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Published in:
Introduction to Man and Machines Read chapter Read first chapter

2017 | OriginalPaper | Chapter

13. Financial Engineering

Authors : Tshilidzi Marwala, Evan Hurwitz

Published in: Artificial Intelligence and Economic Theory: Skynet in the Market

Publisher: Springer International Publishing

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Abstract

Financial engineering has grown with the advent of computing and this growth has accelerated in the last decade with the advances in artificial intelligence (AI). This chapter explores how subjects such as evolution, deep learning and big data are changing the effectiveness of quantitative finance. This chapter explores the problem of estimating HIV risk, simulating the stock market using multi-agent systems, applying control systems for inflation targeting and factor analysis. The results demonstrate that AI improves the estimation of HIV risk, makes stock markets homogeneous and efficient, is a good basis for building models that target inflation and enhances the identification of factors that drive inflation.

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previous chapter Counterfactuals
next chapter Causality
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Metadata
Title
Financial Engineering
Authors
Tshilidzi Marwala
Evan Hurwitz
Copyright Year
2017
Book
Artificial Intelligence and Economic Theory: Skynet in the Market

Print ISBN: 978-3-319-66103-2

Electronic ISBN: 978-3-319-66104-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-66104-9_13

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