Deep Learning in Quantitative Finance (Wiley Finance)
by Andrew Green
From $78.20 / copy at 25+ copies; lower per-copy prices at higher quantities (see Volume pricing) As low as $73.60 at 1,000+
Total $1,955.00
Format
The more copies, the less each one costs
Applied automatically in your cart. No code needed.
Turn this order into a program
Groups that order together often pair the copies with something more. We handle the extras so you don't have to.
Bookplates, tipped-in pages, belly bands or author signatures. Subject to publisher approval.
Customization options Ship to every readerOne address, many sites or individual recipients' homes, in the US and abroad.
Fulfillment options Pair it with a branded journalJournals with your logo or each reader's name, for the same group.
Branded journalsBookPal is partnering with Talezo to help you find and book authors, speakers and performers for your event.
BookPal × TalezoDeep Learning in Quantitative Finance (Wiley 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.
Details
- Publisher
- Wiley
- Author
- Andrew Green
- Format
- Hardcover
- Published
- Mar 23, 2026
- ISBN-13
- 9781119685241
- Pages
- 736
- Carton quantity
- 8 copies
Deep Learning in Quantitative Finance (Wiley Finance) for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 99 | $78.20 | 15% off list |
| 100 – 249 | $77.28 | 16% off list |
| 250 – 499 | $76.36 | 17% off list |
| 500 – 999 | $75.44 | 18% off list |
| 1,000+ | $73.60 | 20% off list |
Popular for
For new managers and leadership cohorts, a chapter per session.
A shared vocabulary for the whole organization.
A takeaway attendees will actually read, delivered to your venue.
Where can I buy 100 copies of Deep Learning in Quantitative Finance?
BookPal sells Deep Learning in Quantitative Finance in quantity. At 100 copies the price is $77.28 a copy, against a list price of $92.00, and the cart applies the volume tier automatically. Free shipping on most orders over $95 in the contiguous US. A specialist can quote a larger or mixed order.
- New books only, straight from the publisher
- Volume prices apply automatically in the cart, with no code needed
- Order at least 10 business days before you need the books (11 from mid-November through December)
What does Deep Learning in Quantitative Finance (Wiley Finance) cost when I buy for a group?
Volume pricing applies automatically in your cart, with no code needed. Price per copy: 25 to 99 copies, $78.20 (15% off list); 100 to 249 copies, $77.28 (16% off list); 250 to 499 copies, $76.36 (17% off list); 500 to 999 copies, $75.44 (18% off list); 1,000+ copies, $73.60 (20% off list). Need a different quantity, or a quote to forward for approval? Ask a specialist and we will confirm pricing before you pay.
How fast can I get copies of Deep Learning in Quantitative Finance (Wiley Finance)?
Need them by a specific date? Request a quote and we'll confirm timing before you pay.
Can you ship to several locations or people's homes?
Yes. We ship group orders to one address, to multiple sites, or to individual recipients, in the US and internationally. See fulfillment options.
Can I get a formal quote for approval before ordering?
Yes. Request a quote and we'll send a PDF you can forward for approval.
Do you accept purchase orders and tax-exempt orders?
Yes. We accept purchase orders upon approval, as well as cards, PayPal, ACH, wire transfers and checks. BookPal is a tax-exempt supplier in all 50 states. See purchase orders and sales tax exemption.
What if I find a lower price?
Send us the link. We match prices from other booksellers and distributors on a new copy in the same edition, available to ship in the quantity you need. Clearance sales and pricing errors are the exception, and we'll tell you quickly if that's the case. Start a price match.
Write a Review
Deep Learning in Quantitative Finance (Wiley Finance)
Teams also order




A colleague asked you to approve this order
Your quote list
Add books as you browse, then request one quote for all of them.