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Epistemic Limits of Empirical Finance: Causal Reductionism and Self-Reference

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  • Daniel Polakow
  • Tim Gebbie
  • Emlyn Flint

Abstract

The clarion call for causal reduction in the study of capital markets is intensifying. However, in self-referencing and open systems such as capital markets, the idea of unidirectional causation (if applicable) may be limiting at best, and unstable or fallacious at worst. In this work, we critically assess the use of scientific deduction and causal inference within the study of empirical finance and financial econometrics. We then demonstrate the idea of competing causal chains using a toy model adapted from ecological predator/prey relationships. From this, we develop the alternative view that the study of empirical finance, and the risks contained therein, may be better appreciated once we admit that our current arsenal of quantitative finance tools may be limited to ex post causal inference under popular assumptions. Where these assumptions are challenged, for example in a recognizable reflexive context, the prescription of unidirectional causation proves deeply problematic.

Suggested Citation

  • Daniel Polakow & Tim Gebbie & Emlyn Flint, 2023. "Epistemic Limits of Empirical Finance: Causal Reductionism and Self-Reference," Papers 2311.16570, arXiv.org, revised Sep 2024.
  • Handle: RePEc:arx:papers:2311.16570
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    References listed on IDEAS

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    1. Wayne E. Ferson & Campbell R. Harvey, 1999. "Conditioning Variables and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 54(4), pages 1325-1360, August.
    2. Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
    3. Thomas Lux, 2021. "Can heterogeneous agent models explain the alleged mispricing of the S&P 500?," Quantitative Finance, Taylor & Francis Journals, vol. 21(9), pages 1413-1433, September.
    4. Cars Hommes, 2021. "Behavioral and Experimental Macroeconomics and Policy Analysis: A Complex Systems Approach," Journal of Economic Literature, American Economic Association, vol. 59(1), pages 149-219, March.
    5. Hirshleifer, David & Lo, Andrew W. & Zhang, Ruixun, 2023. "Social contagion and the survival of diverse investment styles," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
    6. R. David Mclean & Jeffrey Pontiff, 2016. "Does Academic Research Destroy Stock Return Predictability?," Journal of Finance, American Finance Association, vol. 71(1), pages 5-32, February.
    7. Oskar Morgenstern, 1972. "Descriptive, Predictive And Normative Theory," Kyklos, Wiley Blackwell, vol. 25(4), pages 699-714, November.
    8. Xavier De Scheemaekere, 2009. "The epistemology of modern finance," The Journal of Philosophical Economics, Bucharest Academy of Economic Studies, The Journal of Philosophical Economics, vol. 2(2), pages 99-120, May.
    9. Anwar Shaikh, 2013. "On the role of reflexivity in economic analysis," Journal of Economic Methodology, Taylor & Francis Journals, vol. 20(4), pages 439-445, December.
    10. McCloskey, Donald N, 1983. "The Rhetoric of Economics," Journal of Economic Literature, American Economic Association, vol. 21(2), pages 481-517, June.
    11. Antoine Falck & Adam Rej & David Thesmar, 2022. "When do systematic strategies decay?," Quantitative Finance, Taylor & Francis Journals, vol. 22(11), pages 1955-1969, November.
    12. Donald MacKenzie, 2006. "An Engine, Not a Camera: How Financial Models Shape Markets," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262134608, April.
    13. Donald MacKenzie & Fabian Muniesa & Lucia Siu, 2007. "Introduction to Do Economists Make Markets? On the Performativity of Economics," Introductory Chapters, in: Donald MacKenzie & Fabian Muniesa & Lucia Siu (ed.),Do Economists Make Markets? On the Performativity of Economics, Princeton University Press.
    14. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
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