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Springer Artificial Intelligence for Financial Markets Book

Amazon

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Description

Explore the cutting edge of fintech with Artificial Intelligence for Financial Markets: The Polymodel Approach. Published by Springer, this text introduces the novel polymodel technique designed specifically for predicting stock returns. By describing a system through its sensitivities to an environment, polymodels imitate the spontaneous monitoring processes of a natural brain. This method utilizes a collection of non-linear univariate models, offering a powerful alternative to traditional multivariate regressions. Because the results are easy to interpret, this approach serves as an ideal preliminary step before moving toward traditional neural network methods. This book is an essential resource for those studying financial mathematics and the application of AI in modern market environments.

Key Features

This Springer publication introduces the novel polymodel technique for predicting stock returns in financial markets.

The polymodel approach describes systems by their sensitivities to an environment to mimic natural brain monitoring.

Users can utilize a collection of non-linear univariate models as a powerful alternative to multivariate regressions.

The method provides easy to interpret results that serve as a preliminary step toward traditional neural network approaches.

This book covers advanced topics in financial mathematics and fintech through the lens of artificial intelligence.

Product Specifications

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

Barcode

No barcode data available

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