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Do institutions behave rationally in distressed markets?


  • Cho, Hoon
  • Ryu, Doojin
  • Sung, Sangwook


The authors theoretically analyze the efficiency of liquidity flows in stabilizing distressed markets. Their analysis focuses on the incentives for financial institutions; specifically, they focus on arbitrage profit as an incentive and liquidity risk as a disincentive. The authors show that even with a major negative market shock, a financial institution can increase its market investment if it has sufficient funding liquidity. In addition, their model reveals a positive relationship between funding liquidity and liquidity flows. Thus, a distressed market might stabilize more quickly when financial institutions, acting as liquidity providers, have sufficient funding to bear the market's liquidity risk.

Suggested Citation

  • Cho, Hoon & Ryu, Doojin & Sung, Sangwook, 2017. "Do institutions behave rationally in distressed markets?," Economics Discussion Papers 2017-103, Kiel Institute for the World Economy (IfW).
  • Handle: RePEc:zbw:ifwedp:2017103

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    References listed on IDEAS

    1. Liu, Xuewen & Mello, Antonio S., 2011. "The fragile capital structure of hedge funds and the limits to arbitrage," Journal of Financial Economics, Elsevier, vol. 102(3), pages 491-506.
    2. Lee, Jaeram & Kang, Jangkoo & Ryu, Doojin, 2015. "Common deviation and regime-dependent dynamics in the index derivatives markets," Pacific-Basin Finance Journal, Elsevier, vol. 33(C), pages 1-22.
    3. Hee‐Joon Ahn & Jangkoo Kang & Doojin Ryu, 2008. "Informed trading in the index option market: The case of KOSPI 200 options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(12), pages 1118-1146, December.
    4. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    5. Doojin Ryu, 2015. "The Information Content of Trades: An Analysis of KOSPI 200 Index Derivatives," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(3), pages 201-221, March.
    6. Jun Liu, 2004. "Losing Money on Arbitrage: Optimal Dynamic Portfolio Choice in Markets with Arbitrage Opportunities," Review of Financial Studies, Society for Financial Studies, vol. 17(3), pages 611-641.
    7. Webb, Robert I. & Ryu, Doojin & Ryu, Doowon & Han, Joongho, 2016. "The price impact of futures trades and their intraday seasonality," Emerging Markets Review, Elsevier, vol. 26(C), pages 80-98.
    8. Shleifer, Andrei & Vishny, Robert W, 1997. " The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    9. repec:wly:jfutmk:v:37:y:2017:i:5:p:473-498 is not listed on IDEAS
    10. John R. Nofsinger & Richard W. Sias, 1999. "Herding and Feedback Trading by Institutional and Individual Investors," Journal of Finance, American Finance Association, vol. 54(6), pages 2263-2295, December.
    11. Doojin Ryu, 2011. "Intraday price formation and bid–ask spread components: A new approach using a cross‐market model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(12), pages 1142-1169, December.
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    More about this item


    market efficiency; arbitrage profit; liquidity risk; flight to quality; distressed market;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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