Abstract

This paper investigates the long-term determinants of Indian government bonds’ (IGB) nominal yields. It examines whether John Maynard Keynes’s supposition that short-term interest rates are the key driver of long-term government bond yields holds over the long-run horizon, after controlling for various key economic factors such as inflationary pressure and measures of economic activity. It also appraises whether the government finance variable — the ratio of government debt to nominal income — has an adverse effect on government bond yields over a long-run horizon. The models estimated here show that in India, short-term interest rates are the key driver of long-term government bond yields over the long run. However, the ratio of government debt and nominal income does not have any discernible adverse effect on yields over a long-run horizon. These findings will help policymakers in India (and elsewhere) to use information on the current trend in short-term interest rates, the federal fiscal balance, and other key macro variables to form their long-term outlook on IGB yields, and to understand the implications of the government’s fiscal stance on the government bond market.

Highlights

  • This paper examines whether Keynes’s conjecture that short-term interest rates are the key driver of long-term government bond yields holds in India over the long term after controlling for various key economic factors, such as inflationary pressure and measures of economic activity

  • It appraises if public finance variables, such as the ratio of government debt to nominal income, have an adverse effect on government bond yields in India

  • Akram and Das (2015a and 2105b) report that Keynes’s conjectures hold in India for the short-run horizon. They find that government finance variables do not appear to exert upward pressure on Indian government bond yields

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Summary

SECTION I: INTRODUCTION

John Maynard Keynes (1930) contends that a central bank’s monetary policy is the most important driver of long-term interest rates. The section introduces the behavioral equations, time-series data, and econometric methods to be used in examining the importance of short-term interest rates, government finance variables, and other key macroeconomic variables in determining the nominal yields on Indian government bonds over the long-run horizon. Equation [2.7] equation [2.8] equation [2.9] equation [2.10] equation [2.11] equation [2.12] These equations are estimated using quarterly data for bond yields of government securities for various tenors with short-term interest rates, the rate of inflation, the growth rate, and the government finance variable as explanatory variables. The null hypothesis of no cointegration is rejected whenever the F-statistics value is higher than the upper bounds value This analysis confirms the presence of a long-run relationship among long-term government bond yields, short-term interest rates, the rate of inflation, and the growth in industrial production. Upper bounds values are 6.36, 5.52, and 4.14 for 1 percent, 5 percent, and 10 percent levels of significance, respectively

48 Observations
SECTION V: POLICY IMPLICATIONS AND CONCLUSIONS
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