Artificial Intelligence for Capital Markets
eBook - ePub

Artificial Intelligence for Capital Markets

  1. 172 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence for Capital Markets

About this book

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.

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Yes, you can access Artificial Intelligence for Capital Markets by Syed Hasan Jafar, Hemachandran K, Hani El-Chaarani, Sairam Moturi, Neha Gupta, Syed Hasan Jafar,Hemachandran K,Hani El-Chaarani,Sairam Moturi,Neha Gupta in PDF and/or ePUB format, as well as other popular books in Informatica & Informatica generale. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2023
eBook ISBN
9781000867664
Topic
Informatica
Subtopic
Informatica generale

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. About the Editors
  8. Contributors
  9. Chapter 1 Artificial Intelligence in the Financial Services Industry
  10. Chapter 2 Machine Learning and Big Data in Finance Services
  11. Chapter 3 Artificial Intelligence in Financial Services: Advantages and Disadvantages
  12. Chapter 4 Upscaling Profits in Financial Market
  13. Chapter 5 Credit and Risk Analysis in the Financial and Banking Sectors: An Investigation
  14. Chapter 6 Cryptocurrencies and Blockchain Technology Applications
  15. Chapter 7 Machine Learning and the Optimal Choice of Asset Pricing Model
  16. Chapter 8 Testing for Market Efficiency Using News-Driven Sentiment: Evidence from Select NYSE Stocks
  17. Chapter 9 Comparing Statistical, Deep Learning, and Additive Models for Forecasting in the Indian Stock Market
  18. Chapter 10 Applications and Impact of Artificial Intelligence in the Finance Sector
  19. Index