IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/2014-05.html
   My bibliography  Save this paper

Idiosyncratic Investment Risk and Business Cycles

Author

Abstract

I show that, due to imperfect risk sharing, aggregate shocks to uncertainty about idiosyncratic return on investment generate economic contractions with elevated risk premia and a decrease in the risk-free rate. I present a tractable real business cycle model in which firms experience idiosyncratic shocks, to which managers are at least partially exposed; the distribution of these shocks is time-varying and stochastic. I show that the path for aggregate quantities, the price of physical capital, and the equity premium are the same as in a model without idiosyncratic risk, but with time-preference shocks. That is, in response to an increase in idiosyncratic uncertainty, the response of these variables is the same as if there were no idiosyncratic uncertainty but managers were suddenly reluctant to invest. However, time-preference and idiosyncratic uncertainty shocks are not isomorphic: an increase in idiosyncratic uncertainty leads to greater demand for precautionary saving and hence a decrease in the risk-free rate; in contrast, an increase in impatience has the opposite effect. In addition, with an idiosyncratic uncertainty shock, investment in physical capital can remain low even after the stock market and firm profitability recover, because managers cannot fully transfer idiosyncratic risk to diversified investors. Thus, shocks to idiosyncratic investment risk can explain, qualitatively, the aftermath of financial panics--elevated risk premia, a sharp and persistent decrease in investment, and a decrease in the risk-free rate. In a calibration, an increase in idiosyncratic investment risk similar to that experienced during the Great Recession leads firms to invest as if their cost of capital were 10 percentage points higher than the cost of capital implied by financial markets, and to a large decrease in the real risk-free rate.

Suggested Citation

  • Jonathan Goldberg, 2014. "Idiosyncratic Investment Risk and Business Cycles," Finance and Economics Discussion Series 2014-05, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2014-05
    as

    Download full text from publisher

    File URL: http://www.federalreserve.gov/pubs/feds/2014/201405/201405pap.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eric Rasmusen, 2007. "When Does Extra Risk Strictly Increase an Option's Value?," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1647-1667, 2007 14.
    2. Jordi Galí & Frank Smets & Rafael Wouters, 2012. "Unemployment in an Estimated New Keynesian Model," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 329-360.
    3. Nikolai Roussanov, 2010. "Diversification and Its Discontents: Idiosyncratic and Entrepreneurial Risk in the Quest for Social Status," Journal of Finance, American Finance Association, vol. 65(5), pages 1755-1788, October.
    4. Vasia Panousi & Dimitris Papanikolaou, 2012. "Investment, Idiosyncratic Risk, and Ownership," Journal of Finance, American Finance Association, vol. 67(3), pages 1113-1148, June.
    5. Lawrence Christiano & Martin Eichenbaum & Sergio Rebelo, 2011. "When Is the Government Spending Multiplier Large?," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 78-121.
    6. Gauti B. Eggertsson & Michael Woodford, 2003. "The Zero Bound on Interest Rates and Optimal Monetary Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(1), pages 139-235.
    7. François Gourio, 2013. "Credit Risk and Disaster Risk," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(3), pages 1-34, July.
    8. repec:bla:jfinan:v:58:y:2003:i:3:p:975-1008 is not listed on IDEAS
    9. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    10. Vasia Panousi, 2010. "Capital taxation with entrepreneurial risk," Finance and Economics Discussion Series 2010-56, Board of Governors of the Federal Reserve System (U.S.).
    11. repec:bla:jfinan:v:59:y:2004:i:5:p:2211-2252 is not listed on IDEAS
    12. Jason M. DeBacker & Bradley T. Heim & Vasia Panousi & Shanthi Ramnath & Ivan Vidangos, 2012. "The properties of income risk in privately held businesses," Finance and Economics Discussion Series 2012-69, Board of Governors of the Federal Reserve System (U.S.).
    13. Angeletos, George-Marios & Panousi, Vasia, 2009. "Revisiting the supply side effects of government spending," Journal of Monetary Economics, Elsevier, vol. 56(2), pages 137-153, March.
    14. Francisco J. Buera & Benjamin Moll, 2012. "Aggregate Implications of a Credit Crunch," NBER Working Papers 17775, National Bureau of Economic Research, Inc.
    15. Amit Goyal & Pedro Santa‐Clara, 2003. "Idiosyncratic Risk Matters!," Journal of Finance, American Finance Association, vol. 58(3), pages 975-1007, June.
    16. George-Marios Angeletos & Vasia Panousi, 2011. "Financial Integration, Entrepreneurial Risk and Global Imbalances," NBER Working Papers 16761, National Bureau of Economic Research, Inc.
    17. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    Full references (including those not matched with items on IDEAS)

    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. Isoré, Marlène & Szczerbowicz, Urszula, 2017. "Disaster risk and preference shifts in a New Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 97-125.
    2. Jason M. DeBacker & Bradley T. Heim & Vasia Panousi & Shanthi Ramnath & Ivan Vidangos, 2012. "The properties of income risk in privately held businesses," Finance and Economics Discussion Series 2012-69, Board of Governors of the Federal Reserve System (U.S.).
    3. Christopher J. Erceg & Jesper Lindé, 2011. "Asymmetric Shocks in a Currency Union with Monetary and Fiscal Handcuffs," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 7(1), pages 95-136.
    4. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    5. Yasuo Hirose & Atsushi Inoue, 2016. "The Zero Lower Bound and Parameter Bias in an Estimated DSGE Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 630-651, June.
    6. Christopher Erceg & Jesper Lindé, 2014. "Is There A Fiscal Free Lunch In A Liquidity Trap?," Journal of the European Economic Association, European Economic Association, vol. 12(1), pages 73-107, February.
    7. Jesper Lindé & Mathias Trabandt, 2018. "Should we use linearized models to calculate fiscal multipliers?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 937-965, November.
    8. Olivier Marie, 2016. "Police and thieves in the stadium: measuring the (multiple) effects of football matches on crime," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 273-292, January.
    9. Francisco J. Buera & Juan Pablo Nicolini, 2020. "Liquidity Traps and Monetary Policy: Managing a Credit Crunch," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(3), pages 110-138, July.
    10. Lemoine, Matthieu & Lindé, Jesper, 2016. "Fiscal consolidation under imperfect credibility," European Economic Review, Elsevier, vol. 88(C), pages 108-141.
    11. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2018. "On DSGE Models," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 113-140, Summer.
    12. Mayer, Eric & Rüth, Sebastian & Scharler, Johann, 2016. "Total factor productivity and the propagation of shocks: Empirical evidence and implications for the business cycle," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 335-346.
    13. Oliver de Groot & Alexander W. Richter & Nathaniel A. Throckmorton, 2022. "Valuation risk revalued," Quantitative Economics, Econometric Society, vol. 13(2), pages 723-759, May.
    14. Erceg, Christopher J. & Lindé, Jesper, 2013. "Fiscal consolidation in a currency union: Spending cuts vs. tax hikes," Journal of Economic Dynamics and Control, Elsevier, vol. 37(2), pages 422-445.
    15. Jonathan Goldberg, 2013. "Credit-crunch dynamics with uninsured investment risk," Finance and Economics Discussion Series 2013-47, Board of Governors of the Federal Reserve System (U.S.).
    16. Lemoine, Matthieu & Lindé, Jesper, 2023. "Fiscal stimulus in liquidity traps: Conventional or unconventional policies?," European Economic Review, Elsevier, vol. 151(C).
    17. Andrew Binning & Junior Maih, 2016. "Implementing the Zero Lower Bound in an Estimated Regime-Switching DSGE Model," Working Papers No 3/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    18. Bodenstein, Martin & Guerrieri, Luca & Gust, Christopher J., 2013. "Oil shocks and the zero bound on nominal interest rates," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 941-967.
    19. Ciccarelli, Matteo & Darracq Pariès, Matthieu & Priftis, Romanos & Angelini, Elena & Bańbura, Marta & Bokan, Nikola & Fagan, Gabriel & Gumiel, José Emilio & Kornprobst, Antoine & Lalik, Magdalena & Mo, 2024. "ECB macroeconometric models for forecasting and policy analysis," Occasional Paper Series 344, European Central Bank.
    20. Gadatsch, Niklas & Hauzenberger, Klemens & Stähler, Nikolai, 2015. "German and the rest of euro area fiscal policy during the crisis," Discussion Papers 05/2015, Deutsche Bundesbank.

    More about this item

    Keywords

    Incomplete markets; idiosyncratic risk; business cycles; equity premiums; risk-free rates;
    All these keywords.

    JEL classification:

    • D52 - Microeconomics - - General Equilibrium and Disequilibrium - - - Incomplete Markets
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:fip:fedgfe:2014-05. 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: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.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.