Book Image

Hands-On Artificial Intelligence for Banking

By : Jeffrey Ng, Subhash Shah
Book Image

Hands-On Artificial Intelligence for Banking

By: Jeffrey Ng, Subhash Shah

Overview of this book

Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI. You’ll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you’ll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you’ll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you’ll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you’ll get to grips with some real-world AI considerations in the field of banking. By the end of this book, you’ll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI.
Table of Contents (14 chapters)
Section 1: Quick Review of AI in the Finance Industry
Section 2: Machine Learning Algorithms and Hands-on Examples
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...