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Determinants of Weekly Yields on Government Securities in India

Author

Listed:
  • Pami Dua

    (Department of Economics, Delhi School of Economics, Delhi, India)

  • Nishita Raje

    (Reserve Bank of India)

Abstract

This paper examines the determinants of the Government yields in India using weekly data from April 2001 through March 2009. The analysis covers Treasury Bills with residual maturity of 15-91 days and Government securities of residual maturity one, five and ten years respectively. The empirical estimates show that a long-run relationship exists between each of these interest rates and the policy rate, rate of growth of money supply, inflation, interest rate spread, foreign interest rate and forward premium. At the same time, the empirical results also show that the relative importance of the determinants varies across the maturity spectrum. The normalized generalized variance decompositions suggest that the policy rate and the rate of growth of high powered money are less important in explaining the proportion of variation in longer term interest rates. The weight of the forward premium also diminishes as we move towards higher maturity interest rates. The inflation rate is also relatively less important in explaining variations in the 10-year rate. The yield spread, on the other hand, is more important in explaining the longer term rates. The results also show that a large proportion of the variation in the rates on the 5-year and 10-year government securities is attributed to the interest rate itself suggesting that the unexplained variation may be a result of cyclical factors that are relatively more important for longer term rates but are not captured by the yield spread and are omitted from the estimations due to the high frequency of data employed.

Suggested Citation

  • Pami Dua & Nishita Raje, 2010. "Determinants of Weekly Yields on Government Securities in India," Working papers 187, Centre for Development Economics, Delhi School of Economics.
  • Handle: RePEc:cde:cdewps:187
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    References listed on IDEAS

    as
    1. Frederic S. Mishkin, 1989. "A Multi-Country Study of the Information in the Term Structure about Future Inflation," NBER Working Papers 3125, National Bureau of Economic Research, Inc.
    2. Geert Bekaert & Seonghoon Cho & Antonio Moreno, 2010. "New Keynesian Macroeconomics and the Term Structure," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(1), pages 33-62, February.
    3. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
    4. repec:bla:jfinan:v:44:y:1989:i:2:p:283-305 is not listed on IDEAS
    5. Alan S. Blinder, 2008. "Talking about Monetary Policy: The Virtues (and Vices?) of Central Bank Communication," Working Papers 1048, Princeton University, Department of Economics, Center for Economic Policy Studies..
    6. Cochrane, John H, 1989. "The Return of the Liquidity Effect: A Study of the Short-run Relation between Money Growth and Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(1), pages 75-83, January.
    7. Alan S. Blinder, 2008. "Talking about Monetary Policy: The Virtues (and Vices?) of Central Bank Communication," Working Papers 1048, Princeton University, Department of Economics, Center for Economic Policy Studies..
    8. Frederic S. Mishkin, 1990. "The Information in the Longer Maturity Term Structure about Future Inflation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(3), pages 815-828.
    9. John Y. Campbell & Robert J. Shiller, 1991. "Yield Spreads and Interest Rate Movements: A Bird's Eye View," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 495-514.
    10. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    11. GlennD. Rudebusch & Tao Wu, 2008. "A Macro-Finance Model of the Term Structure, Monetary Policy and the Economy," Economic Journal, Royal Economic Society, vol. 118(530), pages 906-926, July.
    12. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    13. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    14. Dua, Pami & Pandit, B. L., 2002. "Interest rate determination in India: domestic and external factors," Journal of Policy Modeling, Elsevier, vol. 24(9), pages 853-875, December.
    15. Nicholas Sarantis & Sharon X. Lin, 1999. "The Role of Financial Spreads in Macroeconomic Forecasting: Evidence for the UK," Manchester School, University of Manchester, vol. 67(1), pages 89-110, January.
    16. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    17. D.M. Nachane & Nishita Raje, 2007. "Financial Liberalisation and Monetary Policy," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 1(1), pages 47-83, March.
    18. Mr. Rajan Goyal & Mr. K. Kanagasabapathy, 2002. "Yield Spread as a Leading Indicator of Real Economic Activity: An Empirical Exercise on the Indian Economy," IMF Working Papers 2002/091, International Monetary Fund.
    19. Monika Piazzesi, 2005. "Bond Yields and the Federal Reserve," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 311-344, April.
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    More about this item

    Keywords

    interest rate determination; government yields; cointegration and generalized variance decompositions;
    All these keywords.

    JEL classification:

    • C - Mathematical and Quantitative Methods
    • E - Macroeconomics and Monetary Economics

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