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Hands-On Artificial Intelligence for Banking

You're reading from  Hands-On Artificial Intelligence for Banking

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781788830782
Pages 240 pages
Edition 1st Edition
Languages
Authors (2):
Jeffrey Ng Jeffrey Ng
Profile icon Jeffrey Ng
Subhash Shah Subhash Shah
Profile icon Subhash Shah
View More author details

Table of Contents (14) Chapters

Preface 1. Section 1: Quick Review of AI in the Finance Industry
2. The Importance of AI in Banking 3. Section 2: Machine Learning Algorithms and Hands-on Examples
4. Time Series Analysis 5. Using Features and Reinforcement Learning to Automate Bank Financing 6. Mechanizing Capital Market Decisions 7. Predicting the Future of Investment Bankers 8. Automated Portfolio Management Using Treynor-Black Model and ResNet 9. Sensing Market Sentiment for Algorithmic Marketing at Sell Side 10. Building Personal Wealth Advisers with Bank APIs 11. Mass Customization of Client Lifetime Wealth 12. Real-World Considerations 13. Other Books You May Enjoy
Predicting the Future of Investment Bankers

In the previous chapter, we understood the basic financial and capital market concepts. We looked at how AI can help us in optimizing the best capital structure by running risk models and generating sales forecasts using macro-economic data. We also looked at how useful AI is while planning the financial internals of an organization and external investors' communication. We then looked at two examples – the first regarding how to optimize the funding mix of debt and equity and the second regarding performing a financial forecast that could help us with financially planning capital demand.

The goal of this chapter is to introduce additional techniques that can be used for financial planning. You will learn how to perform auto syndication for new issues so that the capital can be obtained from the interested investors. Then, you will learn how to identify acquirers...

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