Computational Finance Using C and C#

George Levy

ISBN 10: 012803579X / ISBN 13: 9780128035795

Published by Elsevier Science Publishing Co Inc, US, 2016

About this Item

Computational Finance Using C and C#: Derivatives and Valuation, Second Edition provides derivatives pricing information for equity derivatives, interest rate derivatives, foreign exchange derivatives, and credit derivatives. By providing free access to code from a variety of computer languages, such as Visual Basic/Excel, C++, C, and C#, it gives readers stand-alone examples that they can explore before delving into creating their own applications. It is written for readers with backgrounds in basic calculus, linear algebra, and probability. Strong on mathematical theory, this second edition helps empower readers to solve their own problems. *Features new programming problems, examples, and exercises for each chapter. *Includes freely-accessible source code in languages such as C, C++, VBA, C#, and Excel. *Includes a new chapter on the history of finance which also covers the 2008 credit crisis and the use of mortgage backed securities, CDSs and CDOs. *Emphasizes mathematical theory.

Seller Inventory # LU-9780128035795

Bibliographic Details

• Title: Computational Finance Using C and C#
• Publisher: Elsevier Science Publishing Co Inc, US
• Publication Date: 2016
• Language: English
• ISBN 10: 012803579X
• ISBN 13: 9780128035795
• Binding: Hardback
• Edition: 2nd Edition
• Condition: New
• Weight: 540 grams

About this title

Synopsis

Computational Finance Using C and C#: Derivatives and Valuation, Second Edition provides derivatives pricing information for equity derivatives, interest rate derivatives, foreign exchange derivatives, and credit derivatives. By providing free access to code from a variety of computer languages, such as Visual Basic/Excel, C++, C, and C#, it gives readers stand-alone examples that they can explore before delving into creating their own applications. It is written for readers with backgrounds in basic calculus, linear algebra, and probability. Strong on mathematical theory, this second edition helps empower readers to solve their own problems.

*Features new programming problems, examples, and exercises for each chapter. *Includes freely-accessible source code in languages such as C, C++, VBA, C#, and Excel.. *Includes a new chapter on the history of finance which also covers the 2008 credit crisis and the use of mortgage backed securities, CDSs and CDOs. *Emphasizes mathematical theory.

• Features new programming problems, examples, and exercises with solutions added to each chapter
• Includes freely-accessible source code in languages such as C, C++, VBA, C#, Excel,
• Includes a new chapter on the credit crisis of 2008
• Emphasizes mathematical theory

About the Author

George Levy currently works as a quantitative analyst at RWE, and has provided technical consultancy to numerous financial institutions, In addition he has also published articles on numerical modelling, mathematical finance and software engineering. He is the author of Computational Finance: Numerical Methods for Pricing Financial Derivatives. His interests include: Monte Carlo simulation, Microsoft technologies and derivative valuation.