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Artificial Intelligence and Financial Behaviour

Artificial Intelligence and Financial Behaviour

  • 作者:
  • 出版商: Edward Elgar Publishing
  • ISBN: 9781803923147
  • 出版时间 June 2023
  • 规格: Hardback
  • 适应领域: U.K. ? 免责申明:
    Countri(es) stated herein are used as reference only

List Price: RM676.88

RM656.57 Save RM20.30 (3%)

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  • 描述 
  • 大纲 
  • 详细

    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.

  • Preface viii
    Introduction: Artificial intelligence should meet natural stupidity. But it cannot! 1
    Riccardo Viale

    PART I: AI AND BOUNDED RATIONALITY
    1.
    Financial service providers, AI, satisficing, and the human touch in the market for financial nudges and boosts 30
    Hersh Shefrin
    2.
    The importance of structural rationality: understanding market institutions 51
    Shyam Sunder
    3.
    Bits of individual knowledge in bytes of machines 69
    Shabnam Mousav and Mario Rasetti
    4.
    Radical rationality allows coping with fundamental uncertainty on financial markets 89
    Paolo Sironi
    5.
    Integrating heuristics and learning in a computational architecture for cognitive trading 111
    Remo Pareschi and Federico Zappone

    PART II: AI AND MARKETS
    6.
    Artificial intelligence and conduct in wholesale markets 137
    Mark Yallop
    7.
    Using AI to assess credit risk; developing a model 144
    Umberto Filotto, Tommaso Giordani, Gian Paolo Stella and Filmon Teclai
    8.
    Do we like robot? Consumers’ attitude towards the algorithm 156
    Barbara Alemanni
    9.
    Financial consumers, digital interfaces and decision aids 174
    Peter D. Lunn
    10.
    FOMO and Covid and Cryptos, oh my! 192
    Steven Jon Kaplan
    11.
    How AI is re-shaping the financial industry: lights, shades and perspectives 205
    Paola Papanicolaou
    12.
    54,000 PRIIPs KIDs – how to read them (all) 215
    Adrien Amzallag
    13.
    Machine learning and artificial intelligence for risk management 240
    Edoardo Faletti

    Index

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