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How Market Intervention can Prevent Bubbles and Crashes: An Agent Based Modelling Approach

Author

Listed:
  • Rebecca Westphal

    (ETH Zürich)

  • Didier Sornette

    (ETH Zürich
    Southern University of Science and Technology
    Tokyo Institute of Technology)

Abstract

Using a previously validated agent-based model with fundamentalists and chartists, we investigate the usefulness and impact of direct market intervention. The policy maker diagnoses bubbles by forming an expectation of the future returns, then invests in burgeoning bubbles to develop a sufficient inventory of the risky asset in order to be able to sell adequate amounts of the overpriced asset later countercyclically to fight market exuberance. Preventing bubbles and crashes, this market intervention improves all analysed market return metrics, volatility, skewness, kurtosis and VaR, without affecting long-term growth. This increases the Sharpe ratios of noise traders and of fundamentalists by approximately 28% and 45% respectively. The results are robust even for substantially miscalibrated long-term expected returns.

Suggested Citation

  • Rebecca Westphal & Didier Sornette, 2024. "How Market Intervention can Prevent Bubbles and Crashes: An Agent Based Modelling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1315-1356, September.
  • Handle: RePEc:kap:compec:v:64:y:2024:i:3:d:10.1007_s10614-023-10462-8
    DOI: 10.1007/s10614-023-10462-8
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    1. Ben S. Bernanke & Mark Gertler, 2001. "Should Central Banks Respond to Movements in Asset Prices?," American Economic Review, American Economic Association, vol. 91(2), pages 253-257, May.
    2. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    3. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Caballero, Ricardo J. & Krishnamurthy, Arvind, 2006. "Bubbles and capital flow volatility: Causes and risk management," Journal of Monetary Economics, Elsevier, vol. 53(1), pages 35-53, January.
    5. Enrica Carbone & John D. Hey, 2018. "Which Error Story is Best?," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 16, pages 365-380, World Scientific Publishing Co. Pte. Ltd..
    6. Nouriel Roubini, 2006. "Why Central Banks Should Burst Bubbles," International Finance, Wiley Blackwell, vol. 9(1), pages 87-107, May.
    7. Chiarella, Carl & Dieci, Roberto & Gardini, Laura, 2006. "Asset price and wealth dynamics in a financial market with heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1755-1786.
    8. Laurent Barras & Olivier Scaillet & Russ Wermers, 2010. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," Journal of Finance, American Finance Association, vol. 65(1), pages 179-216, February.
    9. Sornette, Didier & Cauwels, Peter, 2015. "Managing risk in a creepy world," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 8(1), pages 83-108, January.
    10. Anders Johansen & Didier Sornette, 2010. "Shocks, Crashes and Bubbles in Financial Markets," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 53(2), pages 201-253.
    11. Ben S. Bernanke & Mark Gertler, 1999. "Monetary policy and asset price volatility," Economic Review, Federal Reserve Bank of Kansas City, vol. 84(Q IV), pages 17-51.
    12. Alan Kirman, 2012. "Can Artificial Economies Help us Understand Real Economies?," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 15-41.
    13. Stephen G. Cecchetti & Hans Genberg & Sushil Wadhwani, 2002. "Asset Prices in a Flexible Inflation Targeting Framework," NBER Working Papers 8970, National Bureau of Economic Research, Inc.
    14. Galí, Jordi & Giusti, Giovanni & Noussair, Charles N., 2021. "Monetary Policy and Asset Price Bubbles: A Laboratory Experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    15. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    16. Sornette, Didier & Cauwels, Peter, 2015. "Financial Bubbles: Mechanisms and Diagnostics," Review of Behavioral Economics, now publishers, vol. 2(3), pages 279-305, October.
    17. Kaizoji, Taisei & Leiss, Matthias & Saichev, Alexander & Sornette, Didier, 2015. "Super-exponential endogenous bubbles in an equilibrium model of fundamentalist and chartist traders," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 289-310.
    18. Ljungqvist, Lars & Sargent, Thomas J., 2012. "Recursive Macroeconomic Theory, Third Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262018748, December.
    19. Didier SORNETTE, 2009. "Dragon-Kings, Black Swans and the Prediction of Crises," Swiss Finance Institute Research Paper Series 09-36, Swiss Finance Institute.
    20. Westphal, Rebecca & Sornette, Didier, 2020. "Market impact and performance of arbitrageurs of financial bubbles in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 1-23.
    21. Wadhwani, Sushil, 2008. "Should Monetary Policy Respond To Asset Price Bubbles? Revisiting the Debate," National Institute Economic Review, National Institute of Economic and Social Research, vol. 206, pages 25-34, October.
    22. Bao, Te & Zong, Jichuan, 2019. "The impact of interest rate policy on individual expectations and asset bubbles in experimental markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    23. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    24. Fischbacher, Urs & Hens, Thorsten & Zeisberger, Stefan, 2013. "The impact of monetary policy on stock market bubbles and trading behavior: Evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 37(10), pages 2104-2122.
    25. Miao, Jianjun & Wang, Pengfei & Zhou, Jing, 2015. "Asset bubbles, collateral, and policy analysis," Journal of Monetary Economics, Elsevier, vol. 76(S), pages 57-70.
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    More about this item

    Keywords

    Financial bubbles; Agent-based model; Arbitrageurs; Prediction; Noise traders; Fundamentalists; Market intervention;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • G01 - Financial Economics - - General - - - Financial Crises
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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