IDEAS home Printed from https://ideas.repec.org/a/eee/jetheo/v184y2019ics0022053118304721.html
   My bibliography  Save this article

Dynamic information acquisition and time-varying uncertainty

Author

Listed:
  • Cai, Zhifeng

Abstract

This paper studies the role of information acquisition in propagating/stabilizing uncertainty shocks in a dynamic financial market. In a static world, uncertainty raises the value of information, which encourages more information acquisition. In a dynamic world, however, uncertainty can depress information acquisition through a dynamic complementarity channel: More uncertainty induces future investors to trade more cautiously. This renders future resale stock price less informative and reduces the value of information today. Due to the dynamic complementarity, transitory uncertainty shocks can have long-lasting impacts. Direct government purchases can stimulate information production, eliminate equilibrium multiplicity, and attenuate the impacts of uncertainty shocks by raising the effective risk-bearing capacity of the informed investors.

Suggested Citation

  • Cai, Zhifeng, 2019. "Dynamic information acquisition and time-varying uncertainty," Journal of Economic Theory, Elsevier, vol. 184(C).
    • Handle: RePEc:eee:jetheo:v:184:y:2019:i:c:s0022053118304721
    DOI: 10.1016/j.jet.2019.104947
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0022053118304721
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jet.2019.104947?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Albagli, Elias, 2015. "Investment horizons and asset prices under asymmetric information," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 787-837.
    2. Brad M. Barber & Terrance Odean & Ning Zhu, 2009. "Do Retail Trades Move Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 151-186, January.
    3. Antonio Mele & Francesco Sangiorgi, 2015. "Uncertainty, Information Acquisition, and Price Swings in Asset Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1533-1567.
    4. Masahiro Watanabe, 2008. "Price Volatility and Investor Behavior in an Overlapping Generations Model with Information Asymmetry," Journal of Finance, American Finance Association, vol. 63(1), pages 229-272, February.
    5. Laura L. Veldkamp, 2006. "Information Markets and the Comovement of Asset Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(3), pages 823-845.
    6. Philippe Bacchetta & Eric Van Wincoop, 2006. "Can Information Heterogeneity Explain the Exchange Rate Determination Puzzle?," American Economic Review, American Economic Association, vol. 96(3), pages 552-576, June.
    7. Spiegel, Matthew, 1998. "Stock Price Volatility in a Multiple Security Overlapping Generations Model," The Review of Financial Studies, Society for Financial Studies, vol. 11(2), pages 419-447.
    8. Daniel Dorn & Gur Huberman & Paul Sengmueller, 2008. "Correlated Trading and Returns," Journal of Finance, American Finance Association, vol. 63(2), pages 885-920, April.
    9. Bradyn Breon-Drish, 2015. "On Existence and Uniqueness of Equilibrium in a Class of Noisy Rational Expectations Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(3), pages 868-921.
    10. Froot, Kenneth A & Scharftstein, David S & Stein, Jeremy C, 1992. "Herd on the Street: Informational Inefficiencies in a Market with Short-Term Speculation," Journal of Finance, American Finance Association, vol. 47(4), pages 1461-1484, September.
    11. Diego García & Günter Strobl, 2011. "Relative Wealth Concerns and Complementarities in Information Acquisition," The Review of Financial Studies, Society for Financial Studies, vol. 24(1), pages 169-207.
    12. Laura L. Veldkamp, 2006. "Media Frenzies in Markets for Financial Information," American Economic Review, American Economic Association, vol. 96(3), pages 577-601, June.
    13. Itay Goldstein & Liyan Yang, 2015. "Information Diversity and Complementarities in Trading and Information Acquisition," Journal of Finance, American Finance Association, vol. 70(4), pages 1723-1765, August.
    14. Maryam Farboodi & Laura Veldkamp, 2017. "Long Run Growth of Financial Technology," NBER Working Papers 23457, National Bureau of Economic Research, Inc.
    15. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    16. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June.
    17. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," The Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
    18. Jayant Vivek Ganguli & Liyan Yang, 2009. "Complementarities, Multiplicity, and Supply Information," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 90-115, March.
    19. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    20. Avdis, Efstathios, 2016. "Information tradeoffs in dynamic financial markets," Journal of Financial Economics, Elsevier, vol. 122(3), pages 568-584.
    21. Ravi Bansal & Amir Yaron, 2004. "Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles," Journal of Finance, American Finance Association, vol. 59(4), pages 1481-1509, August.
    22. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    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. Cai, Zhifeng & Dong, Feng, 2023. "Public disclosure and private information acquisition: A global game approach," Journal of Economic Theory, Elsevier, vol. 210(C).

    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. Zhifeng Cai, 2020. "Dynamic information acquisition and time-varying uncertainty," Departmental Working Papers 202002, Rutgers University, Department of Economics.
    2. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
    3. Rahi, Rohit & Zigrand, Jean-Pierre, 2018. "Information acquisition, price informativeness, and welfare," Journal of Economic Theory, Elsevier, vol. 177(C), pages 558-593.
    4. Avdis, Efstathios, 2016. "Information tradeoffs in dynamic financial markets," Journal of Financial Economics, Elsevier, vol. 122(3), pages 568-584.
    5. Cai, Zhifeng & Dong, Feng, 2023. "Public disclosure and private information acquisition: A global game approach," Journal of Economic Theory, Elsevier, vol. 210(C).
    6. Rahi, Rohit & Zigrand, Jean-Pierre, 2018. "Information acquisition, price informativeness and welfare," LSE Research Online Documents on Economics 118935, London School of Economics and Political Science, LSE Library.
    7. David Russ, 2020. "Multidimensional Noise and Non-Fundamental Information Diversity," Working Papers 201, Bavarian Graduate Program in Economics (BGPE).
    8. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    9. Marmora, Paul & Rytchkov, Oleg, 2018. "Learning about noise," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 209-224.
    10. Russ, David, 2022. "Multidimensional noise and non-fundamental information diversity," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    11. Goldstein, Itay & Ozdenoren, Emre & Yuan, Kathy, 2013. "Trading frenzies and their impact on real investment," Journal of Financial Economics, Elsevier, vol. 109(2), pages 566-582.
    12. Markus K. Brunnermeier & Michael Sockin & Wei Xiong, 2020. "China’s Model of Managing the Financial System," Working Papers 2020-45, Princeton University. Economics Department..
    13. Giovanni Cespa & Xavier Vives, 2011. "Expectations, Liquidity, and Short-term Trading," CESifo Working Paper Series 3390, CESifo.
    14. Pavan, Alessandro & Vives, Xavier, 2015. "Information, Coordination, and Market Frictions: An Introduction," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 407-426.
    15. 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.
    16. Markus K Brunnermeier & Michael Sockin & Wei Xiong, 2022. "China’s Model of Managing the Financial System [Beauty Contests and Iterated Expectations in Asset Markets]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(6), pages 3115-3153.
    17. Dávila, Eduardo & Parlatore, Cecilia, 2023. "Volatility and informativeness," Journal of Financial Economics, Elsevier, vol. 147(3), pages 550-572.
    18. Larson, Nathan, 2011. "Clustering on the same news sources in an asset market," MPRA Paper 32823, University Library of Munich, Germany.
    19. James Dow & Itay Goldstein & Alexander Guembel, 2017. "Incentives for Information Production in Markets where Prices Affect Real Investment," Journal of the European Economic Association, European Economic Association, vol. 15(4), pages 877-909.
    20. Van Ness, Bonnie & Van Ness, Robert & Yildiz, Serhat, 2021. "Private information in trades, R2, and large stock price movements," Journal of Banking & Finance, Elsevier, vol. 131(C).

    More about this item

    Keywords

    Information acquisition; Financial markets; Dynamic complementarity; Multiplicity;
    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
    • G28 - Financial Economics - - Financial Institutions and Services - - - 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:eee:jetheo:v:184:y:2019:i:c:s0022053118304721. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622869 .

    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.