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The Cost Efficiency of UK Debt Management: A Recursive Modelling Approach

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Abstract

This paper presents an empirical analysis of the efficiency of the UK debt management authorities' (DMA) behaviour from a cost minimisation perspective over the period January 1985 to March 1995. During this period, the maturity structure of the government's bond portfolio was subject to frequent fine-tuning, aimed principally at lowering interest costs. The authors examine the efficiency of the DMA's behaviour from a cost minimisation perspective. Using a bi-variate version of the recursive modelling procedure applied to forecasting stock returns by Pesaran and Timmermann (1995, 2000), it is shown that bond returns are forecastable but that the predictive power of macroeconomic variables is time-dependent. The impact of adjusting the bond portfolio in response to these forecasts is simulated. The simulated average interest costs are lower than those resulting from the DMA's actual real-time behaviour. However, a substantial reduction in interest costs requires large monthly changes in the portfolio's maturity structure.

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  • Coe, P. & Pesaran, M.H. & Vahey, S.P., 2000. "The Cost Efficiency of UK Debt Management: A Recursive Modelling Approach," Cambridge Working Papers in Economics 0005, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:0005
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    1. F. A. Lutz, 1940. "The Structure of Interest Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 55(1), pages 36-63.
    2. Beaudry, Paul & Koop, Gary, 1993. "Do recessions permanently change output?," Journal of Monetary Economics, Elsevier, vol. 31(2), pages 149-163, April.
    3. Ryan Sullivan & Allan Timmermann & Halbert White, 1999. "Data‐Snooping, Technical Trading Rule Performance, and the Bootstrap," Journal of Finance, American Finance Association, vol. 54(5), pages 1647-1691, October.
    4. Aiyagari, S. Rao & McGrattan, Ellen R., 1998. "The optimum quantity of debt," Journal of Monetary Economics, Elsevier, vol. 42(3), pages 447-469, October.
    5. Bengt Holmstrom & Jean Tirole, 1998. "Private and Public Supply of Liquidity," Journal of Political Economy, University of Chicago Press, vol. 106(1), pages 1-40, February.
    6. Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-565, October.
    7. Barro, Robert J, 1979. "On the Determination of the Public Debt," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 940-971, October.
    8. Pesaran, M Hashem & Timmermann, Allan, 2000. "A Recursive Modelling Approach to Predicting UK Stock Returns," Economic Journal, Royal Economic Society, vol. 110(460), pages 159-191, January.
    9. Pesaran, M. Hashem & Potter, Simon M., 1997. "A floor and ceiling model of US output," Journal of Economic Dynamics and Control, Elsevier, vol. 21(4-5), pages 661-695, May.
    10. Calvo, Guillermo A & Guidotti, Pablo E, 1992. "Optimal Maturity of Nominal Government Debt: An Infinite-Horizon Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(4), pages 895-919, November.
    11. Pesaran, M. Hashem & Timmermann, Allan G., 1994. "A generalization of the non-parametric Henriksson-Merton test of market timing," Economics Letters, Elsevier, vol. 44(1-2), pages 1-7.
    12. Bohn, Henning, 1990. "Tax Smoothing with Financial Instruments," American Economic Review, American Economic Association, vol. 80(5), pages 1217-1230, December.
    13. Bohn, Henning, 1988. "Why do we have nominal government debt?," Journal of Monetary Economics, Elsevier, vol. 21(1), pages 127-140, January.
    14. Wallace, Neil, 1981. "A Modigliani-Miller Theorem for Open-Market Operations," American Economic Review, American Economic Association, vol. 71(3), pages 267-274, June.
    15. Missale, Alessandro, 1999. "Public Debt Management," OUP Catalogue, Oxford University Press, number 9780198290858.
    16. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    17. Pesaran, M Hashem & Timmermann, Allan, 1995. "Predictability of Stock Returns: Robustness and Economic Significance," Journal of Finance, American Finance Association, vol. 50(4), pages 1201-1228, September.
    18. Boothe, Paul & Reid, Bradford, 1992. "Debt Management Objectives for a Small Open Economy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 24(1), pages 43-60, February.
    19. Robert J. Barro, 1995. "Optimal Debt Management," NBER Working Papers 5327, National Bureau of Economic Research, Inc.
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    1. Silvia Marchesi, 2006. "Buybacks of domestic debt in public debt management," The European Journal of Finance, Taylor & Francis Journals, vol. 12(5), pages 379-400.
    2. Coe, P. & Vahey S.P. & Wakerly, E.C., 2000. "The Transparency and Accountability of UK Debt Management: A Proposal," Cambridge Working Papers in Economics 0028, Faculty of Economics, University of Cambridge.

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    More about this item

    Keywords

    Government debt management; Cost minimisation; Recursive modelling;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt

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