Artificial Intelligence and Beyond for Finance

Edited by Marco Corazza, René Garcia, Faisal Shah Khan, Davide La Torre and Hatem Masri

in World Scientific Books from World Scientific Publishing Co. Pte. Ltd.

Abstract: We wrote this book to help financial experts and investors to understand the state of the art of artificial intelligence and machine learning in finance. But first, what is artificial intelligence? The foundations of artificial intelligence lie in the human desire to automate. Often this desire has had foundations in grand civilization-defining visions or economic needs, such as the Antikythera mechanism, circa 200 BCE. Considered to be the oldest known example of an analog computer, it is thought that the mechanism automated the prediction of the positions of the sun, the moon, and the planets to assist in navigation.

Keywords: Artificial Intelligence; Machine Learning; Deep Learning; Reinforcement Learning; Sentiment Analysis; Portfolio Management; Financial Forecasting (search for similar items in EconPapers)
JEL-codes: C63 C8 G11 G17 (search for similar items in EconPapers)
Date: 2024
ISBN: 9781800615205
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https://www.worldscientific.com/worldscibooks/10.1142/q0449 (text/html)
Ebook Access is available upon purchase

Chapters in this book:

Ch 1 Machine Learning in Portfolio Decisions , pp 1-72

Massimo Guidolin

Ch 2 Natural Language Processing and Stock Returns , pp 73-102

Manuela Pedio

Ch 3 Portfolio Allocation and Reinforcement Learning , pp 103-148

René Garcia and Alissa Marinenko

Ch 4 Explainable Artificial Intelligence in Risk Management: A Framework , pp 149-206

Silvio Andrae

Ch 5 How Can Sentiment Analysis Contribute to Financial Markets and Services? , pp 207-234

Abraham Itzhak Weinberg

Ch 6 Quantum Fintech , pp 235-263

Alessio Faccia

Ch 7 Tail Dependence of Eurozone Bond Yields and Sovereign CDS Spreads , pp 265-287

Veni Arakelian, Roberto Savona and Marika Vezzoli

Ch 8 Stylized Facts of Decentralized Finance (DeFi) , pp 289-314

Yuanyuan Zhang, Stephen Chan, Jeffrey Chu, Xin Liao and Min Helu

Ch 9 Effective Systems for Bot Detection and Real-Time Stock Market Predictions , pp 315-336

Reem Abdulla Alkhalifa, Riadh Ksantini and Khaoula Tbarki

Ch 10 Reinforcement Machine Learning Optimization Algorithms for the Computation of Downside Risk and Investable Portfolios in Post 2007–2009 Financial Meltdown , pp 337-357

Mazin A.M. Al Janabi

Ch 11 Deep Learning in Insurance: An Incremental Deep Learning Approach for Pricing Prediction Strategy in the Insurance Industry , pp 359-391

Alaa Tareq Mohamed, Riadh Ksantini and Jihene Kaabi

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