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Implicit interest rates and corporate balance sheets: an analysis using aggregate and disaggregated UK data

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Listed author(s):
  • Andrew Benito
  • John Whitley

Abstract

Credit channel models emphasise the importance of financial variables in macroeconomic responses to unanticipated economic events. In this paper empirical models are developed that relate implicit interest rates paid by firms to measures of their financial health (principally capital gearing) using both aggregate data and information from individual company accounts. Both aggregate and disaggregated approaches confirm a significant influence on interest rates from changes in the financial health of companies. The aggregate relationship finds support for the hypothesis that implicit interest rates depend on the initial level of indebtedness in a non-linear way. The estimated equation is used within the Bank of England's macroeconomic model (extended to incorporate the balance sheets of the corporate and household sectors) to simulate the role of the credit channel mechanism in response to shocks.

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File URL: http://www.bankofengland.co.uk/archive/Documents/historicpubs/workingpapers/2003/wp193.pdf
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Paper provided by Bank of England in its series Bank of England working papers with number 193.

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Date of creation: Jun 2003
Handle: RePEc:boe:boeewp:193
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  1. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393 Elsevier.
  2. Bover, Olympia & Watson, Nadine, 2005. "Are there economies of scale in the demand for money by firms? Some panel data estimates," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1569-1589, November.
  3. 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.
  4. Benito, Andrew & Garry Young, 2002. "Financial Pressure and Balance Sheet Adjustment by UK Firms," Royal Economic Society Annual Conference 2002 20, Royal Economic Society.
  5. 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.
  6. von Kalckreuth, Ulf, 2001. "Monetary transmission in Germany: New Perspectives on Financial Constraints and Investment Spending," Discussion Paper Series 1: Economic Studies 2001,19, Deutsche Bundesbank, Research Centre.
  7. Chatelain, Jean-Bernard & Tiomo, André, 2001. "Investment, the cost of capital, and monetary policy in the nineties in France: a panel data investigation," Working Paper Series 0106, European Central Bank.
  8. 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.
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  10. repec:sae:niesru:v:139:y::i:1:p:88-94 is not listed on IDEAS
  11. 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.
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Cited by:

  1. Jarko Fidrmuc & Roman Horváth & Eva Horváthová, 2010. "Corporate Interest Rates and the Financial Accelerator in the Czech Republic," Emerging Markets Finance and Trade, M.E. Sharpe, Inc., vol. 46(4), pages 41-54, January.
  2. Roman Horváth, 2005. "Financial Accelerator Effects in the Balance Sheets of Czech Firms," Working Papers IES 96, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised 2005.
  3. John Whitley & Richard Windram, 2003. "A quantitative framework for commercial property and its relationship to the analysis of the financial stability of the corporate sector," Bank of England working papers 207, Bank of England.
  4. Spaliara, Marina-Eliza, 2009. "Do financial factors affect the capital-labour ratio? Evidence from UK firm-level data," Journal of Banking & Finance, Elsevier, vol. 33(10), pages 1932-1947, October.
  5. Fidrmuc, Jarko & Siddiqui, Martin, 2015. "Institutions and Creative Destruction in CEECs: Determinants of Inefficient Use of Assets," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113201, Verein für Socialpolitik / German Economic Association.
  6. Ramachandran Azhagaiah & Selvaraj Sathia, 2012. "Corporate Leverage and Financial Decision in the Indian Textile Industry," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 10(1 (Spring), pages 87-114.
  7. Görg, Holger & Spaliara, Marina-Eliza, 2013. "Export market exit, financial pressure and the crisis," CEPR Discussion Papers 9599, C.E.P.R. Discussion Papers.
  8. Jarko Fidrmuc & Philipp Schreiber & Martin Siddiqui, 2015. "The Transmission of Bank Funding to Corporate Loans: Deleveraging in Germany," Open Economies Review, Springer, vol. 26(3), pages 581-597, July.
  9. Sánchez-Vidal, F. Javier, 2014. "High debt companies' leverage determinants in Spain: A quantile regression approach," Economic Modelling, Elsevier, vol. 36(C), pages 455-465.

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