Deep Learning in Quantitative Finance
eBook - ePub

Deep Learning in Quantitative Finance

  1. 706 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Deep Learning in Quantitative Finance

About this book

The complete and practical guide to one of the hottest topics in quantitative finance

Deep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts. Deep Learning in Quantitative Finance provides a comprehensive treatment of deep learning and describes a wide range of applications in mainstream quantitative finance. Inside, you'll find over ten chapters which apply deep learning to multiple use cases across quantitative finance. You'll also gain access to a companion site containing a set of Jupyter notebooks, developed by the author, that use Python to illustrate the examples in the text. Readers will be able to work through these examples directly.

This book is a complete resource on how deep learning is used in quantitative finance applications. It introduces the basics of neural networks, including feedforward networks, optimization, and training, before proceeding to cover more advanced topics. You'll also learn about the most important software frameworks. The book then proceeds to cover the very latest deep learning research in quantitative finance, including approximating derivative values, volatility models, credit curve mapping, generating realistic market data, and hedging. The book concludes with a look at the potential for quantum deep learning and the broader implications deep learning has for quantitative finance and quantitative analysts.

  • Covers the basics of deep learning and neural networks, including feedforward networks, optimization and training, and regularization techniques
  • Offers an understanding of more advanced topics like CNNs, RNNs, autoencoders, generative models including GANs and VAEs, and deep reinforcement learning
  • Demonstrates deep learning application in quantitative finance through case studies and hands-on applications via the companion website
  • Introduces the most important software frameworks for applying deep learning within finance

This book is perfect for anyone engaged with quantitative finance who wants to get involved in a subject that is clearly going to be hugely influential for the future of finance.

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Information

Publisher
Wiley
Year
2026
Print ISBN
9781119685241
Edition
1
eBook ISBN
9781119685227
Subtopic
Finance

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Copyright
  5. Dedication
  6. Acknowledgements
  7. Part One: Introducing Deep Neural Networks
  8. Part Two: Foundations
  9. Part Three: Applications
  10. Part Four: The Future
  11. Bibliography
  12. Index
  13. End User License Agreement

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Yes, you can access Deep Learning in Quantitative Finance by Andrew Green in PDF and/or ePUB format, as well as other popular books in Business & Finance. We have over one million books available in our catalogue for you to explore.