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Trading Dynamics With Adverse Selection and Search

Author

Listed:
  • Thorsten Koeppl

    (Queen's University)

  • Jonathan Chiu

    (Bank of Canada)

Abstract

We study the trading dynamics in an asset market where the quality of assets is private information of the owner and finding a counterparty takes time. When trading of a financial asset ceases in equilibrium as a response to an adverse shock to asset quality, a large player can resurrect the market by buying up lemons which involves assuming financial losses. The equilibrium response to such a policy is intricate as it creates an announcement effect: a mere announcement of intervening at a later point in time can cause markets to function again. This effect leads to a gradual recovery in trading volume, with asset prices converging non-monotonically to their normal values. The optimal policy is to intervene immediately with minimal size when markets are deemed important and losses are small. As losses increase and the importance of the market declines, the optimal intervention is delayed and it can be desirable to rely more on the announcement effect by increasing the size of the intervention. Search frictions are important for all these results. They compound adverse selection, making a market more fragile with respect to a classic lemons problem. They dampen the announcement effect and cause the optimal policy to be more aggressive, leading to an earlier intervention at a larger scale.

Suggested Citation

  • Thorsten Koeppl & Jonathan Chiu, 2013. "Trading Dynamics With Adverse Selection and Search," 2013 Meeting Papers 201, Society for Economic Dynamics.
    • Handle: RePEc:red:sed013:201
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    Citations

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    Cited by:

    1. Veronica Guerrieri & Robert Shimer, 2018. "Markets with Multidimensional Private Information," American Economic Journal: Microeconomics, American Economic Association, vol. 10(2), pages 250-274, May.
    2. Huberto M. Ennis, 2019. "Interventions in Markets with Adverse Selection: Implications for Discount Window Stigma," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(7), pages 1737-1764, October.
    3. Bruno Sultanum & Zachary Bethune, 2016. "Decentralized Trade with Private Values," 2016 Meeting Papers 1630, Society for Economic Dynamics.
    4. Robert Shimer & Ivan Werning, 2019. "Efficiency and information transmission in bilateral trading," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 33, pages 154-176, July.
    5. Benhabib, Jess & Dong, Feng & Wang, Pengfei, 2018. "Adverse selection and self-fulfilling business cycles," Journal of Monetary Economics, Elsevier, vol. 94(C), pages 114-130.
    6. Trejos, Alberto & Wright, Randall, 2016. "Search-based models of money and finance: An integrated approach," Journal of Economic Theory, Elsevier, vol. 164(C), pages 10-31.
    7. Yumi Saita & Chihiro Shimizu & Tsutomu Watanabe, 2013. "Aging and Real Estate Prices:Evidence from Japanese and US Regional Data," UTokyo Price Project Working Paper Series 014, University of Tokyo, Graduate School of Economics, revised Dec 2013.
    8. Vincent Maurin, 2016. "Liquidity Fluctuations in Over the Counter Markets," 2016 Meeting Papers 218, Society for Economic Dynamics.
    9. Jonathan Chiu & Thorsten V. Koeppl, 2014. "Livin' On The Edge With Ratings: Liquidity, Efficiency And Stability," Working Paper 1335, Economics Department, Queen's University.
    10. Jose V. Rodriguez Mora & Christian Bauer, 2012. "Equilibrium Intermediation and Resource Allocation With a Frictional Credit Market," 2012 Meeting Papers 843, Society for Economic Dynamics.
    11. Robert E. Hall, 2014. "Trade with Asymmetric Information," Central Banking, Analysis, and Economic Policies Book Series, in: Sofía Bauducco & Lawrence Christiano & Claudio Raddatz (ed.),Macroeconomic and Financial Stability: challenges for Monetary Policy, edition 1, volume 19, chapter 5, pages 151-160, Central Bank of Chile.

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