Stochastic Processes and Calculus - An Elementary Introduction with Applications (Hardcover, 1st ed. 2016)


This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics. Over the past decades stochastic calculus and processes have gained great importance, because they play a decisive role in the modeling of financial markets and as a basis for modern time series econometrics. Mathematical theory is applied to solve stochastic differential equations and to derive limiting results for statistical inference on nonstationary processes. This introduction is elementary and rigorous at the same time. On the one hand it gives a basic and illustrative presentation of the relevant topics without using many technical derivations. On the other hand many of the procedures are presented at a technically advanced level: for a thorough understanding, they are to be proven. In order to meet both requirements jointly, the present book is equipped with a lot of challenging problems at the end of each chapter as well as with the corresponding detailed solutions. Thus the virtual text - augmented with more than 60 basic examples and 40 illustrative figures - is rather easy to read while a part of the technical arguments is transferred to the exercise problems and their solutions.

R3,208

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles32080
Mobicred@R301pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 12 - 17 working days



Product Description

This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics. Over the past decades stochastic calculus and processes have gained great importance, because they play a decisive role in the modeling of financial markets and as a basis for modern time series econometrics. Mathematical theory is applied to solve stochastic differential equations and to derive limiting results for statistical inference on nonstationary processes. This introduction is elementary and rigorous at the same time. On the one hand it gives a basic and illustrative presentation of the relevant topics without using many technical derivations. On the other hand many of the procedures are presented at a technically advanced level: for a thorough understanding, they are to be proven. In order to meet both requirements jointly, the present book is equipped with a lot of challenging problems at the end of each chapter as well as with the corresponding detailed solutions. Thus the virtual text - augmented with more than 60 basic examples and 40 illustrative figures - is rather easy to read while a part of the technical arguments is transferred to the exercise problems and their solutions.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Springer Texts in Business and Economics

Release date

December 2015

Availability

Expected to ship within 12 - 17 working days

First published

2016

Authors

Dimensions

235 x 155 x 28mm (L x W x T)

Format

Hardcover

Pages

391

Edition

1st ed. 2016

ISBN-13

978-3-319-23427-4

Barcode

9783319234274

Categories

LSN

3-319-23427-7



Trending On Loot