Barbara Alemanni – författare
1 933 kr
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443 kr
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This book adopts a forward-looking agenda that takes account of existing practices based on behavioural science. It focuses on how to make financial markets an arena for fair play as a central criterion for securing and enhancing societal well being. It examines how bounded rationality, heuristic decision making, aversion to losses, endowment effects and social preferences may impact financial decisions, thus exposing the flaws in traditional forecasting methods that rely on an over-simplified representation of the individual.
With contributions from both academics and practitioners, this book will be fundamental reading for researchers in the finance and behavioural economics. Regulators who wish to utilise behavioural policymaking will also find this a beneficial read.
Contributors include: B. Alemanni, C. Attia, M. Bianco, G. Bracchi, E. Cervellati, C. Cruciani, G. De Felice, M. Egidi, U. Filotto, F. Franceschi, G. Gardenal, G. Gigerenzer, C. Giorgiantonio, D. Hilton, N. Linciano, A. Lojschova, D. Masciandaro, B. Mojon, P. Mottura, S. Mousavi, A. Penalver, L. Portelli, U. Rigoni, S. Rossi, Z. Rotondi, G. Sillari, A. Varaldo, R. Viale, G. Zevi
2 020 kr
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433 kr
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Featuring contributions from authors with diverse methodological and ideological backgrounds, Financial Education and Risk Literacy offers a rich and multifaceted debate. Chapters explore theory and empirical evidence, utilising investigations of programmes deployed and the outcomes of experiments. This book also complements the emerging literature by studying how individuals perceive and process information when making financial decisions.
Economics students and scholars, in particular those studying behavioural economics, will appreciate the forward-looking agenda of this book. Its insights into how policymakers can benefit from a behavioural approach will also help regulators in the financial education sector.
1 811 kr
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443 kr
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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.