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Information Spillovers in Asset Markets with Correlated Values

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  • Vladimir Asriyan
  • William Fuchs
  • Brett Green

Abstract

We study information spillovers in a dynamic setting with privately informed traders and correlated asset values. A trade of one asset (or lack thereof) can provide information about the value of other assets. The information content of trading behavior is endogenously determined in equilibrium. We show that this endogeneity leads to multiple equilibria when the correlation between asset values is sufficiently high. The equilibria are ranked in terms of both trade volume and efficiency. We study the implications for policies that target market transparency as well as the market's ability to aggregate information. Total welfare is higher in any equilibrium of a fully transparent market than in a fully opaque one. However, both welfare and trading activity can decrease in the degree of market transparency. If traders have asymmetric access to transaction data, transparency levels the playing eld, reduces the rents of more informed traders, but may also reduce total welfare. Moreover, even in a fully transparent market, information is not necessarily aggregated as the number of informed traders becomes arbitrarily large.

Suggested Citation

  • Vladimir Asriyan & William Fuchs & Brett Green, 2016. "Information Spillovers in Asset Markets with Correlated Values," Working Papers 827, Barcelona School of Economics.
    • Handle: RePEc:bge:wpaper:827
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    References listed on IDEAS

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    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.
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    Cited by:

    1. 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.
    2. 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).
    3. 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.
    4. Eeva Mauring, 2020. "Informational Cycles in Search Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 12(4), pages 170-192, November.
    5. 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.
    6. Fuchs, William & Öry, Aniko & Skrzypacz, Andrzej, 2016. "Transparency and distressed sales under asymmetric information," Theoretical Economics, Econometric Society, vol. 11(3), September.
    7. Tsoy, Anton, 2018. "Alternating-offer bargaining with the global games information structure," Theoretical Economics, Econometric Society, vol. 13(2), May.
    8. Pintér, Gábor & Wang, Chaojun & Zou, Junyuan, 2022. "Information chasing versus adverse selection," Bank of England working papers 971, Bank of England.
    9. Eeva Mauring, 2020. "Informational Cycles in Search Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 12(4), pages 170-192, November.
    10. Anton Tsoy, 2016. "Liquidity and Prices in Decentralized Markets with Almost Public Information," 2016 Meeting Papers 8, Society for Economic Dynamics.
    11. Osano, Hiroshi, 2020. "Credit default swaps and market information," Journal of Financial Markets, Elsevier, vol. 48(C).
    12. Vladimir Asriyan, 2017. "Information Aggregation in Dynamic Markets with Adverse Selection," 2017 Meeting Papers 988, Society for Economic Dynamics.
    13. 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.
    14. 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.
    15. Zhou, Shengjie & Ye, Qing, 2023. "Margin trading and spillover effects: Evidence from the Chinese stock markets," Emerging Markets Review, Elsevier, vol. 54(C).

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    More about this item

    Keywords

    asymmetric Information; information spillovers; market transparency; liquidity;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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