Książka Artificial Intelligence for Financial Markets Thomas Barrau

Artificial Intelligence for Financial Markets

The Polymodel Approach

Język: Angielski
Oprawa: Twarda
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
543.99
This book introduces the novel artificial intelligence technique of polymodels and applies it to the...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2022
strony
172
EAN
9783030973186
Enbook ID
38633862
Waga
453
Wymiary
155 x 235 x 16

Pełny opis

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.

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