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An Analytical Model of Interest Rate Differentials and Different Default Recoveries

Published online by Cambridge University Press:  19 October 2009

Jess B. Yawitz
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Extract

In this paper we have extended the Bierman-Hass model to include the effect of a second parameter, the terms of settlement in the event of default. The addition of this second factor was found to not alter the independence between a bond's risk differential and its maturity. Our analysis of the required risk differential for various borrower credit characteristics demonstrates the tradeoff between p and γ. Throughout, we have assumed the loan size does not affect p or γ.

Information

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 12 , Issue 3 , September 1977 , pp. 481 - 490
Copyright
Copyright © School of Business Administration, University of Washington 1977

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References

REFERENCES

[1]Bierman, Harold Jr., and Hass, Jerome E.. “An Analytic Model of Bond Risk Differentials.” Journal of Financial and Quantitative Analysis, (December 1975), pp. 757–773.CrossRefGoogle Scholar
[2]Cheng, Pao Lun. “Optimal Bond Portfolio Selection.” Management Science (July 1962), pp. 490–499.CrossRefGoogle Scholar
[3]Crane, Dwight B. “Stochastic Programming Model for Commercial Bank Bond Portfolio Management.” Journal of Financial and Quantitative Analysis (June 1971), pp. 955–976.Google Scholar
[4]Fisher, Lawrence. “Determinants of Risk Premiums on Corporate Bonds.” The Journal of Political Economy (June 1959), pp. 217–237CrossRefGoogle Scholar
[5]Fisher, Lawrence, and Weil, Roman. “Coping with the Risk of Interest Rate Fluctuations: Returns of Bondholders from Naive and Optimal Strategies.” Journal of Business (October 1971), pp. 408–431.CrossRefGoogle Scholar
[6]Grove, Myron A. “On ‘Duration’ and the Optimal Maturity Structure of the Balance Sheet.” The Bell Journal (Autumn 1974), pp. 696–709.Google Scholar
[7]Hopewell, Michael, and Kaufman, George. “Bond Price Volatility and Term to Maturity: A Generalized Respecification.” A.E.R. (September 1973), pp. 749–753.Google Scholar
[8]Macaulay, Frederick R.Some Theoretical Problems Suggested by the Movement of Interest Rates, Bond Yields and Stock Prices in the U.S. since 1856. New York (1938).Google Scholar
[9]Samuelson, Paul A. “The Effects of Interest Rate Increases on the Banking System.” A.E.R. (March 1945), pp. 16–27.Google Scholar
[10]Silver, J. B. “An Alternative to the Yield Spread as a Measure of Risk.” The Journal of Finance (September 1973), pp. 933–955.CrossRefGoogle Scholar
[11]Watson, Ronald D. “Tests of Maturity Structures of Commercial Bank Government Securities Portfolios: A Simulation Approach.” Journal of Bank Research (Spring 1972), pp. 34–46.Google Scholar
[12]Wolf, Charles R. “A Model for Selecting Commercial Bank Government Securities Portfolios.” The Review of Economics and Statistics (February 1969), pp. 40–52.CrossRefGoogle Scholar
[13]Yawitz, Jess B. “The Relative Importance of Duration and Yield Volatility on Bond Price Volatility.” Journal of Money, Credit, and Banking (February 1977), pp. 97–102.CrossRefGoogle Scholar
[14]Yawitz, Jess B.; Hempel, George H.; and Marshall, William J.. “A Risk-Return Approach to the Selection of Optimal Government Bond Portfolios.” Financial Management (Autumn 1976), pp. 36–47.Google Scholar
[15]Yawitz, Jess B. “The Use of Average Maturity as a Risk Proxy in Investment Portfolios.” Journal of Finance (May 1975), pp. 325–333.CrossRefGoogle Scholar
[16]Yawitz, Jess B. “Risk Premia on Municipal Bonds.” Forthcoming. Journal of Financial and Quantitative Analysis.Google Scholar