𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Introduction to Stochastic Calculus

✍ Scribed by Rajeeva L. Karandikar, B. V. Rao


Publisher
Springer Singapore
Year
2018
Tongue
English
Leaves
446
Series
Indian Statistical Institute Series
Edition
1st ed.
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


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 address 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.

✦ Table of Contents


Front Matter ....Pages i-xiii
Discrete Parameter Martingales (Rajeeva L. Karandikar, B. V. Rao)....Pages 1-33
Continuous-Time Processes (Rajeeva L. Karandikar, B. V. Rao)....Pages 35-63
The Ito’s Integral (Rajeeva L. Karandikar, B. V. Rao)....Pages 65-87
Stochastic Integration (Rajeeva L. Karandikar, B. V. Rao)....Pages 89-160
Semimartingales (Rajeeva L. Karandikar, B. V. Rao)....Pages 161-213
Pathwise Formula for the Stochastic Integral (Rajeeva L. Karandikar, B. V. Rao)....Pages 215-220
Continuous Semimartingales (Rajeeva L. Karandikar, B. V. Rao)....Pages 221-249
Predictable Increasing Processes (Rajeeva L. Karandikar, B. V. Rao)....Pages 251-302
The Davis Inequality (Rajeeva L. Karandikar, B. V. Rao)....Pages 303-320
Integral Representation of Martingales (Rajeeva L. Karandikar, B. V. Rao)....Pages 321-360
Dominating Process of a Semimartingale (Rajeeva L. Karandikar, B. V. Rao)....Pages 361-381
SDE Driven by r.c.l.l. Semimartingales (Rajeeva L. Karandikar, B. V. Rao)....Pages 383-410
Girsanov Theorem (Rajeeva L. Karandikar, B. V. Rao)....Pages 411-434
Back Matter ....Pages 435-441

✦ Subjects


Statistics; Statistical Theory and Methods; Probability Theory and Stochastic Processes


πŸ“œ SIMILAR VOLUMES


Introduction to stochastic calculus
✍ Karandikar, Rajeeva L.; Rao, B. V πŸ“‚ Library πŸ“… 2018 πŸ› Springer 🌐 English

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

Introduction to Stochastic Calculus Appl
✍ Damien Lamberton, Bernard Lapeyre, πŸ“‚ Library πŸ“… 1996 🌐 English

In recent years the growing importance of derivative products financial markets has increased financial institutions' demands for mathematical skills. This book introduces the mathematical methods of financial modeling with clear explanations of the most useful models. Introduction to Stochastic Cal

Introduction to stochastic calculus for
✍ Dieter Sondermann πŸ“‚ Library πŸ“… 2007 πŸ› Springer 🌐 English

<P>Although there are many textbooks on stochastic calculus applied to finance, this volume earns its place with a pedagogical approach. The text presents a quick (but by no means "dirty") road to the tools required for advanced finance in continuous time, including option pricing by martingale meth

Introduction to Stochastic Calculus with
✍ Fima C. Klebaner πŸ“‚ Library πŸ“… 2005 🌐 English

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 ma

An Introduction to Quantum Stochastic Ca
✍ K. R. Parthasarathy (auth.) πŸ“‚ Library πŸ“… 1992 πŸ› BirkhΓ€user Basel 🌐 English

<p><p>"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 <br><br>"This is an excellent volume which will be a valuable compa

An Introduction to Quantum Stochastic Ca
✍ K.R. Parthasarathy πŸ“‚ Library πŸ“… 2012 πŸ› Springer BirkhΓ€user 🌐 English

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