Abstract
The efficient market hypothesis (in its varying forms) has allowed for the creation of financial models based on share price movements ever since its inception. This chapter explores the impact of artificial intelligence (AI) on the efficient market hypothesis. Furthermore, it studies theories that influence market efficiency and how they are changed by the advances in AI and how they impact on market efficiency. It surmises that advances in AI and its applications in financial markets make markets more efficient.
Keywords
- Efficient Market Hypothesis
- Equilibrium Aggregate Price
- Behavioral Economics
- Market Inefficiencies
- Lower Asymmetric Information
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Aboody D, Lev B (2000) Information asymmetry, R&D, and insider gains. J Financ 55(6):2747–2766
Akerlof GA (1970) The market for “lemons”: quality uncertainty and the market mechanism. Quart J Econ 84(3):488–500
Debreu G (1972) Theory of value: an axiomatic analysis of economic equilibrium. Cowles Foundation – Yale University, New Haven
Dewey, J. (1939). Theory of valuation. University of Chicago, USA
Fama E (1970) Efficient capital markets: a review of theory and empirical work. J Financ 25(2):383–417
Fischer T (2014) No-arbitradge pricing under systematic risk: accounting for cross-ownership. Math Financ 24(1):97–124
Friedman J (1996) The rational choice controversy. Yale University Press, New Haven
Green DP, Shapiro I (1994) Pathologies of rational choice theory: a critique of applications in political science. Yale University Press, New Haven
Grüne-Yanoff T (2012) “Paradoxes of Rational Choice Theory”. In: Sabine R, Rafaela H, Per S, Martin P (Hrsg) Handbook of Risk Theory, pp. 499–516. doi:10.1007/978-94-007-1433-5_19
Heap SH (2004) Game theory: a critical introduction. Routledge, Abingdon
Hedström P, Stern C (2008) Rational choice and sociology. The New Palgrave Dictionary of Economics, 2nd Edition. Abstract
Irons B, Hepburn C (2007) Regret theory and the tyranny of choice. Econ Rec 83(261):191–203
Kahneman K (2011) Thinking, fast and slow. Macmillan, New York
Kahneman D, Tversky A (1979) Prospect theory: an analysis of decision under risk. Econometrica 47(2):263
Laffont J-J (1997) Game theory and empirical economics: the case of auction data. Europ Econom Rev 41:1–35
Mankiw NG, Taylor MP (2011) Economics (2nd ed., revised ed.). Cengage Learning, Andover
Marshall A (1920) Principles of economics. Library of cconomics and liberty. ISBN 0-256-01547-3
Marwala T (2013) Economic modeling using artificial intelligence methods. Springer, Heidelberg
Marwala T (2012) Condition monitoring using computational intelligence methods. Springer, Heidelberg
Marwala T, Lagazio M (2011) Militarized conflict modeling using computational intelligence. Springer, Heidelberg
Marwala T (2010) Finite element model updating using computational intelligence techniques: applications to structural dynamics. Springer, Heidelberg
Marwala T (2009) Computational intelligence for missing data imputation, estimation, and management: knowledge optimization techniques. IGI Global, Pennsylvania
Marwala T (2007) Computational Intelligence for Modelling Complex Systems. Research India Publications, Delhi
Marwala T (2014) Artificial intelligence techniques for rational decision making. Springer, Heidelberg
Simon H (1957) A behavioral model of rational choice. In: Models of man, social and rational: mathematical essays on rational human behavior in a social setting. Wiley, New York
Simon H (1990) A mechanism for social selection and successful altruism. Science 250(4988):1665–1668
Simon H (1991) Bounded rationality and organizational learning. Organ Sci 2(1):125–134
Spence M (1973) Job market signaling. Q J Econ (The MIT Press). 87(3):355–374
Stiglitz JE (1974) Incentives and risk sharing in sharecropping. Rev Econ Stud (Oxford Journals). 41(2):219–255
Tversky A, Kahneman D (1973) Availability: a heuristic for judging frequency and probability. Cogn Psychol 5(2):207–232
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Marwala, T., Hurwitz, E. (2017). Efficient Market Hypothesis. In: Artificial Intelligence and Economic Theory: Skynet in the Market. Advanced Information and Knowledge Processing. Springer, Cham. https://doi.org/10.1007/978-3-319-66104-9_9
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DOI: https://doi.org/10.1007/978-3-319-66104-9_9
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