stochastic processes, including martingales and Brownian motions, while stochastic processes and stochastic calculus are discussed to model asset prices and develop derivative pricing models. The authors promote a problem-solving approach when applying mathematics in real-world situations, and readers are encouraged to address theorems and problems with mathematical rigor. In addition, Measure, Probability, and Mathematical Finance features: A comprehensive list of concepts and theorems from measure theory, probability theory, stochastic processes, and stochastic calculus Over 500 problems with hints and select solutions to reinforce basic concepts and important theorems Classic derivative pricing models in mathematical finance that have been developed and published since the seminal work of Black and Scholes Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach is an ideal textbook for introductory quantitative courses in business, economics, and mathematical finance at the upper-undergraduate and graduate levels. The book is also a useful reference for readers who need to build their mathematical skills in order to better understand the mathematical theory of derivative pricing models.

Measure, Probability, and Mathematical Finance

Author : Guojun Gan
Publisher : Wiley
ISBN 13 : 9781118831977
Total Pages : 744 pages
Book Rating : 4.8/5 (319 download)

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Book Synopsis Measure, Probability, and Mathematical Finance by : Guojun Gan

Download or read book Measure, Probability, and Mathematical Finance written by Guojun Gan and published by Wiley. This book was released on 2014-04-18 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probability Theory in Finance

Author : Seán Dineen
Publisher : American Mathematical Soc.
ISBN 13 : 0821894900
Total Pages : 305 pages
Book Rating : 4.8/5 (218 download)

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Book Synopsis Probability Theory in Finance by : Seán Dineen

Download or read book Probability Theory in Finance written by Seán Dineen and published by American Mathematical Soc.. This book was released on 2013-05-22 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of the Black-Scholes model and formula is pervasive in financial markets. There are very few undergraduate textbooks available on the subject and, until now, almost none written by mathematicians. Based on a course given by the author, the goal of

Probability and Finance

Author : Glenn Shafer
Publisher : John Wiley & Sons
ISBN 13 : 0471461717
Total Pages : 438 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Probability and Finance by : Glenn Shafer

Download or read book Probability and Finance written by Glenn Shafer and published by John Wiley & Sons. This book was released on 2005-02-25 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a foundation for probability based on game theory rather than measure theory. A strong philosophical approach with practical applications. Presents in-depth coverage of classical probability theory as well as new theory.

Probability for Finance

Author : Jan Malczak
Publisher : Cambridge University Press
ISBN 13 : 1107002494
Total Pages : 197 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Probability for Finance by : Jan Malczak

Download or read book Probability for Finance written by Jan Malczak and published by Cambridge University Press. This book was released on 2013-11-21 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: A rigorous, unfussy introduction to modern probability theory that focuses squarely on applications in finance.

Mathematical Finance and Probability

Author : Pablo Koch Medina
Publisher : Birkhäuser
ISBN 13 : 3034880413
Total Pages : 326 pages
Book Rating : 4.0/5 (348 download)

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Book Synopsis Mathematical Finance and Probability by : Pablo Koch Medina

Download or read book Mathematical Finance and Probability written by Pablo Koch Medina and published by Birkhäuser. This book was released on 2012-12-06 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained book presents the theory underlying the valuation of derivative financial instruments, which is becoming a standard part of the professional toolbox in the financial industry. It provides great insight into the underlying economic ideas in a very readable form, putting the reader in an excellent position to proceed to the more general continuous-time theory.

Elementary Probability Theory

Author : Kai Lai Chung
Publisher : Springer Science & Business Media
ISBN 13 : 0387215484
Total Pages : 411 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Elementary Probability Theory by : Kai Lai Chung

Download or read book Elementary Probability Theory written by Kai Lai Chung and published by Springer Science & Business Media. This book was released on 2012-11-12 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, which is illustrated with a large number of samples. The fourth edition adds material related to mathematical finance as well as expansions on stable laws and martingales. From the reviews: "Almost thirty years after its first edition, this charming book continues to be an excellent text for teaching and for self study." -- STATISTICAL PAPERS

Financial Statistics and Mathematical Finance

Author : Ansgar Steland
Publisher : John Wiley & Sons
ISBN 13 : 1118316568
Total Pages : 355 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis Financial Statistics and Mathematical Finance by : Ansgar Steland

Download or read book Financial Statistics and Mathematical Finance written by Ansgar Steland and published by John Wiley & Sons. This book was released on 2012-06-21 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance. Explains the use and importance of statistical methods in econometrics and financial engineering. Illustrates the importance of derivatives and calculus to aid understanding in methods and results. Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration. Features examples throughout to illustrate applications in mathematical and statistical finance. Is supported by an accompanying website featuring R code and data sets. Financial Statistics and Mathematical Finance introduces the financial methodology and the relevant mathematical tools in a style that is both mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, both graduate students and researchers in statistics, finance, econometrics and business administration will benefit from this book.

Game-Theoretic Foundations for Probability and Finance

Author : Glenn Shafer
Publisher : John Wiley & Sons
ISBN 13 : 0470903058
Total Pages : 480 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Game-Theoretic Foundations for Probability and Finance by : Glenn Shafer

Download or read book Game-Theoretic Foundations for Probability and Finance written by Glenn Shafer and published by John Wiley & Sons. This book was released on 2019-05-29 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Game-theoretic probability and finance come of age Glenn Shafer and Vladimir Vovk’s 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’s 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 “Ever 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 Grünwald, CWI and University of Leiden “Shafer 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

Probability and Measure

Author : Patrick Billingsley
Publisher : John Wiley & Sons
ISBN 13 : 1118341910
Total Pages : 660 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis Probability and Measure by : Patrick Billingsley

Download or read book Probability and Measure written by Patrick Billingsley and published by John Wiley & Sons. This book was released on 2012-01-20 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Third Edition "It is, as far as I'm concerned, among the best books in math ever written....if you are a mathematician and want to have the top reference in probability, this is it." (Amazon.com, January 2006) A complete and comprehensive classic in probability and measure theory Probability and Measure, Anniversary Edition by Patrick Billingsley celebrates the achievements and advancements that have made this book a classic in its field for the past 35 years. Now re-issued in a new style and format, but with the reliable content that the third edition was revered for, this Anniversary Edition builds on its strong foundation of measure theory and probability with Billingsley's unique writing style. In recognition of 35 years of publication, impacting tens of thousands of readers, this Anniversary Edition has been completely redesigned in a new, open and user-friendly way in order to appeal to university-level students. This book adds a new foreward by Steve Lally of the Statistics Department at The University of Chicago in order to underscore the many years of successful publication and world-wide popularity and emphasize the educational value of this book. The Anniversary Edition contains features including: An improved treatment of Brownian motion Replacement of queuing theory with ergodic theory Theory and applications used to illustrate real-life situations Over 300 problems with corresponding, intensive notes and solutions Updated bibliography An extensive supplement of additional notes on the problems and chapter commentaries Patrick Billingsley was a first-class, world-renowned authority in probability and measure theory at a leading U.S. institution of higher education. He continued to be an influential probability theorist until his unfortunate death in 2011. Billingsley earned his Bachelor's Degree in Engineering from the U.S. Naval Academy where he served as an officer. he went on to receive his Master's Degree and doctorate in Mathematics from Princeton University.Among his many professional awards was the Mathematical Association of America's Lester R. Ford Award for mathematical exposition. His achievements through his long and esteemed career have solidified Patrick Billingsley's place as a leading authority in the field and been a large reason for his books being regarded as classics. This Anniversary Edition of Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Like the previous editions, this Anniversary Edition is a key resource for students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.

An Introduction to Measure and Probability

Author : J.C. Taylor
Publisher : Springer Science & Business Media
ISBN 13 : 1461206596
Total Pages : 316 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis An Introduction to Measure and Probability by : J.C. Taylor

Download or read book An Introduction to Measure and Probability written by J.C. Taylor and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assuming only calculus and linear algebra, Professor Taylor introduces readers to measure theory and probability, discrete martingales, and weak convergence. This is a technically complete, self-contained and rigorous approach that helps the reader to develop basic skills in analysis and probability. Students of pure mathematics and statistics can thus expect to acquire a sound introduction to basic measure theory and probability, while readers with a background in finance, business, or engineering will gain a technical understanding of discrete martingales in the equivalent of one semester. J. C. Taylor is the author of numerous articles on potential theory, both probabilistic and analytic, and is particularly interested in the potential theory of symmetric spaces.

Measure, Probability, and Mathematical Finance

Author : Guojun Gan
Publisher : John Wiley & Sons
ISBN 13 : 1118831985
Total Pages : 744 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Measure, Probability, and Mathematical Finance by : Guojun Gan

Download or read book Measure, Probability, and Mathematical Finance written by Guojun Gan and published by John Wiley & Sons. This book was released on 2014-05-05 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the mathematical theory and financialmodels developed and used on Wall Street Providing both a theoretical and practical approach to theunderlying mathematical theory behind financial models, Measure,Probability, and Mathematical Finance: A Problem-OrientedApproach presents important concepts and results in measuretheory, probability theory, stochastic processes, and stochasticcalculus. Measure theory is indispensable to the rigorousdevelopment of probability theory and is also necessary to properlyaddress martingale measures, the change of numeraire theory, andLIBOR market models. In addition, probability theory is presentedto facilitate the development of stochastic processes, includingmartingales and Brownian motions, while stochastic processes andstochastic calculus are discussed to model asset prices and developderivative pricing models. The authors promote a problem-solving approach when applyingmathematics in real-world situations, and readers are encouraged toaddress theorems and problems with mathematical rigor. In addition,Measure, Probability, and Mathematical Finance features: A comprehensive list of concepts and theorems from measuretheory, probability theory, stochastic processes, and stochasticcalculus Over 500 problems with hints and select solutions to reinforcebasic concepts and important theorems Classic derivative pricing models in mathematical finance thathave been developed and published since the seminal work of Blackand Scholes Measure, Probability, and Mathematical Finance: AProblem-Oriented Approach is an ideal textbook for introductoryquantitative courses in business, economics, and mathematicalfinance at the upper-undergraduate and graduate levels. The book isalso a useful reference for readers who need to build theirmathematical skills in order to better understand the mathematicaltheory of derivative pricing models.

Mathematical Finance: Theory Review and Exercises

Author : Emanuela Rosazza Gianin
Publisher : Springer Science & Business Media
ISBN 13 : 3319013572
Total Pages : 277 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Mathematical Finance: Theory Review and Exercises by : Emanuela Rosazza Gianin

Download or read book Mathematical Finance: Theory Review and Exercises written by Emanuela Rosazza Gianin and published by Springer Science & Business Media. This book was released on 2014-02-10 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book collects over 120 exercises on different subjects of Mathematical Finance, including Option Pricing, Risk Theory, and Interest Rate Models. Many of the exercises are solved, while others are only proposed. Every chapter contains an introductory section illustrating the main theoretical results necessary to solve the exercises. The book is intended as an exercise textbook to accompany graduate courses in mathematical finance offered at many universities as part of degree programs in Applied and Industrial Mathematics, Mathematical Engineering, and Quantitative Finance.

A Probability Metrics Approach to Financial Risk Measures

Author : Svetlozar T. Rachev
Publisher : John Wiley & Sons
ISBN 13 : 1444392700
Total Pages : 264 pages
Book Rating : 4.4/5 (443 download)

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Book Synopsis A Probability Metrics Approach to Financial Risk Measures by : Svetlozar T. Rachev

Download or read book A Probability Metrics Approach to Financial Risk Measures written by Svetlozar T. Rachev and published by John Wiley & Sons. This book was released on 2011-03-10 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to finance for the first time. Helps to answer the question: which risk measure is best for a given problem? Finds new relations between existing classes of risk measures Describes applications in finance and extends them where possible Presents the theory of probability metrics in a more accessible form which would be appropriate for non-specialists in the field Applications include optimal portfolio choice, risk theory, and numerical methods in finance Topics requiring more mathematical rigor and detail are included in technical appendices to chapters

Mathematical Finance

Author : Ernst Eberlein
Publisher : Springer Nature
ISBN 13 : 3030261069
Total Pages : 774 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Mathematical Finance by : Ernst Eberlein

Download or read book Mathematical Finance written by Ernst Eberlein and published by Springer Nature. This book was released on 2019-12-03 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking continuous-time stochastic processes allowing for jumps as its starting and focal point, this book provides an accessible introduction to the stochastic calculus and control of semimartingales and explains the basic concepts of Mathematical Finance such as arbitrage theory, hedging, valuation principles, portfolio choice, and term structure modelling. It bridges thegap between introductory texts and the advanced literature in the field. Most textbooks on the subject are limited to diffusion-type models which cannot easily account for sudden price movements. Such abrupt changes, however, can often be observed in real markets. At the same time, purely discontinuous processes lead to a much wider variety of flexible and tractable models. This explains why processes with jumps have become an established tool in the statistics and mathematics of finance. Graduate students, researchers as well as practitioners will benefit from this monograph.

Change of Time and Change of Measure

Author : Ole E Barndorff-Nielsen
Publisher : World Scientific Publishing Company
ISBN 13 : 9814678600
Total Pages : 344 pages
Book Rating : 4.8/5 (146 download)

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Book Synopsis Change of Time and Change of Measure by : Ole E Barndorff-Nielsen

Download or read book Change of Time and Change of Measure written by Ole E Barndorff-Nielsen and published by World Scientific Publishing Company. This book was released on 2015-05-07 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Change of Time and Change of Measure provides a comprehensive account of two topics that are of particular significance in both theoretical and applied stochastics: random change of time and change of probability law. Random change of time is key to understanding the nature of various stochastic processes, and gives rise to interesting mathematical results and insights of importance for the modeling and interpretation of empirically observed dynamic processes. Change of probability law is a technique for solving central questions in mathematical finance, and also has a considerable role in insurance mathematics, large deviation theory, and other fields. The book comprehensively collects and integrates results from a number of scattered sources in the literature and discusses the importance of the results relative to the existing literature, particularly with regard to mathematical finance. In this Second Edition a Chapter 13 entitled 'A Wider View' has been added. This outlines some of the developments that have taken place in the area of Change of Time and Change of Measure since the publication of the First Edition. Most of these developments have their root in the study of the Statistical Theory of Turbulence rather than in Financial Mathematics and Econometrics, and they form part of the new research area termed 'Ambit Stochastics'.

Mathematical Finance

Author : Emanuela Rosazza Gianin
Publisher : Springer Nature
ISBN 13 : 3031283783
Total Pages : 310 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Mathematical Finance by : Emanuela Rosazza Gianin

Download or read book Mathematical Finance written by Emanuela Rosazza Gianin and published by Springer Nature. This book was released on 2023-04-18 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is conceived as a guide to solve exercises in Mathematical Finance and a complement to theoretical lectures. The potential audience consists of students in Applied Mathematics, Engineering and Economics, attending courses in Mathematical Finance. The most important subjects covered by this textbook are Pricing and Hedging of different classes of financial derivatives (European, American Exotic options, Fixed Income derivatives) in the most popular modeling frameworks, both in discrete and continuous time setting, like the Binomial and the Black-Scholes models. A Chapter on static portfolio optimization, one on pricing for more advanced models and one on Risk Measures complete the overview on the main issues presented in classical courses on Mathematical Finance. About one hundred exercises are proposed, and a large amount of them provides a detailed solution, while a few are left as an exercise to the reader. Every chapter includes a brief resume of the main theoretical results to apply. This textbook is the result of several years of teaching experience of both the authors.