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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

Concepts

Artificial Intelligence

Authors (2):

Jeffrey Ng

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

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Basics of investment banking

Investment banking will be the focus of this chapter. Therefore, you will need to understand a few basic concepts surrounding investment banking. We will begin by understanding the challenges of an Initial Public Offer, commonly known as an IPO. When a company decides to go to the stock market in order to acquire money from the public, they release an IPO for the public and institutions to subscribe to. We will also understand the concepts of M&A, as well as how to classify investors and apply AI to mergers and acquisitions.

The job of investment bankers in IPOs

The following are some of the core problems that investment bankers deal with:

Pricing:What is the right price for the new issuance (of equity)?
Syndication:Who should we distribute the shares to and at what price?
Listing:How can we register these shares with the markets (such as stock exchanges) so that they pass all the requirements...

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Authors (2)

Jeffrey Ng

Jeffrey Ng, CFA, works at Ping An OneConnect Bank (Hong Kong) Limited as Head of FinTech Solutions. His mandate is to advance the use of AI in banking and financial ecosystems. Prior to this, he headed up the data lab of BNP Paribas Asia Pacific, which constructed an AI and data analytics solution for business, and was the vice-chair of the French Chamber of Commerce's FinTech Committee in Hong Kong. In 2010, as one of the pioneers in applying client analytics to investment banking, he built the analytics team for the bank. He has undertaken AI projects in retail and commercial banks with PwC Consulting and GE Money. He graduated from Hong Kong Polytechnic University in computing and management and holds an MBA in finance from the Chinese University of Hong Kong.

See other products by Jeffrey Ng

Subhash Shah

Subhash Shah is an experienced solution architect. With 14 years of experience in software development, he works as an independent technical consultant now. He is an advocate of open source development and its utilization in solving critical business problems. His interests include Microservices architecture, Enterprise solutions, Machine Learning, Integrations and Databases. He is an admirer of quality code and test-driven development (TDD). His technical skills include translating business requirements into scalable architecture and designing sustainable solutions. He is a co-author of Hands-On High Performance with Spring 5, Hands-On AI for Banking and MySQL 8 Administrator's Guide. He has also been a technical reviewer for other books.

See other products by Subhash Shah

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