Artificial Intelligence in Finance

By (author)Yves Hilpisch
  • Free Delivery

    Orders over 1000 EGP

  • Payment

    Cash on delivery

330,00 EGP

The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you’ll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading.

Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you’ll be able to replicate all results and figures presented in the book.

In five parts, this guide helps you:

  • Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI)
  • Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice
  • Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets
  • Identify and exploit economic inefficiencies through backtesting and algorithmic trading–the automated execution of trading strategies
  • Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about

Table of contents

I. Machine Intelligence
1. Artificial Intelligence
2. Superintelligence

II. Finance and Machine Learning
3. Normative Finance

4. Data-Driven Finance

5. Machine Learning

6. AI-First Finance

III. Statistical Inefficiencies
7. Dense Neural Networks
8. Recurrent Neural Networks

9. Reinforcement Learning

IV. Algorithmic Trading

10. Vectorized Backtesting
11. Risk Management

12. Execution and Deployment

V. Outlook
13. AI-Based Competition
14. Financial Singularity

VI. Appendixes

A. Interactive Neural Networks
B. Neural Network Classes

C. Convolutional Neural Networks




Book Author (s)

Customer Reviews

There are no reviews yet.

Be the first to review “Artificial Intelligence in Finance”

Your email address will not be published. Required fields are marked *