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A Model for Corporate Debt Maturity Decisions

Published online by Cambridge University Press:  19 October 2009

James R. Morris
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Extract

Whenever the firm must borrow funds, it must also decide maturity of the new debt. Yet, the decision models which have dealt with the debt maturity decision have done so almost incidentally, as an extension of the decision to exercise the call provision on outstanding bonds ([6], [10], [23]). There has been little direct examination of the corporate debt maturity decision. In an attempt to fill this gap, this paper is an exploration of the debt maturity decision for a firm which is concerned with minimizing the present value of the expected costs of borrowing. This paper develops a discrete dynamic programming model of the debt maturity decision, in a world where interest rates follow a finite Markov process, and where the yield curve is formed from expectations regarding the future course of interest rates. With this optimization model, the influence on the debt maturity strategy of variables such as flotation costs and liquidity premiums will be explored. There will be no consideration of the risks associated with alternative borrowing strategies.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 11 , Issue 3 , September 1976 , pp. 339 - 357
Copyright
Copyright © School of Business Administration, University of Washington 1976

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References

REFERENCES

[1]Anderson, T. W., and Goodman, L. A.. “Statistical Inference about Markov Chains.” Annals of Mathematic Statistics, vol. 28 (1957), pp. 89–110.CrossRefGoogle Scholar
[2]Bierman, H. “The Bond Refunding Decision as a Markov Process.” Management Science, vol. 12, no. 12 (August 1966), pp. B545–B551.CrossRefGoogle Scholar
[3]Blackwell, D. “Discrete Dynamic Programming.” Annals of Mathematical Statistics, vol. 33 (1962), pp. 719–726.CrossRefGoogle Scholar
[4]Bowlin, O. “The Refunding Decision: Another Special Case in Capital Budgeting.” Journal of Finance, vol. 21, no. 1 (March 1966), pp. 55–68.Google Scholar
[5]Cagan, Phillip. “A Study of Liquidity Premiums on Federal and Municipal Government Securities.” Essays oh Interest Rates, vol. 1, edited by Guttentag, J. and Cagan, P.. New York: National Bureau of Economic Research, 1969, pp. 107–142.Google Scholar
[6]Elton, E., and Gruber, M.. “Dynamic Programming Applications in Finance.” Journal of Finance, vol. 26, no. 2 (May 1971), pp. 473–506.CrossRefGoogle Scholar
[7]Hicks, J. R.Value and Capital, 2nd ed.London: Oxford at the Clarendon Press, 1946.Google Scholar
[8]Hoel, P. G. “A Test for Markoff Chains.” Biometrika, vol. 41 (1954), pp. 430–433.CrossRefGoogle Scholar
[9]Howard, R.Dynamic Programming and Markov Processes. Cambridge: MIT Press, 1960.Google Scholar
[10]Kalymon, B. A. “Bond Refunding with Stochastic Interest Rates.” Management Science, vol. 18, no. 3 (November 1971), pp. 171–183.CrossRefGoogle Scholar
[11]Kessel, Reuben. The Cyclical Behavior of the Term Structure of Interest Rates. Occasional Paper 91. New York: National Bureau of Economic Research, December 1965.Google Scholar
[12]Kraus, A. “The Bond Refunding Decision in an Efficient Market.” Journal of Financial and Quantitative Analysis, vol. 8, no. 5 (December 1973), pp. 793–806.CrossRefGoogle Scholar
[13]Lee, T. C.; Judge, G. G.; and Zellner, A.. Estimating the Parameters of the Markov Probability Model from Aggregate Time Series Data. Amsterdam: North Holland Publishing Co., 1970.Google Scholar
[14]Lutz, Friedrich A. “The Structure of Interest Rates.” Quarterly Journal of Economics, vol. 55 (November 1940), pp. 36–63.CrossRefGoogle Scholar
[15]Malkiel, B.The Term Structure of Interest Rates: Expectations and Behavior Patterns. Princeton: Princeton University Press, 1966.Google Scholar
[16]Meiselman, D.The Term Structure of Interest Rates. Englewood Cliffs, N.J.: Prentice Hall, 1962.Google Scholar
[17]Pye, Gordon. “A Markov Model of the Term Structure.” Quarterly Journal of Economics, vol. 80, no. 1 (February 1966), pp. 60–72.CrossRefGoogle Scholar
[18]Pye, Gordon. “The Value of the Call Option on a Bond.” The Journal of Political Economy, vol. 84, no. 2 (April 1966), pp. 200–205.CrossRefGoogle Scholar
[19]Pye, Gordon. “The Value of Call Deferment on a Bond: Some Empirical Results.” Journal of Finance, vol. 22, no. 5 (December 1967), pp. 623–636.Google Scholar
[20]Roll, Richard. The Behavior of Interest Rates: An Application of the Efficient Market Model to U.S. Treasury Bills. New York: Basic Books, 1970.Google Scholar
[21]Roll, Richard. “Investment Diversification and Bond Maturity.” Journal of Finance, vol. 26, no. 1 (March 1971), pp. 51–66.CrossRefGoogle Scholar
[22]Van Horne, James C.Function and Analysis of Capital Market Rates. Englewood Cliffs, N.J.: Prentice Hall, 1970.Google Scholar
[23]Weingartner, H. M. “Optimal Timing of Bond Refunding.” Management Science, vol. 13, no. 7 (March 1967), pp. 511–524.CrossRefGoogle Scholar