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Costs and benefits of dynamic trading in a lemons market

Author

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  • William Fuchs

    (University of Texas, Austin)

  • Andrzej Skrzypacz

    (Stanford University)

Abstract

We study a dynamic market with asymmetric information that creates the lemons problem. We compare efficiency of the market under different assumptions about the timing of trade. We identify positive and negative aspects of dynamic trading, describe the optimal market design under regularity conditions and show that continuous-time trading can always be improved upon if sellers are present at t=0. Instead, continuous trading is optimal if sellers arrive stochastically over time. (Copyright: Elsevier)

Suggested Citation

  • William Fuchs & Andrzej Skrzypacz, 2019. "Costs and benefits of dynamic trading in a lemons market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 33, pages 105-127, July.
    • Handle: RePEc:red:issued:18-277
    DOI: 10.1016/j.red.2019.03.002
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    Citations

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    Cited by:

    1. Songzi Du & Haoxiang Zhu, 2014. "Welfare and Optimal Trading Frequency in Dynamic Double Auctions," NBER Working Papers 20588, National Bureau of Economic Research, Inc.
    2. Boleslavsky, Raphael & Taylor, Curtis R., 2024. "Make it 'til you fake it," Journal of Economic Theory, Elsevier, vol. 217(C).
    3. Moreno, Diego & Wooders, John, 2016. "Dynamic markets for lemons: performance, liquidity, and policy intervention," Theoretical Economics, Econometric Society, vol. 11(2), May.
    4. Benjamin Lester & Pierre-Olivier Weill & Ariel Zetlin-Jones, 2019. "RED Special Issue on Fragmented Financial Markets: An Introduction," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 33, pages 1-3, July.
    5. Fuchs, William & Green, Brett & Papanikolaou, Dimitris, 2016. "Adverse selection, slow-moving capital, and misallocation," Journal of Financial Economics, Elsevier, vol. 120(2), pages 286-308.
    6. Bond, Philip & Zhong, Hongda, 2016. "Buying high and selling low: stock repurchases and persistent asymmetric information," LSE Research Online Documents on Economics 67011, London School of Economics and Political Science, LSE Library.
    7. Jun Aoyagi & Daisuke Adachi, 2018. "Economic Implications of Blockchain Platforms," Papers 1802.10117, arXiv.org, revised Oct 2018.
    8. Manuel Adelino & Kristopher Gerardi & Barney Hartman-Glaser, 2016. "Are Lemons Sold First? Dynamic Signaling in the Mortgage Market," FRB Atlanta Working Paper 2016-8, Federal Reserve Bank of Atlanta.
    9. Nishihara, Michi & Shibata, Takashi, 2018. "Dynamic bankruptcy procedure with asymmetric information between insiders and outsiders," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 118-137.
    10. Dino Gerardi & Lucas Maestri & Ignacio Monzón, 2022. "Bargaining over a Divisible Good in the Market for Lemons," American Economic Review, American Economic Association, vol. 112(5), pages 1591-1620, May.
    11. Saki Bigio & Liyan Shi, 2020. "Repurchase Options in the Market for Lemons," NBER Working Papers 27732, National Bureau of Economic Research, Inc.
    12. Auster, Sarah & Gottardi, Piero, 2019. "Competing mechanisms in markets for lemons," Theoretical Economics, Econometric Society, vol. 14(3), July.
    13. Timothy Perri, 2016. "Does signalling solve the lemons problem?," Applied Economics Letters, Taylor & Francis Journals, vol. 23(4), pages 227-229, March.
    14. Grenadier, Steven R. & Malenko, Andrey & Strebulaev, Ilya A., 2014. "Investment busts, reputation, and the temptation to blend in with the crowd," Journal of Financial Economics, Elsevier, vol. 111(1), pages 137-157.
    15. Heng Liu, 2020. "Deadlines in the market for lemons," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 8(2), pages 305-323, October.
    16. Auster, Sarah & Gottardi, Piero, 2019. "Competing mechanisms in markets for lemons," Theoretical Economics, Econometric Society, vol. 14(3), September.
    17. William Fuchs & Andrzej Skrzypacz, 2013. "Bargaining with Deadlines and Private Information," American Economic Journal: Microeconomics, American Economic Association, vol. 5(4), pages 219-243, November.
    18. Carré, Sylvain & Collin-Dufresne, Pierre & Gabriel, Franck, 2022. "Insider trading with penalties," Journal of Economic Theory, Elsevier, vol. 203(C).
    19. Jean Tirole, 2016. "From Bottom of the Barrel to Cream of the Crop: Sequential Screening With Positive Selection," Econometrica, Econometric Society, vol. 84, pages 1291-1343, July.
    20. Ferreira, Daniel & Nikolowa, Radoslawa, 2023. "Talent discovery and poaching under asymmetric information," LSE Research Online Documents on Economics 116044, London School of Economics and Political Science, LSE Library.
    21. Adelino, Manuel & Gerardi, Kristopher & Hartman-Glaser, Barney, 2019. "Are lemons sold first? Dynamic signaling in the mortgage market," Journal of Financial Economics, Elsevier, vol. 132(1), pages 1-25.

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    More about this item

    Keywords

    Market design; Adverse selection; Trading frequency; Bankruptcy;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • G01 - Financial Economics - - General - - - Financial Crises

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