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Strategic Trading in Multiple Assets and the Effects on Market Volatiliy

Author

Listed:
  • Chenghuan Sean Chu

    (Federal Reserve Board)

  • Andreas Lehnert

    (Federal Reserve Board)

  • Wayne Passmore

    (Federal Reserve Baord)

Abstract

We study government policies designed to increase liquidity by extending government guarantees to fundamentally illiquid assets. We characterize the effects of such policies on equilibrium price dynamics, trading strategies, and welfare. We build on the strategic trading framework of Brunnermeier and Pedersen (2005) and Carlin, Lobo, and Viswanathan (2007) by adding multiple assets and by modeling all agents’ utility functions. The assets in our model differ in their fundamental liquidity, i.e., the price reaction of the nonstrategic (or “retail”) traders to amounts sold by the strategic traders. Nonstrategic traders are willing to accept greater amounts of the more liquid asset with less short-term price reaction. These additions allow us to consider the welfare implications of, for example, shifting some assets from the illiquid category to the liquid category, a proxy for government guarantees on a risky asset. As in other models of this type, the strategic players “predate” on each other when one becomes distressed and is forced to liquidate its holdings. As others have shown, the more liquid the asset, the cheaper it is to predate on a distressed firm. Our model features an additional channel between liquidity and predation: because of the cross-elasiticies of demand across assets, firms can create liquidity in one asset by shorting a complementary asset. We find that when firms begin with larger endowments in highly liquid assets, forced liquidation of those assets tends to result in higher price volatility than would otherwise be the case. For plausible parameter ranges, such a policy also results in lower welfare for the nonstrategic traders. This finding suggests that market interventions designed to alleviate illiquidity in particular asset markets may instead unintentionally exacerbate price volatility.

Suggested Citation

  • Chenghuan Sean Chu & Andreas Lehnert & Wayne Passmore, 2009. "Strategic Trading in Multiple Assets and the Effects on Market Volatiliy," International Journal of Central Banking, International Journal of Central Banking, vol. 5(4), pages 143-172, December.
  • Handle: RePEc:ijc:ijcjou:y:2009:q:4:a:8
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    References listed on IDEAS

    as
    1. Holden, Craig W & Subrahmanyam, Avanidhar, 1992. "Long-Lived Private Information and Imperfect Competition," Journal of Finance, American Finance Association, vol. 47(1), pages 247-270, March.
    2. Kerry Back & C. Henry Cao & Gregory A. Willard, 2000. "Imperfect Competition among Informed Traders," Journal of Finance, American Finance Association, vol. 55(5), pages 2117-2155, October.
    3. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
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    Cited by:

    1. Lasse Pedersen, 2009. "When Everyone Runs for the Exit," International Journal of Central Banking, International Journal of Central Banking, vol. 5(4), pages 177-199, December.
    2. Moritz Vo{ss}, 2019. "A two-player portfolio tracking game," Papers 1911.05122, arXiv.org, revised Jul 2022.
    3. Vivien Lespagnol & Juliette Rouchier, 2015. "What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency: An ABM Approach," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 105-117, Springer.
    4. Vivien Lespagnol & Juliette Rouchier, 2014. "Trading volume and market efficiency: an Agent Based Model with heterogenous knowledge about fundamentals," AMSE Working Papers 1419, Aix-Marseille School of Economics, France, revised May 2014.
    5. David B. Brown & Bruce Ian Carlin & Miguel Sousa Lobo, 2010. "Optimal Portfolio Liquidation with Distress Risk," Management Science, INFORMS, vol. 56(11), pages 1997-2014, November.
    6. Moritz Voß, 2022. "A two-player portfolio tracking game," Mathematics and Financial Economics, Springer, volume 16, number 6, June.
    7. David B. Brown & Bruce Ian Carlin & Miguel Sousa Lobo, 2009. "On the Scholes Liquidation Problem," NBER Working Papers 15381, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • G0 - Financial Economics - - General
    • G01 - Financial Economics - - General - - - Financial Crises
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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