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Adverse effects of leverage and short-selling constraints in a financial market model with heterogeneous agents

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  • in ׳t Veld, Daan

Abstract

This paper investigates the impact of leverage and short-selling constraints on financial market stability. Investors׳ demand is modelled in a well-known asset pricing model with heterogeneous beliefs. In particular, I generalise the heterogeneous agents model of Brock and Hommes (1998) and Anufriev and Tuinstra (2013) to allow for leverage constraints as well as a short-selling tax. I consider two examples of adaptive belief systems describing the coevolution of prices and investors׳ beliefs. First, if the market is inhabited by fundamentalist and chartist traders, demand constraints have potential adverse effects and may restrict the stabilising fundamentalist strategy such that mispricing and price volatility increase. Second, if the market is inhabited by fundamentalists, optimists and pessimists with fixed beliefs, demand constraints drive down price volatility, but mispricing remains. The results suggest the stabilising effects of demand constraints in financial markets are limited. Only if asset prices are too high compared to fundamentals, policy makers should consider constraining leverage ratios in order to deflate financial bubbles.

Suggested Citation

  • in ׳t Veld, Daan, 2016. "Adverse effects of leverage and short-selling constraints in a financial market model with heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 45-67.
    • Handle: RePEc:eee:dyncon:v:69:y:2016:i:c:p:45-67
    DOI: 10.1016/j.jedc.2016.05.005
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    Cited by:

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    2. Pullman, Ashley & Gauly, Britta & Lechner, Clemens M., 2021. "Short-term earnings mobility in the Canadian and German context: the role of cognitive skills," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55(55), pages 1-.10.
    3. Aminian, Armin, 2025. "Hush the rush: Short-selling bans in times of stress," BERG Working Paper Series 210, Bamberg University, Bamberg Economic Research Group.
    4. Bolt, Wilko & Demertzis, Maria & Diks, Cees & Hommes, Cars & Leij, Marco van der, 2019. "Identifying booms and busts in house prices under heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 234-259.
    5. repec:iab:iabjlr:v:55:i::p:art.10 is not listed on IDEAS
    6. Dercole, Fabio & Radi, Davide, 2020. "Does the “uptick rule” stabilize the stock market? Insights from adaptive rational equilibrium dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    7. Michael Hatcher & Tim Hellmann, 2024. "Communication, networks and asset price dynamics: a survey," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(1), pages 1-58, January.
    8. L. L. B. Miranda & L. S. Lima, 2024. "Singular Stochastic Differential Equations for Time Evolution of Stocks Within Non-white Noise Approach," Computational Economics, Springer;Society for Computational Economics, vol. 64(5), pages 2685-2694, November.
    9. Pullman, Ashley & Gauly, Britta & Lechner, Clemens M., 2021. "Short-term earnings mobility in the Canadian and German context: the role of cognitive skills," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-10.

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    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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