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A Model of Capital Structure when Earnings Are Mean-Reverting

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  • Raymar, Steven

Abstract

A multiperiod model of optimal capital structure is developed under the assumption that earnings follow an autoregressive process. Firm value and leverage vary through time and, at each date, the firm achieves an optimal debt level that is a function of the full state contingent debt policy. The reversion parameter of the earnings series is shown to be positively related to various measures of variability and negatively related to leverage. If earnings processes are not homogeneous across firms, then standard earnings risk measures in capital structure studies do not adequately represent crosssectional differences in variability in firm value.

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  • Raymar, Steven, 1991. "A Model of Capital Structure when Earnings Are Mean-Reverting," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 26(3), pages 327-344, September.
    • Handle: RePEc:cup:jfinqa:v:26:y:1991:i:03:p:327-344_00
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    Cited by:

    1. Talbot, Edward & Artiach, Tracy & Faff, Robert, 2013. "What drives the commodity price beta of oil industry stocks?," Energy Economics, Elsevier, vol. 37(C), pages 1-15.
    2. Casey, Christopher, 2001. "Corporate valuation, capital structure and risk management: A stochastic DCF approach," European Journal of Operational Research, Elsevier, vol. 135(2), pages 311-325, December.
    3. Ramachandran Azhagaiah & Candasamy Gavoury, 2011. "The Impact of Capital Structure on Profitability with Special Reference to IT Industry in India vs. Domestic Products," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 9(4 (Winter), pages 371-392.
    4. M. E. Bontempi & L. Bottazzi & R. Golinelli, 2015. "Dynamic corporate capital structure behavior: empirical assessment in the light of heterogeneity and non stationarity," Working Papers wp988, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. Hong, Gwangheon & Sarkar, Sudipto, 2008. "Commodity betas with mean reverting output prices," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1286-1296, July.
    6. Manak Gupta & Alice Lee, 2006. "An Integrated Model of Debt Issuance, Refunding, and Maturity," Review of Quantitative Finance and Accounting, Springer, vol. 26(2), pages 177-199, March.
    7. Baele, Lieven & De Bruyckere, Valerie & De Jonghe, Olivier & Vander Vennet, Rudi, 2014. "Do stock markets discipline US Bank Holding Companies: Just monitoring, or also influencing?," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 124-145.
    8. Maria Elena Bontempi & Roberto Golinelli, 2012. "The effect of neglecting the slope parameters’ heterogeneity on dynamic models of corporate capital structure," Quantitative Finance, Taylor & Francis Journals, vol. 12(11), pages 1733-1751, November.
    9. Bontempi, Maria Elena & Bottazzi, Laura & Golinelli, Roberto, 2020. "A multilevel index of heterogeneous short-term and long-term debt dynamics," Journal of Corporate Finance, Elsevier, vol. 64(C).
    10. Sudipto Sarkar, 1999. "Illiquidity Risk, Project Characteristics, And The Optimal Maturity Of Corporate Debt," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(3), pages 353-370, September.
    11. Glover, Kristoffer J. & Hambusch, Gerhard, 2016. "Leveraged investments and agency conflicts when cash flows are mean reverting," Journal of Economic Dynamics and Control, Elsevier, vol. 67(C), pages 1-21.

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