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Learning and Leverage Cycles in General Equilibrium: Theory and Evidence
[How sensitive is investment to cash flow when financing is frictionless?]

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  • Christopher A Hennessy
  • Boris Radnaev

Abstract

This article develops and empirically tests a tractable general equilibrium model of corporate financing and investment dynamics in a trade-off economy where heterogeneous firms face unobservable disaster risk and engage in rational Bayesian learning. The model sheds light on leverage cycles. During periods absent disasters: equity premia decrease; credit spreads decrease; expected loss-given-default increases; and leverage ratios increase. Time-since-prior-disaster is the key model conditioning variable. In response to a disaster, risk premia increase while firms sharply reduce labor, capital and leverage, with response size increasing in time-since-prior-disasters. Firms with high bankruptcy costs are most responsive to the time-since-disaster variable. Disaster responses are more pronounced than in an otherwise equivalent economy featuring observed disaster risk. Empirical tests of novel corporate finance predictions are conducted. Consistent with the model, we find empirically that leverage and investment are increasing in time-since-prior-recessions, with the effect more pronounced for firms with low recovery ratios.

Suggested Citation

  • Christopher A Hennessy & Boris Radnaev, 2018. "Learning and Leverage Cycles in General Equilibrium: Theory and Evidence [How sensitive is investment to cash flow when financing is frictionless?]," Review of Finance, European Finance Association, vol. 22(1), pages 311-335.
  • Handle: RePEc:oup:revfin:v:22:y:2018:i:1:p:311-335.
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    File URL: http://hdl.handle.net/10.1093/rof/rfw058
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    References listed on IDEAS

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    1. François Gourio, 2013. "Credit Risk and Disaster Risk," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(3), pages 1-34, July.
    2. Goldstein, Robert & Ju, Nengjiu & Leland, Hayne, 2001. "An EBIT-Based Model of Dynamic Capital Structure," The Journal of Business, University of Chicago Press, vol. 74(4), pages 483-512, October.
    3. Robert J. Barro & Tao Jin, 2011. "On the Size Distribution of Macroeconomic Disasters," Econometrica, Econometric Society, vol. 79(5), pages 1567-1589, September.
    4. Lubos Pastor & Pietro Veronesi, 2009. "Learning in Financial Markets," Annual Review of Financial Economics, Annual Reviews, vol. 1(1), pages 361-381, November.
    5. Larry G. Epstein & Stanley E. Zin, 2013. "Substitution, risk aversion and the temporal behavior of consumption and asset returns: A theoretical framework," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 12, pages 207-239, World Scientific Publishing Co. Pte. Ltd..
    6. Jessica A. Wachter, 2013. "Can Time-Varying Risk of Rare Disasters Explain Aggregate Stock Market Volatility?," Journal of Finance, American Finance Association, vol. 68(3), pages 987-1035, June.
    7. Rietz, Thomas A., 1988. "The equity risk premium a solution," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 117-131, July.
    8. Rajan, Raghuram G & Zingales, Luigi, 1995. "What Do We Know about Capital Structure? Some Evidence from International Data," Journal of Finance, American Finance Association, vol. 50(5), pages 1421-1460, December.
    9. Emi Nakamura & Jón Steinsson & Robert Barro & José Ursúa, 2013. "Crises and Recoveries in an Empirical Model of Consumption Disasters," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(3), pages 35-74, July.
    10. John R. Graham & Mark T. Leary & Michael R. Roberts, 2013. "A Century of Capital Structure: The Leveraging of Corporate America," NBER Chapters, in: New Perspectives on Corporate Capital Structure, National Bureau of Economic Research, Inc.
    11. Leary, Mark T. & Roberts, Michael R., 2010. "The pecking order, debt capacity, and information asymmetry," Journal of Financial Economics, Elsevier, vol. 95(3), pages 332-355, March.
    12. Koulovatianos, Christos & Wieland, Volker, 2011. "Asset pricing under rational learning about rare disasters," IMFS Working Paper Series 46, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    13. Robert J. Barro, 2009. "Rare Disasters, Asset Prices, and Welfare Costs," American Economic Review, American Economic Association, vol. 99(1), pages 243-264, March.
    14. Benzoni, Luca & Collin-Dufresne, Pierre & Goldstein, Robert S., 2011. "Explaining asset pricing puzzles associated with the 1987 market crash," Journal of Financial Economics, Elsevier, vol. 101(3), pages 552-573, September.
    15. Glover, Brent, 2016. "The expected cost of default," Journal of Financial Economics, Elsevier, vol. 119(2), pages 284-299.
    16. Dario Caldara & Jesus Fernandez-Villaverde & Juan Rubio-Ramirez & Wen Yao, 2012. "Computing DSGE Models with Recursive Preferences and Stochastic Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 188-206, April.
    17. Aruoba, S. Boragan & Fernandez-Villaverde, Jesus & Rubio-Ramirez, Juan F., 2006. "Comparing solution methods for dynamic equilibrium economies," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2477-2508, December.
    18. Nathalie Moyen & Stefan Platikanov, 2013. "Corporate Investments and Learning," Review of Finance, European Finance Association, vol. 17(4), pages 1437-1488.
    19. Long Chen & Pierre Collin-Dufresne & Robert S. Goldstein, 2009. "On the Relation Between the Credit Spread Puzzle and the Equity Premium Puzzle," Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3367-3409, September.
    20. Aydoḡan Alti, 2003. "How Sensitive Is Investment to Cash Flow When Financing Is Frictionless?," Journal of Finance, American Finance Association, vol. 58(2), pages 707-722, April.
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