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The Intersubjective Markets Hypothesis

Author

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  • Romain Bocher

Abstract

This study aims to introduce a new theoretical framework for capital markets understanding, reconciling findings from various disciplines such as anthropology, psychology, biology, statistics and physics. Assuming intersubjectivity to be the main driver of interactions between participants, the concept of market narrative is defined as subculture (or ideology) that influences the way investors react to both external events and endogenous dynamics. The new hypothesis is consistent with properties such as self-organisation, speculation, dependency, unboundedness, nonlinearity, dialogic and criticality. JEL: D40, D50, D53, D70, D80

Suggested Citation

  • Romain Bocher, 2022. "The Intersubjective Markets Hypothesis," Journal of Interdisciplinary Economics, , vol. 34(1), pages 35-50, January.
    • Handle: RePEc:sae:jinter:v:34:y:2022:i:1:p:35-50
    DOI: 10.1177/02601079211032109
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    1. Ammermann, Peter A. & Patterson, Douglas M., 2003. "The cross-sectional and cross-temporal universality of nonlinear serial dependencies: Evidence from world stock indices and the Taiwan Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 11(2), pages 175-195, April.
    2. Chen, Son-Nan, 1981. "Beta Nonstationarity, Portfolio Residual Risk and Diversification," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 16(1), pages 95-111, March.
    3. Robert J. Shiller, 2014. "Speculative Asset Prices (Nobel Prize Lecture)," Cowles Foundation Discussion Papers 1936, Cowles Foundation for Research in Economics, Yale University.
    4. C. H. Hommes, 2001. "Financial markets as nonlinear adaptive evolutionary systems," Quantitative Finance, Taylor & Francis Journals, vol. 1(1), pages 149-167.
    5. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    6. Aldo Levy & Larry Bensimhon, 2010. "The Origin of Stock-Market Crashes: Proposal for A Mimetic Model Using Behavioral Assumptions and An Analysis of Legal Mimicry," Post-Print halshs-01278035, HAL.
    7. Anders Johansen & Olivier Ledoit & Didier Sornette, 2000. "Crashes As Critical Points," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 219-255.
    8. Wayne E. Ferson, 2003. "Tests of Multifactor Pricing Models, Volatility Bounds and Portfolio Performance," NBER Working Papers 9441, National Bureau of Economic Research, Inc.
    9. Robert J. Shiller, 2014. "Speculative Asset Prices," American Economic Review, American Economic Association, vol. 104(6), pages 1486-1517, June.
    10. Qun Zhang & Qunzhi Zhang & Didier Sornette, 2016. "Early Warning Signals of Financial Crises with Multi-Scale Quantile Regressions of Log-Periodic Power Law Singularities," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-43, November.
    11. Shiller, Robert J, 1995. "Conversation, Information, and Herd Behavior," American Economic Review, American Economic Association, vol. 85(2), pages 181-185, May.
    12. John D. Hey & Andrea Morone, 2018. "Do Markets Drive Out Lemmings—or Vice Versa?," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 21, pages 467-489, World Scientific Publishing Co. Pte. Ltd..
    13. Emile Grunberg & Franco Modigliani, 1954. "The Predictability of Social Events," Journal of Political Economy, University of Chicago Press, vol. 62, pages 465-465.
    14. Mark Rubinstein, 1976. "The Valuation of Uncertain Income Streams and the Pricing of Options," Bell Journal of Economics, The RAND Corporation, vol. 7(2), pages 407-425, Autumn.
    15. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    16. Nagel, Rosemarie, 1995. "Unraveling in Guessing Games: An Experimental Study," American Economic Review, American Economic Association, vol. 85(5), pages 1313-1326, December.
    17. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    18. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    19. David Hartman & Jaroslav Hlinka, 2018. "Nonlinearity in stock networks," Papers 1804.10264, arXiv.org, revised Jun 2018.
    20. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    21. Romain Bocher, 2020. "Self-Organized Critical Markets: Implied Volatility and Avalanche Intensity," Post-Print hal-03352468, HAL.
    22. Vriend, Nicolaas J, 1995. "Self-Organization of Markets: An Example of a Computational Approach," Computational Economics, Springer;Society for Computational Economics, vol. 8(3), pages 205-231, August.
    23. repec:pri:cepsud:91malkiel is not listed on IDEAS
    24. Ferson, Wayne E., 2003. "Tests of multifactor pricing models, volatility bounds and portfolio performance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 12, pages 743-802, Elsevier.
    25. Hsieh, David A, 1989. "Modeling Heteroscedasticity in Daily Foreign-Exchange Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(3), pages 307-317, July.
    26. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    27. Aldo Levy & Larry Bensimhon, 2010. "The origin of stock-market crashes: proposal for a mimetic model using behavioral assumptions and an analysis of legal mimicry," Post-Print halshs-00593986, HAL.
    28. Jean-Philippe Bouchaud, 2010. "The endogenous dynamics of markets: price impact and feedback loops," Papers 1009.2928, arXiv.org.
    29. Witt, Ulrich, 1997. "Self-organization and economics--what is new?," Structural Change and Economic Dynamics, Elsevier, vol. 8(4), pages 489-507, October.
    30. Boettke, Peter & Coyne, Christopher (ed.), 2015. "The Oxford Handbook of Austrian Economics," OUP Catalogue, Oxford University Press, number 9780199811762.
    31. LeRoy, Stephen F, 1973. "Risk Aversion and the Martingale Property of Stock Prices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 436-446, June.
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    More about this item

    Keywords

    Capital markets; intersubjectivity; narratives; self-organised criticality; swarm intelligence;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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