Stochastic Processes and Calculus: An Elementary Introduction with Applications

by Uwe Hassler

2021-01-08 19:01:27

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... Read more

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.

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Book Details

File size9.25 X 6.1 X 0 in
Print pages391
PublisherSpringer Nature
Publication date March 30, 2019
LanguageEnglish
ISBN9783319794822
Author
UWE HASSLER, PHD, is full professor of statistics and econometric methods, Goethe University, Frankfurt. He is also associate editor of Advances in Statistical Analysis. He received his PhD from FU Be...

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