Artificial Intelligence for Capital Markets
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 19 December 2024
- ISBN 9781032356303
- Binding Paperback
- No. of pages182 pages
- Size 254x178 mm
- Weight 453 g
- Language English
- Illustrations 47 Illustrations, black & white; 47 Halftones, black & white; 20 Tables, black & white 672
Categories
Short description:
This book throws light on application of AI/ML techniques in the financial capital markets. It discusses the challenges posed by these techniques as these are prone to "black box" syndrome. The complexity of understanding the underlying dynamics of these methods is one of the major concerns which is highlighted in this book.
MoreLong description:
Artificial Intelligence for Capital Market throws light on the application of AI/ML techniques in the financial capital markets. This book discusses the challenges posed by the AI/ML techniques as these are prone to "black box" syndrome. The complexity of understanding the underlying dynamics for results generated by these methods is one of the major concerns which is highlighted in this book.
Features:
- Showcases artificial intelligence in finance service industry
- Explains credit and risk analysis
- Elaborates on cryptocurrencies and blockchain technology
- Focuses on the optimal choice of asset pricing model
- Introduces testing of market efficiency and forecasting in the Indian stock market
This book serves as a reference book for academicians, industry professionals, traders, finance managers and stock brokers. It may also be used as textbook for graduate level courses in financial services and financial analytics.
MoreTable of Contents:
1. Artificial Intelligence in the Financial Service Industry. 2. Machine Learning and Big Data in Finance Services. 3. Artificial Intelligence in Financial Services: Advantages and Disadvantages. 4. Upscaling Profits in Financial Market. 5. Credit and Risk Analysis in the Financial and Banking Sectors: An Investigation. 6. Cryptocurrencies and Blockchain Technology Applications. 7. Machine Learning and the Optimal Choice of Asset Pricing Model. 8. Testing for Market Efficiency Using News-Driven Sentiment: Evidence from Select NYSE Stocks. 9. Comparing Statistical, Deep Learning, and Additive Models for Forecasting in the Indian Stock Market. 10. Applications and Impact of Artificial Intelligence in the Finance Sector.
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