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Cognition, market sentiment and financial instability

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  • Sheila C. Dow

Abstract

The purpose of this paper is to explore the role for psychology within an open-system structural theory of financial instability, and to consider the implications for policy. While behavioural finance has drawn on ideas from psychology in order to explain evidence of behaviour that deviates from the rationality axioms, it is argued that the way in which psychology is framed by this approach is unduly limiting. Minsky's structural theory of financial instability, with its Keynesian (and ultimately Humean) roots, incorporates psychology into the theoretical foundations. In particular, cognition and sentiment are shown to be interconnected rather than separable. It is concluded that the policy implications for addressing the current crisis, while apparently similar between these different approaches, are in fact very different. The underlying theory involves different methodology, and indeed different framing, from behavioural finance. The way in which the crisis is understood is therefore important for policy. Copyright The Author 2010. Published by Oxford University Press on behalf of the Cambridge Political Economy Society. All rights reserved., Oxford University Press.

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  • Sheila C. Dow, 2011. "Cognition, market sentiment and financial instability," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 35(2), pages 233-249.
  • Handle: RePEc:oup:cambje:v:35:y:2011:i:2:p:233-249
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    File URL: http://hdl.handle.net/10.1093/cje/beq029
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    Cited by:

    1. Gric, Zuzana & Bajzík, Josef & Badura, Ondřej, 2023. "Does sentiment affect stock returns? A meta-analysis across survey-based measures," International Review of Financial Analysis, Elsevier, vol. 89(C).
    2. Dow Alexander & Dow Sheila C., 2011. "Animal Spirits Revisited," Capitalism and Society, De Gruyter, vol. 6(2), pages 1-25, December.
    3. Gambetta, Nicolás & García-Benau, María Antonia & Zorio-Grima, Ana, 2016. "Data analytics in banks' audit: The case of loan loss provisions in Uruguay," Journal of Business Research, Elsevier, vol. 69(11), pages 4793-4797.
    4. Zamri Ahmad & Haslindar Ibrahim & Jasman Tuyon, 2017. "Behavior of fund managers in Malaysian investment management industry," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 9(3), pages 205-239, August.
    5. Gianfranco Giulioni & Marcello Silvestri & Edgardo Bucciarelli, 2017. "Firms’ Finance in an Experimentally Microfounded Agent-Based Macroeconomic Model," Metroeconomica, Wiley Blackwell, vol. 68(2), pages 259-320, May.
    6. Sheila Dow, 2020. "Gender and the future of macroeconomics: an evolutionary approach," Review of Evolutionary Political Economy, Springer, vol. 1(1), pages 55-66, May.
    7. Geoffrey M Hodgson, 2012. "On the Limits of Rational Choice Theory," Economic Thought, World Economics Association, vol. 1(1), pages 1-5, July.
    8. Teodoro Dario Togati, 2012. "How to Explain the Persistence of the Great Recession? A Balanced Stability Approach," Working papers 014, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    9. Annina Kaltenbrunner, 2018. "Financialised internationalisation and structural hierarchies: a mixed-method study of exchange rate determination in emerging economies," Cambridge Journal of Economics, Oxford University Press, vol. 42(5), pages 1315-1341.
    10. Mateusz Polak, 2012. "The Misinformation Effect In Financial Markets – An Emerging Issue In Behavioural Finance," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 8(3), pages 55-61, October.
    11. Zamri Ahmad & Haslindar Ibrahim & Jasman Tuyon, 2017. "Institutional investor behavioral biases: syntheses of theory and evidence," Management Research Review, Emerald Group Publishing Limited, vol. 40(5), pages 578-603, May.
    12. Esra Alp Coşkun & Hakan Kahyaoglu & Chi Keung Marco Lau, 2023. "Which return regime induces overconfidence behavior? Artificial intelligence and a nonlinear approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    13. Zuzana Gric & Josef Bajzik & Ondrej Badura, 2021. "Does Sentiment Affect Stock Returns? A Meta-analysis Across Survey-based Measures," Working Papers 2021/10, Czech National Bank.
    14. Rotermund, Sophie-Dorothee, 2019. "Assessing systemic risk: An analysis of the German banking sector," IPE Working Papers 129/2019, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    15. Chiarella Carl & Di Guilmi Corrado & Zhi Tianhao, 2020. "“Animal spirits” and bank’s lending behaviour, a disequilibrium approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-21, April.
    16. Dirk G. Baur & Thomas K.J. McDermott, 2011. "Safe Haven Assets and Investor Behaviour Under Uncertainty," The Institute for International Integration Studies Discussion Paper Series iiisdp392, IIIS, revised Feb 2012.
    17. Nicolás Gambetta & María Antonia García-Benau & Ana Zorio-Grima, 2017. "Corporate social responsibility and bank risk profile: evidence from Europe," Service Business, Springer;Pan-Pacific Business Association, vol. 11(3), pages 517-542, September.
    18. Maryna Brychko & Tetyana Vasilyeva & Zuzana Rowland & Serhiy Lyeonov, 2021. "Does the real estate market behavior predict the trust crisis in the financial sector? The case of the ECB and the Euro," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(4), pages 711-740, December.
    19. Anastasia Nesvetailova, 2015. "A Crisis of the Overcrowded Future: Shadow Banking and the Political Economy of Financial Innovation," New Political Economy, Taylor & Francis Journals, vol. 20(3), pages 431-453, June.
    20. Tianhao Zhi, 2016. "Animal Spirits and Financial Instability - A Disequilibrium Macroeconomic Perspective," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2016.

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