IDEAS home Printed from https://ideas.repec.org/p/wrk/wrkemf/21.html
   My bibliography  Save this paper

Leverage and Deepening Business Cycle Skewness

Author

Listed:
  • Jensen, Henrik

    (University of Copenhagen)

  • Petrella, Ivan

    (University of Warwick)

  • Ravn, Soren

    (University of Copenhagen)

  • Santoro, Emiliano

    (University of Copenhagen)

Abstract

We document that the U.S. and other G7 economies have been characterized by an increasingly negative business cycle asymmetry over the last three decades. This finding can be explained by the concurrent increase in the financial leverage of households and firms. To support this view, we devise and estimate a dynamic general equilibrium model with collateralized borrowing and occasionally binding credit constraints. Improved access to credit increases the likelihood that financial constraints become non-binding in the face of expansionary shocks, allowing agents to freely substitute intertemporally. Contractionary shocks, on the other hand, are further amplified by drops in collateral values, since constraints remain binding. As a result, booms become progressively smoother and more prolonged than busts. Finally, in line with recent empirical evidence, financially-driven expansions lead to deeper contractions, as compared with equally-sized non-financial expansions.

Suggested Citation

  • Jensen, Henrik & Petrella, Ivan & Ravn, Soren & Santoro, Emiliano, 2019. "Leverage and Deepening Business Cycle Skewness," EMF Research Papers 21, Economic Modelling and Forecasting Group.
  • Handle: RePEc:wrk:wrkemf:21
    as

    Download full text from publisher

    File URL: https://warwick.ac.uk/fac/soc/wbs/subjects/finance/mpf/working-papers/emf_wp_20.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Boz, Emine & Mendoza, Enrique G., 2014. "Financial innovation, the discovery of risk, and the U.S. credit crisis," Journal of Monetary Economics, Elsevier, vol. 62(C), pages 1-22.
    2. Jack Favilukis & Sydney C. Ludvigson & Stijn Van Nieuwerburgh, 2017. "The Macroeconomic Effects of Housing Wealth, Housing Finance, and Limited Risk Sharing in General Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 125(1), pages 140-223.
    3. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
    4. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Working Papers 720, Queen Mary University of London, School of Economics and Finance.
    5. Thomas W. Bates & Kathleen M. Kahle & René M. Stulz, 2009. "Why Do U.S. Firms Hold So Much More Cash than They Used To?," Journal of Finance, American Finance Association, vol. 64(5), pages 1985-2021, October.
    6. John V. Duca & John Muellbauer & Anthony Murphy, 2011. "House Prices and Credit Constraints: Making Sense of the US Experience," Economic Journal, Royal Economic Society, vol. 121(552), pages 533-551, May.
    7. Matthew Chambers & Carlos Garriga & Don E. Schlagenhauf, 2009. "Accounting For Changes In The Homeownership Rate," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 677-726, August.
    8. James H. Stock & Mark W. Watson, 2003. "Has the Business Cycle Changed and Why?," NBER Chapters, in: NBER Macroeconomics Annual 2002, Volume 17, pages 159-230, National Bureau of Economic Research, Inc.
    9. James H. Stock & Mark W. Watson, 2003. "Has the business cycle changed?," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 9-56.
    10. Kapetanios, George, 2007. "Estimating deterministically time-varying variances in regression models," Economics Letters, Elsevier, vol. 97(2), pages 97-104, November.
    11. James H. Stock & Mark W. Watson, 2005. "Understanding Changes In International Business Cycle Dynamics," Journal of the European Economic Association, MIT Press, vol. 3(5), pages 968-1006, September.
    12. Zacharias Psaradakis & Martin Sola, 2003. "On detrending and cyclical asymmetry," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 271-289.
    13. Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017. "Tracking the Slowdown in Long-Run GDP Growth," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 343-356, May.
    14. Claudio Borio, 2014. "The financial cycle and macroeconomics: what have we learned and what are the policy implications?," Chapters, in: Ewald Nowotny & Doris Ritzberger-Grünwald & Peter Backé (ed.), Financial Cycles and the Real Economy, chapter 2, pages 10-35, Edward Elgar Publishing.
    15. Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.
    16. Julio J. Rotemberg, 1999. "A Heuristic Method for Extracting Smooth Trends from Economic Time Series," NBER Working Papers 7439, National Bureau of Economic Research, Inc.
    17. Giraitis, L. & Kapetanios, G. & Yates, T., 2014. "Inference on stochastic time-varying coefficient models," Journal of Econometrics, Elsevier, vol. 179(1), pages 46-65.
    18. Borio, Claudio, 2014. "The financial cycle and macroeconomics: What have we learnt?," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 182-198.
    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. Jensen, Henrik & Ravn, Søren Hove & Santoro, Emiliano, 2018. "Changing credit limits, changing business cycles," European Economic Review, Elsevier, vol. 102(C), pages 211-239.
    2. Lukasz Lenart & Blazej Mazur & Mateusz Pipien, 2016. "Statistical Analysis Of Business Cycle Fluctuations In Poland Before And After The Crisis," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(4), pages 769-783, December.
    3. Charles Ka Yui Leung & Joe Cho Yiu Ng, 2018. "Macro Aspects of Housing," GRU Working Paper Series GRU_2018_016, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    4. Daniel L. Tortorice, 2019. "Long-Run Expectations, Learning and the US Housing Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 497-531, October.
    5. Magnus Reif, 2022. "Time‐Varying Dynamics of the German Business Cycle: A Comprehensive Investigation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 80-102, February.
    6. Roy, Saktinil, 2022. "What drives the systemic banking crises in advanced economies?," Global Finance Journal, Elsevier, vol. 54(C).
    7. Friedrich Lucke, 2022. "The Great Moderation and the Financial Cycle," Working Papers REM 2022/0238, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    8. Blot, Christophe & Creel, Jérôme & Hubert, Paul & Labondance, Fabien & Saraceno, Francesco, 2015. "Assessing the link between price and financial stability," Journal of Financial Stability, Elsevier, vol. 16(C), pages 71-88.
    9. Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
    10. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2013. "The Effects of the Saving and Banking Glut on the U.S. Economy," NBER Chapters, in: NBER International Seminar on Macroeconomics 2013, pages 52-67, National Bureau of Economic Research, Inc.
    11. John V. Duca & Lilit Popoyan & Susan M. Wachter, 2019. "Real Estate And The Great Crisis: Lessons For Macroprudential Policy," Contemporary Economic Policy, Western Economic Association International, vol. 37(1), pages 121-137, January.
    12. Luca Gambetti & Jordi Galí, 2009. "On the Sources of the Great Moderation," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 26-57, January.
    13. Sylvain Leduc & Keith Sill, 2007. "Monetary Policy, Oil Shocks, and TFP: Accounting for the Decline in U.S. Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(4), pages 595-614, October.
    14. Javier Bianchi & Enrique Mendoza, 2020. "A Fisherian Approach to Financial Crises: Lessons from the Sudden Stops Literature," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 254-283, August.
    15. Eunseong Ma & Sarah Zubairy, 2021. "Homeownership And Housing Transitions: Explaining The Demographic Composition," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 599-638, May.
    16. Canova, Fabio & Gambetti, Luca, 2009. "Structural changes in the US economy: Is there a role for monetary policy?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 477-490, February.
    17. Dindo, Pietro & Modena, Andrea & Pelizzon, Loriana, 2022. "Risk pooling, intermediation efficiency, and the business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    18. Larin, Benjamin, 2016. "A Quantitative Model of Bubble-Driven Business Cycles," VfS Annual Conference 2016 (Augsburg): Demographic Change 145817, Verein für Socialpolitik / German Economic Association.
    19. Bianchi, Javier & Liu, Chenxin & Mendoza, Enrique G., 2016. "Fundamentals news, global liquidity and macroprudential policy," Journal of International Economics, Elsevier, vol. 99(S1), pages 2-15.
    20. Luca Gambetti & Evi Pappa & Fabio Canova, 2008. "The Structural Dynamics of U.S. Output and Inflation: What Explains the Changes?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2-3), pages 369-388, March.

    More about this item

    Keywords

    Credit constraints; business cycles; skewness; deleveraging; JEL Classification Numbers: E32 ; E44;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    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:wrk:wrkemf:21. 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: Ana Galvão (email available below). General contact details of provider: https://edirc.repec.org/data/emwaruk.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.