Artificial intelligence and financial behaviour

• Titel: Artificial intelligence and financial behaviour
• Mitwirkende: Viale, Riccardo [HerausgeberIn]
• Mitwirkende: Mousavi, Shabnam [HerausgeberIn]
• Mitwirkende: Filotto, Umberto [HerausgeberIn]
• Mitwirkende: Alemanni, Barbara [HerausgeberIn]
• Verf.angabe: edited by Riccardo Viale (University of Milano-Bicocca and the Herbert Simon Society, Italy), Shabnam Mousavi (Max Planck Institute for Human Development (MPIB), Berlin, Germany), Umberto Filotto (University of Rome "Tor Vergata", Italy), Barbara Alemanni (University of Genoa, Italy)
• Verlagsort: Cheltenham
• Verlag: Edward Elgar Publishing Ltd
• Jahr: 2023
• Umfang: ix, 255 Seiten
• Illustrationen: Illustrationen, Diagramme
• Gesamttitel/Reihe: Behavioural financial regulation and policy (BEFAIRLY) series
• Fussnoten: Literaturangaben
• ISBN: 978-1-80392-314-7
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Online-Ausgabe: Artificial intelligence and financial behaviour. - Cheltenham : Edward Elgar Publishing Ltd, 2023. - 1 Online-Ressource (266 Seiten)
• RVK-Notation: QK 820
• Sach-SW: Artificial intelligence
• Sach-SW: BUS069040
• Sach-SW: BUSINESS & ECONOMICS / Finance
• Sach-SW: Behavioural economics
• Sach-SW: COMPUTERS / Artificial Intelligence
• Sach-SW: Finance
• Sach-SW: Finanzen
• Sach-SW: Verhaltensökonomie
• K10plus-PPN: 1848837534

Abstract

Following rapid technological advancements that have taken place throughout the late twentieth and early twenty-first centuries, this intriguing book provides a dynamic agenda for the study of artificial intelligence (AI) within finance. Through an in-depth consideration of the use of AI, it utilizes case study examples to investigate AI s effectiveness within investment and banking.Artificial Intelligence and Financial Behaviour examines to what extent AI can guide people to improve their financial wellbeing. It explores potential effects of, and problems with, specific technologies, as well as describing current regulatory considerations regarding the use of AI and machine learning. Chapters succinctly portray the impact AI may have on investor and trader behaviour. This highly informative book will be beneficial for students and researchers studying behavioural and regulatory economics. It will also be immensely useful for financial regulators who are analysing problems from contemporary points of view