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Artificial Intelligence For Financial Markets The Polymodel Approach 1st Ed 2022 Thomas Barrau

SKU: BELL-46469720

$ 31.00 ~~$ 45.00~~ (-31%)

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Artificial Intelligence For Financial Markets The Polymodel Approach 1st Ed 2022 Thomas Barrau instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 7.92 MB

Pages: 186

Author: Thomas Barrau, Raphael Douady

ISBN: 9783030973186, 3030973182

Language: English

Year: 2022

Edition: 1st ed. 2022

Product desciption

Artificial Intelligence For Financial Markets The Polymodel Approach 1st Ed 2022 Thomas Barrau by Thomas Barrau, Raphael Douady 9783030973186, 3030973182 instant download after payment.

This book introduces the novel artificial intelligence technique of polymodels and applies it to the prediction of stock returns. The idea of polymodels is to describe a system by its sensitivities to an environment, and to monitor it, imitating what a natural brain does spontaneously. In practice this involves running a collection of non-linear univariate models. This very powerful standalone technique has several advantages over traditional multivariate regressions. With its easy to interpret results, this method provides an ideal preliminary step towards the traditional neural network approach.
The first two chapters compare the technique with other regression alternatives and introduces an estimation method which regularizes a polynomial regression using cross-validation. The rest of the book applies these ideas to financial markets. Certain equity return components are predicted using polymodels in very different ways, and a genetic algorithm is described which combines these different predictions into a single portfolio, aiming to optimize the portfolio returns net of transaction costs. Addressed to investors at all levels of experience this book will also be of interest to both seasoned and non-seasoned statisticians.