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Financial Bubbles: Mechanisms and Diagnostics

Author

Listed:
  • Didier SORNETTE

    (ETH Zurich and Swiss Finance Institute)

  • Peter CAUWELS

    (ETH Zurich)

Abstract

Financial bubbles are subject to debate and controversy. However, they are not well understood and are hardly ever characterised specifically, especially ex ante. We define a bubble as a period of unsustainable growth, when the price of an asset increases ever more quickly, in a series of accelerating phases of corrections and rebounds. More technically, during a bubble phase, the price follows a faster-than-exponential power law growth process, often accompanied by log-periodic oscillations. This dynamic ends abruptly in a change of regime that may be a crash or a substantial correction. Because they leave such specific traces, bubbles may be recognised in advance: that is, before they burst. In this paper, we will explain the mechanism behind financial bubbles in an intuitive way. We will show how the log-periodic power law emerges spontaneously from the complex system that financial markets are as a consequence of feedback mechanisms, hierarchical structure and specific trading dynamics and investment styles. We argue that the risk of a major correction, or even a crash, becomes substantial when a bubble develops towards maturity, and that it is therefore very important to find evidence of bubbles and to follow their development from as early a stage as possible. The tools that are explained in this paper actually serve that purpose. They are at the core of the Financial Crisis Observatory at the ETH in Zurich where tens of thousands of assets are monitored on a daily basis. This allows us to have a continuous overview of emerging bubbles in the global financial markets. The report available as part of the Notenstein white paper series (2014) with the title “Financial Bubbles: Mechanism, diagnostic and state of the world (Feb. 2014)” presents a practical application of the methodology outlined in this article and describes our view on the status of positive and negative bubbles in the financial markets, as of the end of January 2014.

Suggested Citation

  • Didier SORNETTE & Peter CAUWELS, 2014. "Financial Bubbles: Mechanisms and Diagnostics," Swiss Finance Institute Research Paper Series 14-28, Swiss Finance Institute.
  • Handle: RePEc:chf:rpseri:rp1428
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    File URL: http://ssrn.com/abstract=2423790
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    Citations

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    Cited by:

    1. Ionuț Nica & Ștefan Ionescu & Camelia Delcea & Nora Chiriță, 2024. "Quantitative Modeling of Financial Contagion: Unraveling Market Dynamics and Bubble Detection Mechanisms," Risks, MDPI, vol. 12(2), pages 1-42, February.
    2. Keller-Ressel, Martin, 2015. "Simple examples of pure-jump strict local martingales," Stochastic Processes and their Applications, Elsevier, vol. 125(11), pages 4142-4153.
    3. Ozkan Haykir & Ibrahim Yagli, 2022. "Speculative bubbles and herding in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-33, December.
    4. Iliyasu, Jamilu & Rafindadi Sanusi, Aliyu & Suleiman, Dahiru, 2019. "Testing For Multiple Bubble Episodes In Nigerian Stock Exchange Market," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 6(6), pages 13-26, June.
    5. Cerruti, Gianluca & Lombardini, Simone, 2022. "Financial bubbles as a recursive process lead by short-term strategies," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 555-568.
    6. von der Becke Susanne & Sornette Didier, 2019. "An Asset-Based Framework of Credit Creation (applied to the Global Financial Crisis)," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 9(2), pages 1-21, July.
    7. Martin Keller-Ressel, 2014. "Simple examples of pure-jump strict local martingales," Papers 1405.2669, arXiv.org, revised Jun 2015.
    8. Zura Kakushadze, 2016. "On Origins of Bubbles," Papers 1610.03769, arXiv.org, revised Jul 2017.
    9. Geuder, Julian & Kinateder, Harald & Wagner, Niklas F., 2019. "Cryptocurrencies as financial bubbles: The case of Bitcoin," Finance Research Letters, Elsevier, vol. 31(C).

    More about this item

    Keywords

    systemic crisis; change of regime; financial bubble; bifurcation; instability; precursors; singularity; prediction; super-exponential; log-periodic; hierarchies; positive feedbacks; procyclicality;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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