IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/19383.html
   My bibliography  Save this paper

Financial Market Shocks and the Macroeconomy

Author

Listed:
  • Avanidhar Subrahmanyam
  • Sheridan Titman

Abstract

Feedback from stock prices to cash flows occurs because information revealed by firms' stock prices influences the actions of competitors. We explore the implications of feedback within a noisy rational expectations setting with incumbent publicly traded firms and privately held new entrants. In this setting the equilibrium relation among stock prices and both future dividends and aggregate output depends on the strategic environment in which these firms operate. In general, under reasonable conditions, the relations between prices, dividends, and economic output in our framework are consistent with empirical evidence in the macroliterature. We also generate new, potentially testable, implications.

Suggested Citation

  • Avanidhar Subrahmanyam & Sheridan Titman, 2013. "Financial Market Shocks and the Macroeconomy," NBER Working Papers 19383, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:19383
    Note: AP CF
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w19383.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mehra, Rajnish & Prescott, Edward C., 1985. "The equity premium: A puzzle," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 145-161, March.
    2. Sundaram, Anant K. & John, Teresa A. & John, Kose, 1996. "An empirical analysis of strategic competition and firm values The case of R&D competition," Journal of Financial Economics, Elsevier, vol. 40(3), pages 459-486, March.
    3. John H. Cochrane, 1992. "A Cross-Sectional Test of a Production-Based Asset Pricing Model," NBER Working Papers 4025, National Bureau of Economic Research, Inc.
    4. Holden, Craig W & Subrahmanyam, Avanidhar, 1996. "Risk Aversion, Liquidity, and Endogenous Short Horizons," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 691-722.
    5. Campbell, John & Shiller, Robert, 1988. "Stock Prices, Earnings, and Expected Dividends," Scholarly Articles 3224293, Harvard University Department of Economics.
    6. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    7. 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.
    8. Jay Choi, Jongmoo & Hauser, Shmuel & Kopecky, Kenneth J., 1999. "Does the stock market predict real activity? Time series evidence from the G-7 countries," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1771-1792, December.
    9. Campbell, John Y, 1991. "A Variance Decomposition for Stock Returns," Economic Journal, Royal Economic Society, vol. 101(405), pages 157-179, March.
    10. Jacklin, Charles J & Kleidon, Allan W & Pfleiderer, Paul, 1992. "Underestimation of Portfolio Insurance and the Crash of October 1987," The Review of Financial Studies, Society for Financial Studies, vol. 5(1), pages 35-63.
    11. Russell Cooper & Andrew John, 1988. "Coordinating Coordination Failures in Keynesian Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 103(3), pages 441-463.
    12. Lars Peter Hansen & John C. Heaton & Nan Li, 2008. "Consumption Strikes Back? Measuring Long-Run Risk," Journal of Political Economy, University of Chicago Press, vol. 116(2), pages 260-302, April.
    13. Barro, Robert J, 1990. "The Stock Market and Investment," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 115-131.
    14. Gennotte, Gerard & Leland, Hayne, 1990. "Market Liquidity, Hedging, and Crashes," American Economic Review, American Economic Association, vol. 80(5), pages 999-1021, December.
    15. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June.
    16. Tarek A. Hassan & Thomas M. Mertens, 2017. "The Social Cost of Near-Rational Investment," American Economic Review, American Economic Association, vol. 107(4), pages 1059-1103, April.
    17. George-Marios Angeletos & Guido Lorenzoni & Alessandro Pavan, 2010. "Beauty Contests and "Irrational Exuberance": A Neoclassical Approach," Discussion Papers 1502, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    18. Claudio Michelacci & Javier Suarez, 2004. "Business Creation and the Stock Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(2), pages 459-481.
    19. Ko, K. Jeremy & (James) Huang, Zhijian, 2007. "Arrogance can be a virtue: Overconfidence, information acquisition, and market efficiency," Journal of Financial Economics, Elsevier, vol. 84(2), pages 529-560, May.
    20. Fama, Eugene F. & French, Kenneth R., 1988. "Dividend yields and expected stock returns," Journal of Financial Economics, Elsevier, vol. 22(1), pages 3-25, October.
    21. Larrain, Borja & Yogo, Motohiro, 2008. "Does firm value move too much to be justified by subsequent changes in cash flow," Journal of Financial Economics, Elsevier, vol. 87(1), pages 200-226, January.
    22. Itay Goldstein & Alexander Guembel, 2008. "Manipulation and the Allocational Role of Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(1), pages 133-164.
    23. Schwert, G William, 1990. "Stock Returns and Real Activity: A Century of Evidence," Journal of Finance, American Finance Association, vol. 45(4), pages 1237-1257, September.
    24. Grossman, Sanford J, 1976. "On the Efficiency of Competitive Stock Markets Where Trades Have Diverse Information," Journal of Finance, American Finance Association, vol. 31(2), pages 573-585, May.
    25. Veronica Guerrieri & Guido Lorenzoni, 2009. "Liquidity and Trading Dynamics," Econometrica, Econometric Society, vol. 77(6), pages 1751-1790, November.
    26. Campbell, John Y & Shiller, Robert J, 1988. " Stock Prices, Earnings, and Expected Dividends," Journal of Finance, American Finance Association, vol. 43(3), pages 661-676, July.
    27. Amador, Manuel & Weill, Pierre-Olivier, 2012. "Learning from private and public observations of othersʼ actions," Journal of Economic Theory, Elsevier, vol. 147(3), pages 910-940.
    28. 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.
    29. Emre Ozdenoren & Kathy Yuan, 2008. "Feedback Effects and Asset Prices," Journal of Finance, American Finance Association, vol. 63(4), pages 1939-1975, August.
    30. Fama, Eugene F, 1990. "Stock Returns, Expected Returns, and Real Activity," Journal of Finance, American Finance Association, vol. 45(4), pages 1089-1108, September.
    31. Avanidhar Subrahmanyam & Sheridan Titman, 2001. "Feedback from Stock Prices to Cash Flows," Journal of Finance, American Finance Association, vol. 56(6), pages 2389-2413, December.
    32. Leland, Hayne E, 1992. "Insider Trading: Should It Be Prohibited?," Journal of Political Economy, University of Chicago Press, vol. 100(4), pages 859-887, August.
    33. Terrance Odean, 1998. "Volume, Volatility, Price, and Profit When All Traders Are Above Average," Journal of Finance, American Finance Association, vol. 53(6), pages 1887-1934, December.
    34. LeRoy, Stephen F & Porter, Richard D, 1981. "The Present-Value Relation: Tests Based on Implied Variance Bounds," Econometrica, Econometric Society, vol. 49(3), pages 555-574, May.
    35. Admati, Anat R. & Pfleiderer, Paul, 1986. "A monopolistic market for information," Journal of Economic Theory, Elsevier, vol. 39(2), pages 400-438, August.
    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. Wael Bousselmi & Patrick Sentis & Marc Willinger, 2018. "Impact of the Brexit vote announcement on long-run market performance," Working Papers hal-01954920, HAL.
    2. Polyzos, Efstathios, 2022. "Examining the asymmetric impact of macroeconomic policy in the UAE: Evidence from quartile impulse responses and machine learning," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    3. Bharat Kumar Meher & Iqbal Thonse Hawaldar & Santosh Kumar & Abhishek Kumar Gupta, 2022. "Modelling Market Indices, Commodity Market Prices and Stock Prices of Energy Sector using VAR with Variance Decomposition Model," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 122-130, July.
    4. Bousselmi, Wael & Sentis, Patrick & Willinger, Marc, 2019. "How do markets react to (un)expected fundamental value shocks? An experimental analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 90-113.
    5. Benhabib, Jess & Liu, Xuewen & Wang, Pengfei, 2016. "Sentiments, financial markets, and macroeconomic fluctuations," Journal of Financial Economics, Elsevier, vol. 120(2), pages 420-443.
    6. Liyan Yang & Itay Goldstein, 2014. "Market Efficiency and Real Efficiency: The Connect and Disconnect via Feedback Effects," 2014 Meeting Papers 154, Society for Economic Dynamics.

    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. John Y. Campbell & John Cochrane, 1999. "Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 205-251, April.
    2. Tarek A. Hassan & Thomas M. Mertens, 2017. "The Social Cost of Near-Rational Investment," American Economic Review, American Economic Association, vol. 107(4), pages 1059-1103, April.
    3. Angeletos, G.-M. & Lian, C., 2016. "Incomplete Information in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1065-1240, Elsevier.
    4. Benhabib, Jess & Liu, Xuewen & Wang, Pengfei, 2016. "Sentiments, financial markets, and macroeconomic fluctuations," Journal of Financial Economics, Elsevier, vol. 120(2), pages 420-443.
    5. Rodriguez, Rosa & Restoy, Fernando & Pena, J. Ignacio, 2002. "Can output explain the predictability and volatility of stock returns?," Journal of International Money and Finance, Elsevier, vol. 21(2), pages 163-182, April.
    6. Roberto Gómez‐Cram, 2022. "Late to Recessions: Stocks and the Business Cycle," Journal of Finance, American Finance Association, vol. 77(2), pages 923-966, April.
    7. Qureshi, Fiza & Khan, Habib Hussain & Rehman, Ijaz Ur & Ghafoor, Abdul & Qureshi, Saba, 2019. "Mutual fund flows and investors’ expectations in BRICS economies: Implications for international diversification," Economic Systems, Elsevier, vol. 43(1), pages 130-150.
    8. Jorgensen, Bjorn & Li, Jing & Sadka, Gil, 2012. "Earnings dispersion and aggregate stock returns," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 1-20.
    9. Bernard Dumas & Alexander Kurshev & Raman Uppal, 2005. "What Can Rational Investors Do About Excessive Volatility and Sentiment Fluctuations?," NBER Working Papers 11803, National Bureau of Economic Research, Inc.
    10. Bernard Dumas & Alexander Kurshev & Raman Uppal, 2009. "Equilibrium Portfolio Strategies in the Presence of Sentiment Risk and Excess Volatility," Journal of Finance, American Finance Association, vol. 64(2), pages 579-629, April.
    11. Tarek A. Hassan & Thomas M. Mertens, 2015. "Information Aggregation in a Dynamic Stochastic General Equilibrium Model," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 159-207.
    12. Sadka, Gil & Sadka, Ronnie, 2009. "Predictability and the earnings-returns relation," Journal of Financial Economics, Elsevier, vol. 94(1), pages 87-106, October.
    13. Ball, Ray & Sadka, Gil, 2015. "Aggregate earnings and why they matter," Journal of Accounting Literature, Elsevier, vol. 34(C), pages 39-57.
    14. Ouzan, Samuel, 2020. "Loss aversion and market crashes," Economic Modelling, Elsevier, vol. 92(C), pages 70-86.
    15. Campbell, John Y., 2003. "Consumption-based asset pricing," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 13, pages 803-887, Elsevier.
    16. Jaewoo Kim & Bryce Schonberger & Charles Wasley & Hunter Land, 2020. "Intertemporal variation in the information content of aggregate earnings and its effect on the aggregate earnings-return relation," Review of Accounting Studies, Springer, vol. 25(4), pages 1410-1443, December.
    17. Stefan Avdjiev & Nathan Balke, 2010. "Stochastic Volatility, Long Run Risks, and Aggregate Stock Market Fluctuations," BIS Working Papers 323, Bank for International Settlements.
    18. Tarek A. Hassan & Thomas M. Mertens, 2014. "Information Aggregation in a DSGE Model," NBER Working Papers 20193, National Bureau of Economic Research, Inc.
    19. Huang, Darien & Kilic, Mete, 2019. "Gold, platinum, and expected stock returns," Journal of Financial Economics, Elsevier, vol. 132(3), pages 50-75.
    20. Verma, Rahul & Soydemir, Gökçe, 2009. "The impact of individual and institutional investor sentiment on the market price of risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 1129-1145, August.

    More about this item

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • 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

    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:19383. 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.