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Leverage and Deepening Business Cycle Skewness

Author

Listed:
  • Petrella, Ivan
  • Jensen, Henrik
  • Ravn, Søren Hove
  • Santoro, Emiliano
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

  • Petrella, Ivan & Jensen, Henrik & Ravn, Søren Hove & Santoro, Emiliano, 2017. "Leverage and Deepening Business Cycle Skewness," CEPR Discussion Papers 12239, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:12239
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    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.
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    More about this item

    Keywords

    Credit constraints; Business cycles; Skewness; Deleveraging;
    All these keywords.

    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

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