Previous: Picking Corporate Bonds: Credit-Sensitive Security Selection (Part 1)
In Part 1, we covered value signals and default models for corporate bonds. Now let’s get into the other three investment themes: momentum, carry, and defensive. Then we’ll see what happens when you combine them all. And yes, we’ll talk about machine learning too.
So this is the last post. Eight posts later, we have walked through the entire first half of Artificial Intelligence in Finance by Yves Hilpisch. AI fundamentals, neural networks, superintelligence, financial theory. A lot of ground.
This section of Chapter 3 is where things start to click. Hilpisch moves from talking about AI algorithms in general to showing how neural networks actually work. And then he drops a truth bomb that a lot of people skip over: your model is only as good as your data.
Chapter 3 of Artificial Intelligence in Finance opens with the quote about AlphaGo beating a human Go player. That event was a big deal back in 2016. People thought it would take at least another decade. It didn’t. And that sets the tone for this chapter. AI moves faster than experts predict.
Book: Artificial Intelligence in Finance Author: Yves Hilpisch Publisher: O’Reilly, 2020 ISBN: 978-1-492-05543-3
Here’s a question that bugs me. Can AI actually beat the stock market? Not in a sci-fi movie way. In a real, consistent, make-money-while-you-sleep way.