Stochastic Calculus

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Introduction to Stochastic Calculus with Applications

Fima C. Klebaner
Introduction to Stochastic Calculus with Applications Book PDF

Author : Fima C. Klebaner
Publisher : Imperial College Press
Page : 431 pages
File Size : 42,9 Mb
Release : 2005
Category : Mathematics
ISBN : 9781860945557

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Introduction to Stochastic Calculus with Applications by Fima C. Klebaner Pdf

This book presents a concise treatment of stochastic calculus and its applications. It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for practitioners who use advanced theoretical results. It covers advanced applications, such as models in mathematical finance, biology and engineering.Self-contained and unified in presentation, the book contains many solved examples and exercises. It may be used as a textbook by advanced undergraduates and graduate students in stochastic calculus and financial mathematics. It is also suitable for practitioners who wish to gain an understanding or working knowledge of the subject. For mathematicians, this book could be a first text on stochastic calculus; it is good companion to more advanced texts by a way of examples and exercises. For people from other fields, it provides a way to gain a working knowledge of stochastic calculus. It shows all readers the applications of stochastic calculus methods and takes readers to the technical level required in research and sophisticated modelling.This second edition contains a new chapter on bonds, interest rates and their options. New materials include more worked out examples in all chapters, best estimators, more results on change of time, change of measure, random measures, new results on exotic options, FX options, stochastic and implied volatility, models of the age-dependent branching process and the stochastic Lotka-Volterra model in biology, non-linear filtering in engineering and five new figures.Instructors can obtain slides of the text from the author.

Stochastic Calculus

Paolo Baldi
Stochastic Calculus Book PDF

Author : Paolo Baldi
Publisher : Springer
Page : 627 pages
File Size : 42,8 Mb
Release : 2017-11-09
Category : Mathematics
ISBN : 9783319622262

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Stochastic Calculus by Paolo Baldi Pdf

This book provides a comprehensive introduction to the theory of stochastic calculus and some of its applications. It is the only textbook on the subject to include more than two hundred exercises with complete solutions. After explaining the basic elements of probability, the author introduces more advanced topics such as Brownian motion, martingales and Markov processes. The core of the book covers stochastic calculus, including stochastic differential equations, the relationship to partial differential equations, numerical methods and simulation, as well as applications of stochastic processes to finance. The final chapter provides detailed solutions to all exercises, in some cases presenting various solution techniques together with a discussion of advantages and drawbacks of the methods used. Stochastic Calculus will be particularly useful to advanced undergraduate and graduate students wishing to acquire a solid understanding of the subject through the theory and exercises. Including full mathematical statements and rigorous proofs, this book is completely self-contained and suitable for lecture courses as well as self-study.

Brownian Motion, Martingales, and Stochastic Calculus

Jean-François Le Gall
Brownian Motion Martingales and Stochastic Calculus Book PDF

Author : Jean-François Le Gall
Publisher : Springer
Page : 273 pages
File Size : 49,6 Mb
Release : 2016-04-28
Category : Mathematics
ISBN : 9783319310893

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Brownian Motion, Martingales, and Stochastic Calculus by Jean-François Le Gall Pdf

This book offers a rigorous and self-contained presentation of stochastic integration and stochastic calculus within the general framework of continuous semimartingales. The main tools of stochastic calculus, including Itô’s formula, the optional stopping theorem and Girsanov’s theorem, are treated in detail alongside many illustrative examples. The book also contains an introduction to Markov processes, with applications to solutions of stochastic differential equations and to connections between Brownian motion and partial differential equations. The theory of local times of semimartingales is discussed in the last chapter. Since its invention by Itô, stochastic calculus has proven to be one of the most important techniques of modern probability theory, and has been used in the most recent theoretical advances as well as in applications to other fields such as mathematical finance. Brownian Motion, Martingales, and Stochastic Calculus provides a strong theoretical background to the reader interested in such developments. Beginning graduate or advanced undergraduate students will benefit from this detailed approach to an essential area of probability theory. The emphasis is on concise and efficient presentation, without any concession to mathematical rigor. The material has been taught by the author for several years in graduate courses at two of the most prestigious French universities. The fact that proofs are given with full details makes the book particularly suitable for self-study. The numerous exercises help the reader to get acquainted with the tools of stochastic calculus.

Stochastic Calculus and Financial Applications

J. Michael Steele
Stochastic Calculus and Financial Applications Book PDF

Author : J. Michael Steele
Publisher : Springer Science & Business Media
Page : 303 pages
File Size : 51,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781468493054

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Stochastic Calculus and Financial Applications by J. Michael Steele Pdf

Stochastic calculus has important applications to mathematical finance. This book will appeal to practitioners and students who want an elementary introduction to these areas. From the reviews: "As the preface says, ‘This is a text with an attitude, and it is designed to reflect, wherever possible and appropriate, a prejudice for the concrete over the abstract’. This is also reflected in the style of writing which is unusually lively for a mathematics book." --ZENTRALBLATT MATH

Brownian Motion and Stochastic Calculus

Ioannis Karatzas,Steven Shreve
Brownian Motion and Stochastic Calculus Book PDF

Author : Ioannis Karatzas,Steven Shreve
Publisher : Springer
Page : 490 pages
File Size : 52,5 Mb
Release : 2014-03-27
Category : Mathematics
ISBN : 9781461209492

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Brownian Motion and Stochastic Calculus by Ioannis Karatzas,Steven Shreve Pdf

A graduate-course text, written for readers familiar with measure-theoretic probability and discrete-time processes, wishing to explore stochastic processes in continuous time. The vehicle chosen for this exposition is Brownian motion, which is presented as the canonical example of both a martingale and a Markov process with continuous paths. In this context, the theory of stochastic integration and stochastic calculus is developed, illustrated by results concerning representations of martingales and change of measure on Wiener space, which in turn permit a presentation of recent advances in financial economics. The book contains a detailed discussion of weak and strong solutions of stochastic differential equations and a study of local time for semimartingales, with special emphasis on the theory of Brownian local time. The whole is backed by a large number of problems and exercises.

Elementary Stochastic Calculus with Finance in View

Thomas Mikosch
Elementary Stochastic Calculus with Finance in View Book PDF

Author : Thomas Mikosch
Publisher : World Scientific
Page : 230 pages
File Size : 54,6 Mb
Release : 1998
Category : Mathematics
ISBN : 9810235437

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Elementary Stochastic Calculus with Finance in View by Thomas Mikosch Pdf

Modelling with the Ito integral or stochastic differential equations has become increasingly important in various applied fields, including physics, biology, chemistry and finance. However, stochastic calculus is based on a deep mathematical theory. This book is suitable for the reader without a deep mathematical background. It gives an elementary introduction to that area of probability theory, without burdening the reader with a great deal of measure theory. Applications are taken from stochastic finance. In particular, the Black -- Scholes option pricing formula is derived. The book can serve as a text for a course on stochastic calculus for non-mathematicians or as elementary reading material for anyone who wants to learn about Ito calculus and/or stochastic finance.

Stochastic Calculus for Finance I

Steven Shreve
Stochastic Calculus for Finance I Book PDF

Author : Steven Shreve
Publisher : Springer Science & Business Media
Page : 212 pages
File Size : 47,8 Mb
Release : 2005-06-28
Category : Mathematics
ISBN : 0387249680

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Stochastic Calculus for Finance I by Steven Shreve Pdf

Developed for the professional Master's program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several years Exercises conclude every chapter; some of these extend the theory while others are drawn from practical problems in quantitative finance

Financial Calculus

Martin Baxter,Andrew Rennie
Financial Calculus Book PDF

Author : Martin Baxter,Andrew Rennie
Publisher : Cambridge University Press
Page : 252 pages
File Size : 44,5 Mb
Release : 1996-09-19
Category : Business & Economics
ISBN : 0521552893

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Financial Calculus by Martin Baxter,Andrew Rennie Pdf

A rigorous introduction to the mathematics of pricing, construction and hedging of derivative securities.

Stochastic Calculus for Finance

Marek Capiński,Ekkehard Kopp,Janusz Traple
Stochastic Calculus for Finance Book PDF

Author : Marek Capiński,Ekkehard Kopp,Janusz Traple
Publisher : Cambridge University Press
Page : 187 pages
File Size : 51,8 Mb
Release : 2012-08-23
Category : Business & Economics
ISBN : 9781107002647

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Stochastic Calculus for Finance by Marek Capiński,Ekkehard Kopp,Janusz Traple Pdf

This book introduces key results essential for financial practitioners by means of concrete examples and a fully rigorous exposition.

Stochastic Calculus and Applications

Samuel N. Cohen,Robert J. Elliott
Stochastic Calculus and Applications Book PDF

Author : Samuel N. Cohen,Robert J. Elliott
Publisher : Birkhäuser
Page : 666 pages
File Size : 43,8 Mb
Release : 2015-11-18
Category : Mathematics
ISBN : 9781493928675

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Stochastic Calculus and Applications by Samuel N. Cohen,Robert J. Elliott Pdf

Completely revised and greatly expanded, the new edition of this text takes readers who have been exposed to only basic courses in analysis through the modern general theory of random processes and stochastic integrals as used by systems theorists, electronic engineers and, more recently, those working in quantitative and mathematical finance. Building upon the original release of this title, this text will be of great interest to research mathematicians and graduate students working in those fields, as well as quants in the finance industry. New features of this edition include: End of chapter exercises; New chapters on basic measure theory and Backward SDEs; Reworked proofs, examples and explanatory material; Increased focus on motivating the mathematics; Extensive topical index. "Such a self-contained and complete exposition of stochastic calculus and applications fills an existing gap in the literature. The book can be recommended for first-year graduate studies. It will be useful for all who intend to work with stochastic calculus as well as with its applications."–Zentralblatt (from review of the First Edition)

Stochastic Calculus for Fractional Brownian Motion and Applications

Francesca Biagini,Yaozhong Hu,Bernt Øksendal,Tusheng Zhang
Stochastic Calculus for Fractional Brownian Motion and Applications Book PDF

Author : Francesca Biagini,Yaozhong Hu,Bernt Øksendal,Tusheng Zhang
Publisher : Springer Science & Business Media
Page : 330 pages
File Size : 52,5 Mb
Release : 2008-02-17
Category : Mathematics
ISBN : 9781846287978

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Stochastic Calculus for Fractional Brownian Motion and Applications by Francesca Biagini,Yaozhong Hu,Bernt Øksendal,Tusheng Zhang Pdf

The purpose of this book is to present a comprehensive account of the different definitions of stochastic integration for fBm, and to give applications of the resulting theory. Particular emphasis is placed on studying the relations between the different approaches. Readers are assumed to be familiar with probability theory and stochastic analysis, although the mathematical techniques used in the book are thoroughly exposed and some of the necessary prerequisites, such as classical white noise theory and fractional calculus, are recalled in the appendices. This book will be a valuable reference for graduate students and researchers in mathematics, biology, meteorology, physics, engineering and finance.

An Introduction to Quantum Stochastic Calculus

K.R. Parthasarathy
An Introduction to Quantum Stochastic Calculus Book PDF

Author : K.R. Parthasarathy
Publisher : Birkhäuser
Page : 299 pages
File Size : 52,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783034886413

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An Introduction to Quantum Stochastic Calculus by K.R. Parthasarathy Pdf

"Elegantly written, with obvious appreciation for fine points of higher mathematics...most notable is [the] author's effort to weave classical probability theory into [a] quantum framework." – The American Mathematical Monthly "This is an excellent volume which will be a valuable companion both for those who are already active in the field and those who are new to it. Furthermore there are a large number of stimulating exercises scattered through the text which will be invaluable to students." – Mathematical Reviews An Introduction to Quantum Stochastic Calculus aims to deepen our understanding of the dynamics of systems subject to the laws of chance both from the classical and the quantum points of view and stimulate further research in their unification. This is probably the first systematic attempt to weave classical probability theory into the quantum framework and provides a wealth of interesting features: The origin of Ito's correction formulae for Brownian motion and the Poisson process can be traced to communication relations or, equivalently, the uncertainty principle. Quantum stochastic interpretation enables the possibility of seeing new relationships between fermion and boson fields. Quantum dynamical semigroups as well as classical Markov semigroups are realized through unitary operator evolutions. The text is almost self-contained and requires only an elementary knowledge of operator theory and probability theory at the graduate level.

Brownian Motion

René L. Schilling,Lothar Partzsch
Brownian Motion Book PDF

Author : René L. Schilling,Lothar Partzsch
Publisher : Walter de Gruyter GmbH & Co KG
Page : 424 pages
File Size : 47,8 Mb
Release : 2014-06-18
Category : Mathematics
ISBN : 9783110307306

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Brownian Motion by René L. Schilling,Lothar Partzsch Pdf

Brownian motion is one of the most important stochastic processes in continuous time and with continuous state space. Within the realm of stochastic processes, Brownian motion is at the intersection of Gaussian processes, martingales, Markov processes, diffusions and random fractals, and it has influenced the study of these topics. Its central position within mathematics is matched by numerous applications in science, engineering and mathematical finance. Often textbooks on probability theory cover, if at all, Brownian motion only briefly. On the other hand, there is a considerable gap to more specialized texts on Brownian motion which is not so easy to overcome for the novice. The authors’ aim was to write a book which can be used as an introduction to Brownian motion and stochastic calculus, and as a first course in continuous-time and continuous-state Markov processes. They also wanted to have a text which would be both a readily accessible mathematical back-up for contemporary applications (such as mathematical finance) and a foundation to get easy access to advanced monographs. This textbook, tailored to the needs of graduate and advanced undergraduate students, covers Brownian motion, starting from its elementary properties, certain distributional aspects, path properties, and leading to stochastic calculus based on Brownian motion. It also includes numerical recipes for the simulation of Brownian motion.

Introduction to Stochastic Calculus

Rajeeva L. Karandikar,B. V. Rao
Introduction to Stochastic Calculus Book PDF

Author : Rajeeva L. Karandikar,B. V. Rao
Publisher : Springer
Page : 441 pages
File Size : 48,7 Mb
Release : 2018-06-01
Category : Mathematics
ISBN : 9789811083181

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Introduction to Stochastic Calculus by Rajeeva L. Karandikar,B. V. Rao Pdf

This book sheds new light on stochastic calculus, the branch of mathematics that is most widely applied in financial engineering and mathematical finance. The first book to introduce pathwise formulae for the stochastic integral, it provides a simple but rigorous treatment of the subject, including a range of advanced topics. The book discusses in-depth topics such as quadratic variation, Ito formula, and Emery topology. The authors briefly addresses continuous semi-martingales to obtain growth estimates and study solution of a stochastic differential equation (SDE) by using the technique of random time change. Later, by using Metivier–Pellaumail inequality, the solutions to SDEs driven by general semi-martingales are discussed. The connection of the theory with mathematical finance is briefly discussed and the book has extensive treatment on the representation of martingales as stochastic integrals and a second fundamental theorem of asset pricing. Intended for undergraduate- and beginning graduate-level students in the engineering and mathematics disciplines, the book is also an excellent reference resource for applied mathematicians and statisticians looking for a review of the topic.

Stochastic Calculus in Manifolds

Michel Emery
Stochastic Calculus in Manifolds Book PDF

Author : Michel Emery
Publisher : Springer Science & Business Media
Page : 158 pages
File Size : 48,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783642750519

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Stochastic Calculus in Manifolds by Michel Emery Pdf

Addressed to both pure and applied probabilitists, including graduate students, this text is a pedagogically-oriented introduction to the Schwartz-Meyer second-order geometry and its use in stochastic calculus. P.A. Meyer has contributed an appendix: "A short presentation of stochastic calculus" presenting the basis of stochastic calculus and thus making the book better accessible to non-probabilitists also. No prior knowledge of differential geometry is assumed of the reader: this is covered within the text to the extent. The general theory is presented only towards the end of the book, after the reader has been exposed to two particular instances - martingales and Brownian motions - in manifolds. The book also includes new material on non-confluence of martingales, s.d.e. from one manifold to another, approximation results for martingales, solutions to Stratonovich differential equations. Thus this book will prove very useful to specialists and non-specialists alike, as a self-contained introductory text or as a compact reference.