9781786348050-1786348055-Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes

Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes

ISBN-13: 9781786348050
ISBN-10: 1786348055
Author: Cornelis W Oosterlee, Lech A Grzelak
Publication date: 2019
Publisher: WSPC (Europe)
Format: Paperback 576 pages
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Book details

ISBN-13: 9781786348050
ISBN-10: 1786348055
Author: Cornelis W Oosterlee, Lech A Grzelak
Publication date: 2019
Publisher: WSPC (Europe)
Format: Paperback 576 pages

Summary

Acknowledged authors Cornelis W Oosterlee, Lech A Grzelak wrote Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes comprising 576 pages back in 2019. Textbook and eTextbook are published under ISBN 1786348055 and 9781786348050. Since then Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market participants changes, the corresponding stochastic mathematical models describing the prices may also change. Financial regulation may play a role in such changes too. The book thus presents several models for stock prices, interest rates as well as foreign-exchange rates, with increasing complexity across the chapters. As is said in the industry, 'do not fall in love with your favorite model.' The book covers equity models before moving to short-rate and other interest rate models. We cast these models for interest rate into the Heath-Jarrow-Morton framework, show relations between the different models, and explain a few interest rate products and their pricing.The chapters are accompanied by exercises. Students can access solutions to selected exercises, while complete solutions are made available to instructors. The MATLAB and Python computer codes used for most tables and figures in the book are made available for both print and e-book users. This book will be useful for people working in the financial industry, for those aiming to work there one day, and for anyone interested in quantitative finance. The topics that are discussed are relevant for MSc and PhD students, academic researchers, and for quants in the financial industry.

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