IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/27113.html
   My bibliography  Save this paper

The Macroprudential Role of Stock Markets

Author

Listed:
  • Kyriakos T. Chousakos
  • Gary B. Gorton
  • Guillermo Ordoñez

Abstract

A financial crisis is an event of sudden information acquisition about the collateral backing short-term debt in credit markets. When investors see a financial crisis coming, however, they react by more intensively acquiring information about firms in stock markets, revealing those that are weaker, which as a consequence end up cut off from credit. This cleansing effect of stock markets’ information on credit markets’ composition discourage information acquisition about the collateral of the firms remaining in credit markets, slowing down credit growth and potentially preventing a crisis. Production of information in stock markets, then, acts as a macroprudential tool in the economy.

Suggested Citation

  • Kyriakos T. Chousakos & Gary B. Gorton & Guillermo Ordoñez, 2020. "The Macroprudential Role of Stock Markets," NBER Working Papers 27113, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:27113
    Note: AP CF EFG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w27113.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Efraim Benmelech & Mark J. Garmaise & Tobias J. Moskowitz, 2005. "Do Liquidation Values Affect Financial Contracts? Evidence from Commercial Loan Contracts and Zoning Regulation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 1121-1154.
    2. Dow, James & Gorton, Gary, 1997. "Stock Market Efficiency and Economic Efficiency: Is There a Connection?," Journal of Finance, American Finance Association, vol. 52(3), pages 1087-1129, July.
    3. Beck, Thorsten & Levine, Ross, 2004. "Stock markets, banks, and growth: Panel evidence," Journal of Banking & Finance, Elsevier, vol. 28(3), pages 423-442, March.
    4. Thomas Chaney & David Sraer & David Thesmar, 2012. "The Collateral Channel: How Real Estate Shocks Affect Corporate Investment," American Economic Review, American Economic Association, vol. 102(6), pages 2381-2409, October.
    5. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    6. Milgrom, Paul R, 1981. "Rational Expectations, Information Acquisition, and Competitive Bidding," Econometrica, Econometric Society, vol. 49(4), pages 921-943, June.
    7. Gilchrist, Simon & Yankov, Vladimir & Zakrajsek, Egon, 2009. "Credit market shocks and economic fluctuations: Evidence from corporate bond and stock markets," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 471-493, May.
    8. Leland, Hayne E, 1994. "Corporate Debt Value, Bond Covenants, and Optimal Capital Structure," Journal of Finance, American Finance Association, vol. 49(4), pages 1213-1252, September.
    9. Vladimir Asriyan & Luc Laeven & Alberto Martín, 2022. "Collateral Booms and Information Depletion," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(2), pages 517-555.
    10. Gorton, Gary, 1988. "Banking Panics and Business Cycles," Oxford Economic Papers, Oxford University Press, vol. 40(4), pages 751-781, December.
    11. Xavier Vives, 2014. "On The Possibility Of Informationally Efficient Markets," Journal of the European Economic Association, European Economic Association, vol. 12(5), pages 1200-1239, October.
    12. Straub, Ludwig & Ulbricht, Robert, 2015. "Endogenous Uncertainty and Credit Crunches," TSE Working Papers 15-604, Toulouse School of Economics (TSE), revised Dec 2017.
    13. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    14. Guillermo Ordonez & Daniel Neuhann & Harold Cole, 2017. "A Walrasian Theory of Sovereign Debt Auctions with Asymmetric Information," 2017 Meeting Papers 787, Society for Economic Dynamics.
    15. Pablo D. Fajgelbaum & Edouard Schaal & Mathieu Taschereau-Dumouchel, 2017. "Uncertainty Traps," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1641-1692.
    16. Van Nieuwerburgh, Stijn & Veldkamp, Laura, 2006. "Learning asymmetries in real business cycles," Journal of Monetary Economics, Elsevier, vol. 53(4), pages 753-772, May.
    17. Campello, Murillo & Giambona, Erasmo, 2013. "Real Assets and Capital Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(5), pages 1333-1370, October.
    18. repec:hal:spmain:info:hdl:2441/75koqefued8i7pihbrl9u84p4u is not listed on IDEAS
    19. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    20. Victor Zarnowitz & Lionel J. Lerner, 1961. "Cyclical Changes in Business Failures and Corporate Profits," NBER Chapters, in: Business Cycle Indicators, Volume 1, pages 350-385, National Bureau of Economic Research, Inc.
    21. Mr. Fabian Valencia & Mr. Luc Laeven, 2012. "Systemic Banking Crises Database: An Update," IMF Working Papers 2012/163, International Monetary Fund.
    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. Parimoo, Suneil, 2024. "Cycles and self-fulfilling crises in open economies with stock collateral constraints under impatience," Journal of Mathematical Economics, Elsevier, vol. 112(C).
    2. Iorgova, Silvia & Ross, Chase P., 2023. "Investor information and bank instability during the European debt crisis," Journal of Financial Stability, Elsevier, vol. 64(C).
    3. Cortes, Gustavo S. & Taylor, Bryan & Weidenmier, Marc D., 2022. "Financial factors and the propagation of the Great Depression," Journal of Financial Economics, Elsevier, vol. 145(2), pages 577-594.

    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. Kyriakos Chousakos & Gary Gorton & Guillermo Ordonez, 2018. "Aggregate Information Dynamics," 2018 Meeting Papers 167, Society for Economic Dynamics.
    2. Bai, Jennie & Philippon, Thomas & Savov, Alexi, 2016. "Have financial markets become more informative?," Journal of Financial Economics, Elsevier, vol. 122(3), pages 625-654.
    3. Pavan, Alessandro & Vives, Xavier, 2015. "Information, Coordination, and Market Frictions: An Introduction," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 407-426.
    4. Vladimir Asriyan & Luc Laeven & Alberto Martín, 2022. "Collateral Booms and Information Depletion," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(2), pages 517-555.
    5. Abedifar, Pejman & Bouslah, Kais & Qamhieh Hashem, Shatha & Song, Liang, 2020. "How informative are stock prices of Islamic Banks?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 66(C).
    6. Lou, Youcheng & Parsa, Sahar & Ray, Debraj & Li, Duan & Wang, Shouyang, 2019. "Information aggregation in a financial market with general signal structure," Journal of Economic Theory, Elsevier, vol. 183(C), pages 594-624.
    7. Kyriakos Chousakos & Gary Gorton & Guillermo Ordoñez, 2018. "Global Information Spillovers," Central Banking, Analysis, and Economic Policies Book Series, in: Enrique G. Mendoza & Ernesto Pastén & Diego Saravia (ed.),Monetary Policy and Global Spillovers: Mechanisms, Effects and Policy Measures, edition 1, volume 25, chapter 5, pages 137-181, Central Bank of Chile.
    8. Straub, Ludwig & Ulbricht, Robert, 2015. "Endogenous Uncertainty and Credit Crunches," TSE Working Papers 15-604, Toulouse School of Economics (TSE), revised Dec 2017.
    9. Michele Berardi, 2021. "Learning from prices: information aggregation and accumulation in an asset market," Annals of Finance, Springer, vol. 17(1), pages 45-77, March.
    10. Manzano, Carolina & Vives, Xavier, 2021. "Market power and welfare in asymmetric divisible good auctions," Theoretical Economics, Econometric Society, vol. 16(3), July.
    11. François Gourio, 2013. "Credit Risk and Disaster Risk," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(3), pages 1-34, July.
    12. Straub, Ludwig & Ulbricht, Robert, 2019. "Endogenous second moments: A unified approach to fluctuations in risk, dispersion, and uncertainty," Journal of Economic Theory, Elsevier, vol. 183(C), pages 625-660.
    13. Caldara, Dario & Fuentes-Albero, Cristina & Gilchrist, Simon & Zakrajšek, Egon, 2016. "The macroeconomic impact of financial and uncertainty shocks," European Economic Review, Elsevier, vol. 88(C), pages 185-207.
    14. 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.
    15. repec:zbw:bofrdp:037 is not listed on IDEAS
    16. Lou, Youcheng & Rahi, Rohit, 2023. "Information, market power and welfare," LSE Research Online Documents on Economics 120479, London School of Economics and Political Science, LSE Library.
    17. Goldstein, Michael A. & Namin, Elmira Shekari, 2023. "Corporate bond liquidity and yield spreads: A review," Research in International Business and Finance, Elsevier, vol. 65(C).
    18. Elias Albagli & Christian Hellwig & Aleh Tsyvinski, 2021. "Dispersed Information and Asset Prices," Working Papers hal-03118639, HAL.
    19. Junyong He & Helen Hui Huang & Shunming Zhang, 2020. "Ambiguity Aversion, Information Acquisition, and Market Opacity," Annals of Economics and Finance, Society for AEF, vol. 21(2), pages 263-329, November.
    20. Vikas Agarwal & Wei Jiang & Yuehua Tang & Baozhong Yang, 2013. "Uncovering Hedge Fund Skill from the Portfolio Holdings They Hide," Journal of Finance, American Finance Association, vol. 68(2), pages 739-783, April.
    21. Ilut, Cosmin & Saijo, Hikaru, 2021. "Learning, confidence, and business cycles," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 354-376.

    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:27113. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.