Optional Processes

Theory and Applications

By: Alexander Melnikov, Mohamed Abdelghani

Write A Review

Hardcover | 14 July 2020 | Edition Number 1

At a Glance

Hardcover
394 Pages

Dimensions(cm)
19.8 x 24.3 x 3.0

Hardcover

$492.75

or 4 interest-free payments of $123.19 with

or

Ships in 10 to 15 business days

It is well-known that modern stochastic calculus has been exhaustively developed under standard conditions. Despite such a well-developed theory, there is evidence to suggest that these very convenient technical conditions cannot necessarily be fulfilled in real-world applications.

Optional Processes: Stochastic Calculus and Applications is a book that seeks to delve into the existing theory, new developments and applications of optional processes on "unusual" probability spaces. The development of stochastic calculus of optional processes marks the beginning of a new and more general form of stochastic analysis.

This book aims to provide an accessible, comprehensive and up-to-date exposition of optional processes and their numerous properties. Furthermore, the book presents not only current theory of optional processes, but it also contains a spectrum of applications to stochastic differential equations, filtering theory and mathematical finance.

Features

Suitable for graduate students and researchers in mathematical finance, actuarial science, applied mathematics and related areas

Compiles almost all essential results on the calculus of optional processes in unusual probability spaces
Contains many advanced analytical results for stochastic differential equations and statistics pertaining to the calculus of optional processes
Develops new methods in finance based on optional processes such as a new portfolio theory, defaultable claim pricing mechanism etc.

Industry Reviews

"Modern stochastics is usually identified with stochastic analysis, a field in mathematics that is well-developed under "usual conditions". Hence, a variety of results of this theory and its applications are also restricted by these technical conditions. Many examples from theory and applications call for further extensions of stochastic analysis. Optional Processes: Theory and Applications is first attempt of such natural extension.

The authors provide an excellent treatment of papers written in the 1970s and 1980s by Dellacherie, Doob, Galtchouk, Lepingle, and Lenglart among others. Moreover, the authors develop this topic in a comprehensive manner, and while doing so offer beautiful applications to the fields of mathematical finance and filtering theory. This book will be extremely useful for experts in the area of stochastic analysis, mathematical finance, and related fields."

-Svetlozar Rachev, Texas Tech University

"The usual analysis of stochastic processes in continuous time is developed in a framework of a filtered probability space satisfying the 'usual conditions'. That is, the flow of information modeled by the filtration is assumed to be right continuous. Situations arise where this condition is not satisfied. This important book develops a theory of stochastic processes where 'unusual conditions' are assumed to hold. These have applications in quantitative finance and elsewhere."

-Robert J. Elliott, Faculty Professor and Emeritus Professor at University of Calgary and Research Professor at University of South Australia

"Modern stochastics is usually identified with stochastic analysis, a field in mathematics that is well-developed under "usual conditions". Hence, a variety of results of this theory and its applications are also restricted by these technical conditions. Many examples from theory and applications call for further extensions of stochastic analysis. Optional Processes: Theory and Applications is first attempt of such natural extension.

The authors provide an excellent treatment of papers written in the 1970s and 1980s by Dellacherie, Doob, Galtchouk, Lepingle, and Lenglart among others. Moreover, the authors develop this topic in a comprehensive manner, and while doing so offer beautiful applications to the fields of mathematical finance and filtering theory. This book will be extremely useful for experts in the area of stochastic analysis, mathematical finance, and related fields."

-Svetlozar Rachev, Texas Tech University

"The usual analysis of stochastic processes in continuous time is developed in a framework of a filtered probability space satisfying the 'usual conditions'. That is, the flow of information modeled by the filtration is assumed to be right continuous. Situations arise where this condition is not satisfied. This important book develops a theory of stochastic processes where 'unusual conditions' are assumed to hold. These have applications in quantitative finance and elsewhere."

-Robert J. Elliott, Faculty Professor and Emeritus Professor at University of Calgary and Research Professor at University of South Australia

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.