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Determinants of Yields on Government Securities in India

In: Macroeconometric Methods

Author

Listed:
  • Pami Dua

    (University of Delhi)

  • Nishita Raje

    (Reserve Bank of India)

Abstract

This article examines the determinants of government yields in India using weekly data from April 2001 through June 2012. The analysis covers treasury bills with residual maturity of 15–91 days and government securities of residual maturity 1, 5 and 10 years. 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 show that the relative importance of the determinants varies across the maturity spectrum. The normalised generalised variance decompositions suggest that the policy rate and the rate of growth of high-powered money are more important in explaining the proportion of variation in shorter-term interest rates than the longer-term rates. The weight of the forward premium also diminishes as we move towards higher maturity interest rates. The inflation rate becomes relatively less important in explaining variations in the yields as the maturity of the security increases. 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 in this article due to the high frequency of data employed here.

Suggested Citation

  • Pami Dua & Nishita Raje, 2023. "Determinants of Yields on Government Securities in India," Springer Books, in: Pami Dua (ed.), Macroeconometric Methods, chapter 0, pages 73-96, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-7592-9_4
    DOI: 10.1007/978-981-19-7592-9_4
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    1. is not listed on IDEAS
    2. Moumita Paul & Kalluru Siva Reddy, 2022. "US QE and the Indian Bond Market," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 137-157, March.
    3. Ajit Dayanandan & Jai Chander & N. R. V. V. M. K. Rajendra Kumar, 2023. "Size and liquidity of government securities in India," Indian Economic Review, Springer, vol. 58(1), pages 71-90, June.
    4. Saksham Sood & Bichitrananda Seth & Samir Ranjan Behera & Deba Prasad Rath, 2024. "Asymmetric Impact of Monetary Policy on 10-Year G-Sec Yield in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 22(3), pages 615-629, September.
    5. Shivam Sehgal & Jaspal Singh, 2025. "Impact of Global and Domestic Factors on Indian Government Bond Yields," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 32(2), pages 465-488, June.
    6. Pami Dua & Hema Kapur, 2017. "Macro Stress Testing of Indian Bank Groups," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 11(4), pages 375-403, November.

    More about this item

    Keywords

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    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects

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