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Crowded trades, market clustering, and price instability

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  • Marc van Kralingen
  • Diego Garlaschelli
  • Karolina Scholtus
  • Iman van Lelyveld

Abstract

Crowded trades by similarly trading peers influence the dynamics of asset prices, possibly creating systemic risk. We propose a market clustering measure using granular trading data. For each stock the clustering measure captures the degree of trading overlap among any two investors in that stock. We investigate the effect of crowded trades on stock price stability and show that market clustering has a causal effect on the properties of the tails of the stock return distribution, particularly the positive tail, even after controlling for commonly considered risk drivers. Reduced investor pool diversity could thus negatively affect stock price stability.

Suggested Citation

  • Marc van Kralingen & Diego Garlaschelli & Karolina Scholtus & Iman van Lelyveld, 2020. "Crowded trades, market clustering, and price instability," Working Papers 668, DNB.
    • Handle: RePEc:dnb:dnbwpp:668
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    Cited by:

    1. Mark Mink & Rodney Ramcharan & Iman van Lelyveld, 2020. "How Banks Respond to Distress: Shifting Risks in Europe’s Banking Union," Tinbergen Institute Discussion Papers 20-006/IV, Tinbergen Institute.
    2. Mark Mink & Rodney Ramcharan & Iman van Lelyveld, 2020. "How banks respond to distress: Shifting risks in Europe's banking union," Working Papers 669, DNB.

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    More about this item

    Keywords

    crowded trading; tail-risk; financial stability;
    All these keywords.

    JEL classification:

    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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