£92.36

Artificial Intelligence for Financial Markets: The Polymodel Approach (Financial Mathematics and Fintech)

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£109.99 £56.13 £67.88 £79.63 £91.39 £103.14 £114.89 01 November 2024 21 February 2025 13 June 2025 03 October 2025 24 January 2026

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94 days 317 days 36 days · current 3 days 0 79 159 238 317 £61-71 £81-90 £90-100 £100-110 Days at Price

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Most common range: £81-90 (317 days, 70.4%)

Price range: £61 - £110

Price levels: 4 price ranges over 450 days

Description

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 describedwhich 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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 June 2022
Listed Since
26 January 2022

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