Artificial intelligence and financial behaviour / edited by Riccardo Viale, Shabnam Mousavi, and Umberto Filotto.

Format:

Book

Contributor:

Edward Elgar Publishing, publisher.

Viale, Riccardo, editor.

Modarres-Mousavi, Shabnam, editor.

Filotto, Umberto, editor.

Series:

Behavioural Financial Regulation and Policy (BEFAIRLY) Series

Language:

English

Subjects (All):

Artificial intelligence.

Consumer behavior.

Finance--Psychological aspects.

Finance.

Physical Description:

1 online resource (266 pages)

Place of Publication:

Cheltenham, England : Edward Elgar Publishing Limited, [2023]

Summary:

"Following rapid technological advancements that have taken place throughout the late 20th and early 21st 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 utilises 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"-- Provided by publisher.

Contents:

Front Matter

Copyright

Contents

Contributors

Preface

Introduction: Artificial intelligence should meet natural stupidity. But it cannot!

Part I AI and bounded rationality

1. Financial service providers, AI, satisficing, and the human touch in the market for financial nudges and boosts

2. The importance of structural rationality: understanding market institutions

3. Bits of individual knowledge in bytes of machines

4. Radical rationality allows coping with fundamental uncertainty on financial markets

5. Integrating heuristics and learning in a computational architecture for cognitive trading

Part II AI and markets

6. Artificial intelligence and conduct in wholesale markets

7. Using AI to assess credit risk

developing a model

8. Do we like robot? Consumers' attitude towards the algorithm

9. Financial consumers, digital interfaces and decision aids

10. FOMO and Covid and Cryptos, oh my!

11. How AI is re-shaping the financial industry: lights, shades and perspectives

12. 54,000 PRIIPs KIDs - how to read them (all)

13. Machine learning and artificial intelligence for risk management

Index.

Notes:

Includes bibliographical references and index.

Description based on print version record.

Includes index.

ISBN:

1-80392-315-6