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Hands-On Artificial Intelligence for Banking

You're reading from   Hands-On Artificial Intelligence for Banking A practical guide to building intelligent financial applications using machine learning techniques

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781788830782
Length 240 pages
Edition 1st Edition
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Authors (2):
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Subhash Shah Subhash Shah
Author Profile Icon Subhash Shah
Subhash Shah
Jeffrey Ng Jeffrey Ng
Author Profile Icon Jeffrey Ng
Jeffrey Ng
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Table of Contents (14) Chapters Close

Preface 1. Section 1: Quick Review of AI in the Finance Industry
2. The Importance of AI in Banking FREE CHAPTER 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

Identifying acquirers and targets

There has been a long history of corporate finance research in the field of acquirers and targets, and our challenge is to apply this rich body of research to the real world. Hedge funds have been applying these research findings as merger arbitrage, and M&A bankers have always had their eyes on scoring and assessing the market on a regular basis (for example, reading the morning news).

In this chapter, we will assume that you are an M&A banker looking for organization opportunities. To optimize our time allocation, we can allocate our time better by focusing on clients that can close the deal. Therefore, we will use a model to predict the probability of us being the acquirers or targets in M&A.

The current new generation of investment bankers should use automated financial modeling tools. Over time, data can be captured, and then prediction capability can be added to assist bankers in financial modeling. The current...

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