A Primer for Financial Engineering: High Frequency Trading and Signal Processing Models for the Microstructure of Financ
Ali N. Akansu|Mustafa U. Torun
Language: English
Published by Elsevier Science, 2015
- Softcover
- New

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Provides engineering perspective to financial problems In depth coverage of market microstructure Detailed explanation of High Frequency Trading and 2010 Flash Crash Explores risk analysis and management Covers h.
Seller Inventory # 151151534
- Title
- A Primer for Financial Engineering: High Frequency Trading and Signal Processing Models for the Microstructure of Financ
- Author
- Ali N. Akansu|Mustafa U. Torun
- Publisher
- Elsevier Science
- Publication year
- 2015
- Condition
- New
- Binding
- Kartoniert / Broschiert
- Language
- English
- ISBN 10
- 0128015616
- ISBN 13
- 9780128015612
The book builds from the fundamentals, with the help of simple examples, clearly explaining the concepts to the level needed by an engineer, while showing their practical significance. Topics covered include an in depth examination of market microstructure and trading, a detailed explanation of High Frequency Trading and the 2010 Flash Crash, risk analysis and management, popular trading strategies and their characteristics, and High Performance DSP and Financial Computing. The book has many examples to explain financial concepts, and the presentation is enhanced with the visual representation of relevant market data. It provides relevant MATLAB codes for readers to further their study. Please visit the companion website on http://booksite.elsevier.com/9780128015612/
"Synopsis" may belong to another edition of this title.
About the Author
Mustafa U. Torun received his BS and MS degrees from the Dokuz Eylul University, Turkey, in 2005 and 2007 respectively, both in electrical and electronics engineering. He received his Ph.D degree from the New Jersey Institute of Technology, Newark, NJ, in 2013, in electrical engineering. He published several papers and served as a peer reviewer in many journals and conferences in a wide range of topics including multi-resolution signal processing, statistical signal processing, pattern classification, neural networks, genetic algorithms; their applications in quantitative finance, electronic trading, high frequency trading, digital communications, digital imaging, biomedical engineering; and their implementations on general purpose graphics processing units (GP-GPU) and field programmable gate arrays (FPGA). His current interests include distributed systems, distributed algorithms, cloud computing, and massively parallel computing.
"About the title" may belong to another edition of this title.
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