IDEAS home Printed from https://ideas.repec.org/a/aea/aecrev/v107y2017i7p2007-40.html
   My bibliography  Save this article

Information Spillovers in Asset Markets with Correlated Values

Author

Listed:
  • Vladimir Asriyan
  • William Fuchs
  • Brett Green

Abstract

We study information spillovers in a dynamic setting with correlated assets owned by privately informed sellers. In the model, a trade of one asset can provide information about the value of other assets. Importantly, the information content of trading behavior is endogenously determined. We show that this endogeneity leads to multiple equilibria when assets are sufficiently correlated. The equilibria are ranked in terms of both trade volume and efficiency. The model has implications for policies targeting post-trade transparency. We show that introducing post-trade transparency can increase or decrease welfare and trading volume depending on the asset correlation, equilibrium being played, and the composition of market participants.

Suggested Citation

  • Vladimir Asriyan & William Fuchs & Brett Green, 2017. "Information Spillovers in Asset Markets with Correlated Values," American Economic Review, American Economic Association, vol. 107(7), pages 2007-2040, July.
  • Handle: RePEc:aea:aecrev:v:107:y:2017:i:7:p:2007-40
    Note: DOI: 10.1257/aer.20151714
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/articles?id=10.1257/aer.20151714
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=WEBq0z2EFQR8uRhU77sgzUGAiBrwVkc-
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=ZMLVBMKHwGrlgypW16CVDq49uqXdfqjA
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Fuchs, William & Öry, Aniko & Skrzypacz, Andrzej, 2016. "Transparency and distressed sales under asymmetric information," Theoretical Economics, Econometric Society, vol. 11(3), September.
    2. Darrell Duffie & Piotr Dworczak & Haoxiang Zhu, 2017. "Benchmarks in Search Markets," Journal of Finance, American Finance Association, vol. 72(5), pages 1983-2044, October.
    3. Bessembinder, Hendrik & Maxwell, William & Venkataraman, Kumar, 2006. "Market transparency, liquidity externalities, and institutional trading costs in corporate bonds," Journal of Financial Economics, Elsevier, vol. 82(2), pages 251-288, November.
    4. Giovanni Cespa & Xavier Vives, 2015. "The Beauty Contest and Short-Term Trading," Journal of Finance, American Finance Association, vol. 70(5), pages 2099-2154, October.
    5. 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.
    6. Johannes Hörner & Nicolas Vieille, 2009. "Public vs. Private Offers in the Market for Lemons," Econometrica, Econometric Society, vol. 77(1), pages 29-69, January.
    7. Paul Asquith & Thom Covert & Parag Pathak, 2013. "The Effects of Mandatory Transparency in Financial Market Design: Evidence from the Corporate Bond Market," NBER Working Papers 19417, National Bureau of Economic Research, Inc.
    8. Michael A. Goldstein & Edith S. Hotchkiss & Erik R. Sirri, 2007. "Transparency and Liquidity: A Controlled Experiment on Corporate Bonds," The Review of Financial Studies, Society for Financial Studies, vol. 20(2), pages 235-273.
    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. Brendan Daley & Brett Green, 2016. "An Information-Based Theory of Time-Varying Liquidity," Journal of Finance, American Finance Association, vol. 71(2), pages 809-870, April.
    11. Heather Richardson & Leonard V. Zumpano, 2012. "Further Assessment of the Efficiency Effects of Internet Use in Home Search," Journal of Real Estate Research, American Real Estate Society, vol. 34(4), pages 515-548.
    12. Verrecchia, Robert E., 2001. "Essays on disclosure," Journal of Accounting and Economics, Elsevier, vol. 32(1-3), pages 97-180, December.
    13. Kremer, Ilan & Skrzypacz, Andrzej, 2007. "Dynamic signaling and market breakdown," Journal of Economic Theory, Elsevier, vol. 133(1), pages 58-82, March.
    14. Brendan Daley & Brett Green, 2012. "Waiting for News in the Market for Lemons," Econometrica, Econometric Society, vol. 80(4), pages 1433-1504, July.
    15. 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.
    16. Amy K. Edwards & Lawrence E. Harris & Michael S. Piwowar, 2007. "Corporate Bond Market Transaction Costs and Transparency," Journal of Finance, American Finance Association, vol. 62(3), pages 1421-1451, June.
    17. Healy, Paul M. & Palepu, Krishna G., 2001. "Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 405-440, September.
    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. Cereda, Fábio & Chague, Fernando & De-Losso, Rodrigo & Genaro, Alan & Giovannetti, Bruno, 2022. "Price transparency in OTC equity lending markets: Evidence from a loan fee benchmark," Journal of Financial Economics, Elsevier, vol. 143(1), pages 569-592.
    2. Eeva Mauring, 2020. "Informational Cycles in Search Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 12(4), pages 170-192, November.
    3. Osano, Hiroshi, 2020. "Credit default swaps and market information," Journal of Financial Markets, Elsevier, vol. 48(C).
    4. Vladimir Asriyan, 2017. "Information Aggregation in Dynamic Markets with Adverse Selection," 2017 Meeting Papers 988, Society for Economic Dynamics.
    5. Zhou, Shengjie & Ye, Qing, 2023. "Margin trading and spillover effects: Evidence from the Chinese stock markets," Emerging Markets Review, Elsevier, vol. 54(C).
    6. Gündüz, Yalin & Ottonello, Giorgio & Pelizzon, Loriana & Schneider, Michael & Subrahmanyam, Marti G., 2018. "Lighting up the dark: Liquidity in the German corporate bond market," SAFE Working Paper Series 230, Leibniz Institute for Financial Research SAFE.
    7. Vladimir Asriyan & Victoria Vanasco, 2019. "Security design in non-exclusive markets with asymmetric information," Economics Working Papers 1712, Department of Economics and Business, Universitat Pompeu Fabra, revised Jun 2021.
    8. 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).
    9. Tsoy, Anton, 2018. "Alternating-offer bargaining with the global games information structure," Theoretical Economics, Econometric Society, vol. 13(2), May.
    10. Pintér, Gábor & Wang, Chaojun & Zou, Junyuan, 2022. "Information chasing versus adverse selection," Bank of England working papers 971, Bank of England.
    11. Fuchs, William & Öry, Aniko & Skrzypacz, Andrzej, 2016. "Transparency and distressed sales under asymmetric information," Theoretical Economics, Econometric Society, vol. 11(3), September.
    12. Eeva Mauring, 2020. "Informational Cycles in Search Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 12(4), pages 170-192, November.
    13. Anton Tsoy, 2016. "Liquidity and Prices in Decentralized Markets with Almost Public Information," 2016 Meeting Papers 8, Society for Economic Dynamics.
    14. Braz Camargo & Kyungmin Kim & Benjamin Lester, 2016. "Information Spillovers, Gains from Trade, and Interventions in Frozen Markets," The Review of Financial Studies, Society for Financial Studies, vol. 29(5), pages 1291-1329.
    15. Jordan Martel & Kenneth Mirkin & Brian Waters, 2022. "Learning by Owning in a Lemons Market," Journal of Finance, American Finance Association, vol. 77(3), pages 1737-1785, June.

    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. 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).
    2. 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.
    3. 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.
    4. 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.
    5. Vladimir Asriyan, 2017. "Information Aggregation in Dynamic Markets with Adverse Selection," 2017 Meeting Papers 988, Society for Economic Dynamics.
    6. 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.
    7. Dilmé, Francesc, 2019. "Dynamic quality signaling with hidden actions," Games and Economic Behavior, Elsevier, vol. 113(C), pages 116-136.
    8. Yeon-Koo Che & Chongwoo Choe & Keeyoung Rhee, 2015. "Bailout Stigma," Monash Economics Working Papers 26-15, Monash University, Department of Economics.
    9. Darrell Duffie, 2018. "Financial Regulatory Reform After the Crisis: An Assessment," Management Science, INFORMS, vol. 64(10), pages 4835-4857, October.
    10. Kim, Kyungmin, 2017. "Information about sellers' past behavior in the market for lemons," Journal of Economic Theory, Elsevier, vol. 169(C), pages 365-399.
    11. Dilmé, Francesc, 2017. "Noisy signaling in discrete time," Journal of Mathematical Economics, Elsevier, vol. 68(C), pages 13-25.
    12. Francesc Dilmé & Fei Li, 2016. "Dynamic Signaling with Dropout Risk," American Economic Journal: Microeconomics, American Economic Association, vol. 8(1), pages 57-82, February.
    13. Reyer Gerlagh & Matti Liski, 2014. "Cake-Eating with Private Information," CESifo Working Paper Series 5050, CESifo.
    14. O’ Hara, Maureen & Wang, Yihui & (Alex) Zhou, Xing, 2018. "The execution quality of corporate bonds," Journal of Financial Economics, Elsevier, vol. 130(2), pages 308-326.
    15. Camargo, Braz & Lester, Benjamin, 2014. "Trading dynamics in decentralized markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 153(C), pages 534-568.
    16. Aquilina, Matteo & Ibikunle, Gbenga & Mollica, Vito & Steffen, Tom, 2022. "The visible hand: benchmarks, regulation, and liquidity," Journal of Financial Markets, Elsevier, vol. 61(C).
    17. Mike Anderson & René M. Stulz, 2017. "Is Post-Crisis Bond Liquidity Lower?," NBER Working Papers 23317, National Bureau of Economic Research, Inc.
    18. Hwang, Ilwoo, 2018. "Dynamic trading with developing adverse selection," Journal of Economic Theory, Elsevier, vol. 176(C), pages 761-802.
    19. Brendan Daley & Brett Green, 2012. "Waiting for News in the Market for Lemons," Econometrica, Econometric Society, vol. 80(4), pages 1433-1504, July.
    20. Francesc Dilmé, 2012. "Dynamic Quality Signaling with Hidden Actions, Second Version," PIER Working Paper Archive 13-063, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 03 Oct 2013.

    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    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:aea:aecrev:v:107:y:2017:i:7:p:2007-40. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.