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Financial crises in efficient markets: How fundamentalists fuel volatility

Author

Listed:
  • Ariane Szafarz

Abstract

When a financial crisis breaks out, speculators typically get the blame whereas fundamentalists are presented as the safeguard against excessive volatility. This paper proposes an asset pricing model where two types of rational traders coexist: short-term speculators and long-term fundamentalists, both sharing the same information set. In this framework, excess volatility not only exists, but is actually fueled by fundamental trading. Consequently, efficient markets are more volatile with a few speculators than with many speculators. Regulators should therefore be aware that efforts to limit rational speculation might, surprisingly, end up increasing volatility. © 2011 Elsevier B.V.

Suggested Citation

  • Ariane Szafarz, 2012. "Financial crises in efficient markets: How fundamentalists fuel volatility," ULB Institutional Repository 2013/149191, ULB -- Universite Libre de Bruxelles.
    • Handle: RePEc:ulb:ulbeco:2013/149191
    Note: SCOPUS: ar.j
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    Citations

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    Cited by:

    1. Ariane Szafarz, 2015. "Market Efficiency and Crises:Don’t Throw the Baby out with the Bathwater," Bankers, Markets & Investors, ESKA Publishing, issue 139, pages 20-26, November-.
    2. Brière, Marie & Chapelle, Ariane & Szafarz, Ariane, 2012. "No contagion, only globalization and flight to quality," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1729-1744.
    3. Matthijs Lof, 2015. "Rational Speculators, Contrarians, and Excess Volatility," Management Science, INFORMS, vol. 61(8), pages 1889-1901, August.
    4. Michael Heinrich Baumann & Michaela Baumann & Lars Grüne & Bernhard Herz, 2023. "Market Structure and Instability Artifacts in Heterogeneous Agent Models: Lessons from Implicit Discretizations of Stiff Equations," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 855-890, October.
    5. Leonel Arango-Vasquez, 2025. "From rational to behavioral: An epistemological bridge between Markowitz, Fama, and Shiller," Post-Print hal-05003891, HAL.
    6. Benoît D'Udekem, 2014. "Bank Cash Holdings and Investor Uncertainty," Working Papers CEB 14-002, ULB -- Universite Libre de Bruxelles.
    7. Xavier De Scheemaekere & Kim Oosterlinck & Ariane Szafarz, 2014. "Issues in Identifying Economic Crises: Insights from History," Working Papers CEB 14-014, ULB -- Universite Libre de Bruxelles.
    8. Oscar Bernal Diaz & Astrid Herinckx & Ariane Szafarz, 2014. "Which short-selling regulation is the least damaging to market efficiency? Evidence from Europe," Post-Print CEB, ULB -- Universite Libre de Bruxelles, vol. 37, pages 244-256, March.
    9. Hiremath, Gourishankar S. & Narayan, Seema, 2016. "Testing the adaptive market hypothesis and its determinants for the Indian stock markets," Finance Research Letters, Elsevier, vol. 19(C), pages 173-180.
    10. Kun Xing & Honggang Li, 2024. "Market Ecology: Trading Strategies and Market Volatility," Computational Economics, Springer;Society for Computational Economics, vol. 64(6), pages 3333-3351, December.
    11. Lof, Matthijs, 2013. "Essays on Expectations and the Econometrics of Asset Pricing," MPRA Paper 59064, University Library of Munich, Germany.
    12. Ryuichi Yamamoto, 2022. "Predictor Choice, Investor Types, and the Price Impact of Trades on the Tokyo Stock Exchange," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 325-356, January.

    More about this item

    Keywords

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    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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