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Corporate debt and financial balance sheet adjustment: a comparison of the United States, the United Kingdom, France and Germany

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  • Peter Gibbard
  • Ibrahim Stevens

Abstract

The level of UK corporate debt directly affects financial stability in the United Kingdom because a significant amount of the exposure of the UK financial system is to UK corporates. Our paper provides a comparison of the determinants of corporate debt in the United States, the United Kingdom, France and Germany. The comparison serves to benchmark our findings about the determinants of UK corporate debt. In addition, the UK financial sector is significantly exposed to the corporate sectors in the United States, Germany and France. The model assesses the contribution of investment, acquisitions, cash flows and market-to-book values to the determination of debt, and also the tendency of debt to revert to its optimum level. Debt was found to be positively related to the financing needs of the firm, and the optimum level of debt to be negatively related to the market-to-book ratio. This casts some light on the procyclicality of debt. It suggests the growth of debt in a boom is explained by the increase in financing needs; and this more than offsets the fall in the optimum level of debt associated with the rising market-to-book value. In addition, we found that it may be expected that, in a boom, German and US debt will rise above the optimum level by more than in the United Kingdom and France – responding to the higher levels of investment and acquisitions. And in a slowdown, when adjusting back down to the optimum, German and US debt tends to be paid down more slowly.

Suggested Citation

  • Peter Gibbard & Ibrahim Stevens, 2006. "Corporate debt and financial balance sheet adjustment: a comparison of the United States, the United Kingdom, France and Germany," Bank of England working papers 317, Bank of England.
  • Handle: RePEc:boe:boeewp:317
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    File URL: http://www.bankofengland.co.uk/research/Documents/workingpapers/2006/WP317.pdf
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    References listed on IDEAS

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    1. Myers, Stewart C. & Majluf, Nicolás S., 1945-, 1984. "Corporate financing and investment decisions when firms have information that investors do not have," Working papers 1523-84., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    3. Benito, Andrew & Garry Young, 2002. "Financial Pressure and Balance Sheet Adjustment by UK Firms," Royal Economic Society Annual Conference 2002 20, Royal Economic Society.
    4. Stewart C. Myers & Nicholas S. Majluf, 1984. "Corporate Financing and Investment Decisions When Firms Have InformationThat Investors Do Not Have," NBER Working Papers 1396, National Bureau of Economic Research, Inc.
    5. Antonios Antoniou & Yilmaz Guney & Krishna Paudyal, 2006. "The Determinants of Debt Maturity Structure: Evidence from France, Germany and the UK," European Financial Management, European Financial Management Association, vol. 12(2), pages 161-194.
    6. Huang, Rongbing & Ritter, Jay R., 2009. "Testing Theories of Capital Structure and Estimating the Speed of Adjustment," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(02), pages 237-271, April.
    7. Myers, Stewart C. & Majluf, Nicholas S., 1984. "Corporate financing and investment decisions when firms have information that investors do not have," Journal of Financial Economics, Elsevier, vol. 13(2), pages 187-221, June.
    8. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    9. Arulampalam, W., 1998. "A Note on Estimated Coefficients in Random Effects Probit Models," The Warwick Economics Research Paper Series (TWERPS) 520, University of Warwick, Department of Economics.
    10. Eugene F. Fama, 2002. "Testing Trade-Off and Pecking Order Predictions About Dividends and Debt," Review of Financial Studies, Society for Financial Studies, vol. 15(1), pages 1-33, March.
    11. Rafael La Porta & Florencio Lopez-de-Silanes & Andrei Shleifer & Robert W. Vishny, 1998. "Law and Finance," Journal of Political Economy, University of Chicago Press, vol. 106(6), pages 1113-1155, December.
    12. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    13. Ben Bernanke & Mark Gertler, 1990. "Financial Fragility and Economic Performance," The Quarterly Journal of Economics, Oxford University Press, vol. 105(1), pages 87-114.
    14. Antonios Antoniou & Yilmaz Guney & Krishna Paudyal, 2008. "The determinants of corporate debt ownership structure: Evidence from market-based and bank-based economies," Managerial Finance, Emerald Group Publishing, vol. 34(12), pages 821-847, October.
    15. 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.
    16. Jensen, Michael C, 1986. "Agency Costs of Free Cash Flow, Corporate Finance, and Takeovers," American Economic Review, American Economic Association, vol. 76(2), pages 323-329, May.
    17. Friderichs Hans & Paranque Bernard, 2001. "Structures of Corporate Finance in Germany and France. A Comparative Analysis for West German and French Incorporated Enterprises / Strukturen der Unternehmensfinanzierung in Deutschland und Frankreic," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 221(5-6), pages 648-671, October.
    18. Mariacristina De Nardi & Anne Villamil, 2009. "Entrepreneurship, finance and employment," Annals of Finance, Springer, vol. 5(3), pages 289-293, June.
    19. Ivo Welch, 2002. "Columbus' Egg: The Real Determinant of Capital Structure," NBER Working Papers 8782, National Bureau of Economic Research, Inc.
    20. Blundell, Richard & Bond, Stephen & Devereux, Michael & Schiantarelli, Fabio, 1992. "Investment and Tobin's Q: Evidence from company panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 233-257.
    21. Guilkey, David K. & Murphy, James L., 1993. "Estimation and testing in the random effects probit model," Journal of Econometrics, Elsevier, vol. 59(3), pages 301-317, October.
    22. Michael J. Barclay & Clifford W. Smith & Ross L. Watts, 1995. "The Determinants Of Corporate Leverage And Dividend Policies," Journal of Applied Corporate Finance, Morgan Stanley, vol. 7(4), pages 4-19.
    23. Antoniou, Antonios & Guney, Yilmaz & Paudyal, Krishna, 2008. "The Determinants of Capital Structure: Capital Market-Oriented versus Bank-Oriented Institutions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(01), pages 59-92, March.
    24. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    25. Shyam-Sunder, Lakshmi & C. Myers, Stewart, 1999. "Testing static tradeoff against pecking order models of capital structure," Journal of Financial Economics, Elsevier, vol. 51(2), pages 219-244, February.
    26. Ivo Welch, 2004. "Capital Structure and Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 106-131, February.
    27. Myers, Stewart C., 1977. "Determinants of corporate borrowing," Journal of Financial Economics, Elsevier, vol. 5(2), pages 147-175, November.
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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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