IDEAS home Printed from https://ideas.repec.org/a/red/issued/18-277.html
   My bibliography  Save this article

Costs and benefits of dynamic trading in a lemons market

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://dx.doi.org/10.1016/j.red.2019.03.002
    Download Restriction: None
    File URL: https://libkey.io/10.1016/j.red.2019.03.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Maarten C. W. Janssen & Santanu Roy, 2002. "Dynamic Trading in a Durable Good Market with Asymmetric Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(1), pages 257-282, February.
    2. Georg Noldeke & Eric van Damme, 1990. "Signalling in a Dynamic Labour Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 1-23.
    3. Veronica Guerrieri & Robert Shimer & Randall Wright, 2010. "Adverse Selection in Competitive Search Equilibrium," Econometrica, Econometric Society, vol. 78(6), pages 1823-1862, November.
    4. Fuchs, William & Skrzypacz, Andrzej, 2015. "Government interventions in a dynamic market with adverse selection," Journal of Economic Theory, Elsevier, vol. 158(PA), pages 371-406.
    5. Emiliano S. Pagnotta & Thomas Philippon, 2018. "Competing on Speed," Econometrica, Econometric Society, vol. 86(3), pages 1067-1115, May.
    6. Veronica Guerrieri & Robert Shimer, 2014. "Dynamic Adverse Selection: A Theory of Illiquidity, Fire Sales, and Flight to Quality," American Economic Review, American Economic Association, vol. 104(7), pages 1875-1908, July.
    7. Samuelson, William F, 1984. "Bargaining under Asymmetric Information," Econometrica, Econometric Society, vol. 52(4), pages 995-1005, July.
    8. Maarten C. W. Janssen & Vladimir A. Karamychev, 2002. "Cycles and multiple equilibria in the market for durable lemons," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 20(3), pages 579-601.
    9. Jeroen M. Swinkels, 1999. "Education Signalling with Preemptive Offers," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(4), pages 949-970.
    10. Santanu Roy, 2014. "Dynamic sorting in durable goods markets with buyer heterogeneity," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(3), pages 1010-1031, August.
    11. Songzi Du & Haoxiang Zhu, 2017. "What is the Optimal Trading Frequency in Financial Markets?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(4), pages 1606-1651.
    12. Camargo, Braz & Lester, Benjamin, 2014. "Trading dynamics in decentralized markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 153(C), pages 534-568.
    13. Moreno, Diego & Wooders, John, 2016. "Dynamic markets for lemons: performance, liquidity, and policy intervention," Theoretical Economics, Econometric Society, vol. 11(2), May.
    14. Fuchs, William & Öry, Aniko & Skrzypacz, Andrzej, 2016. "Transparency and distressed sales under asymmetric information," Theoretical Economics, Econometric Society, vol. 11(3), September.
    15. Kaya, Ayça & Liu, Qingmin, 2015. "Transparency and price formation," Theoretical Economics, Econometric Society, vol. 10(2), May.
    16. Biais, Bruno & Glosten, Larry & Spatt, Chester, 2005. "Market microstructure: A survey of microfoundations, empirical results, and policy implications," Journal of Financial Markets, Elsevier, vol. 8(2), pages 217-264, May.
    17. Brendan Daley & Brett Green, 2012. "Waiting for News in the Market for Lemons," Econometrica, Econometric Society, vol. 80(4), pages 1433-1504, July.
    18. Thomas Philippon & Vasiliki Skreta, 2012. "Optimal Interventions in Markets with Adverse Selection," American Economic Review, American Economic Association, vol. 102(1), pages 1-28, February.
    19. Craig B. Merrill & Taylor D. Nadauld & René M. Stulz & Shane Sherlund, 2012. "Did Capital Requirements and Fair Value Accounting Spark Fire Sales in Distressed Mortgage-Backed Securities?," NBER Working Papers 18270, National Bureau of Economic Research, Inc.
    20. Dimitri Vayanos, 1999. "Strategic Trading and Welfare in a Dynamic Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(2), pages 219-254.
    21. Igal Hendel & Alessandro Lizzeri & Marciano Siniscalchi, 2005. "Efficient Sorting in a Dynamic Adverse-Selection Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 467-497.
    22. Briana Chang, 2012. "Adverse Selection and Liquidity Distortion in Decentralized Markets," 2012 Meeting Papers 403, Society for Economic Dynamics.
    23. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    24. Kim, Kyungmin, 2017. "Information about sellers' past behavior in the market for lemons," Journal of Economic Theory, Elsevier, vol. 169(C), pages 365-399.
    25. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    26. Briana Chang, 2018. "Adverse Selection and Liquidity Distortion," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(1), pages 275-306.
    27. Kremer, Ilan & Skrzypacz, Andrzej, 2007. "Dynamic signaling and market breakdown," Journal of Economic Theory, Elsevier, vol. 133(1), pages 58-82, March.
    28. Jean Tirole, 2012. "Overcoming Adverse Selection: How Public Intervention Can Restore Market Functioning," American Economic Review, American Economic Association, vol. 102(1), pages 29-59, February.
    29. Damiano, Ettore & Li, Hao & Suen, Wing, 2021. "Optimal delay in committees," Games and Economic Behavior, Elsevier, vol. 129(C), pages 449-475.
    30. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fuchs, William & Skrzypacz, Andrzej, 2015. "Government interventions in a dynamic market with adverse selection," Journal of Economic Theory, Elsevier, vol. 158(PA), pages 371-406.
    2. Vincent Maurin, 2022. "Liquidity Fluctuations in Over‐the‐Counter Markets," Journal of Finance, American Finance Association, vol. 77(2), pages 1325-1369, April.
    3. Camargo, Braz & Lester, Benjamin, 2014. "Trading dynamics in decentralized markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 153(C), pages 534-568.
    4. Palazzo, Francesco, 2017. "Search costs and the severity of adverse selection," Research in Economics, Elsevier, vol. 71(1), pages 171-197.
    5. Vincent Maurin, 2016. "Liquidity Fluctuations in Over the Counter Markets," 2016 Meeting Papers 218, Society for Economic Dynamics.
    6. Seyed Mohammadreza Davoodalhosseini, 2020. "Adverse Selection With Heterogeneously Informed Agents," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(3), pages 1307-1358, August.
    7. Kim, Kyungmin, 2017. "Information about sellers' past behavior in the market for lemons," Journal of Economic Theory, Elsevier, vol. 169(C), pages 365-399.
    8. Barsanetti, Bruno & Camargo, Braz, 2022. "Signaling in dynamic markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 206(C).
    9. Davoodalhosseini, Seyed Mohammadreza, 2019. "Constrained efficiency with adverse selection and directed search," Journal of Economic Theory, Elsevier, vol. 183(C), pages 568-593.
    10. Taneli Mäkinen & Francesco Palazzo, 2017. "The double bind of asymmetric information in over-the-counter markets," Temi di discussione (Economic working papers) 1128, Bank of Italy, Economic Research and International Relations Area.
    11. Bilancini, Ennio & Boncinelli, Leonardo, 2016. "Dynamic adverse selection and the supply size," European Economic Review, Elsevier, vol. 83(C), pages 233-242.
    12. Madison, Florian, 2019. "Frictional asset reallocation under adverse selection," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 115-130.
    13. 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.
    14. Davoodalhosseini, Seyed Mohammadreza, 2022. "Optimal taxation in asset markets with adverse selection," European Economic Review, Elsevier, vol. 147(C).
    15. Yeon-Koo Che & Chongwoo Choe & Keeyoung Rhee, 2015. "Bailout Stigma," Monash Economics Working Papers 26-15, Monash University, Department of Economics.
    16. Hwang, Ilwoo, 2018. "Dynamic trading with developing adverse selection," Journal of Economic Theory, Elsevier, vol. 176(C), pages 761-802.
    17. Asriyan, Vladimir & Fuchs, William & Green, Brett, 2021. "Aggregation and design of information in asset markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 191(C).
    18. 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.
    19. 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.
    20. 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.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:red:issued:18-277. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.