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Exchange rate interest rate linkages in India: an empirical investigation

Author

Listed:
  • Shruti Shastri
  • Swati Shastri

Abstract

Purpose - The purpose of the paper is to examine the linkages between exchange rate and interest rate in India using quarterly data from Q1 of 1996 to Q4 of 2014. Design/methodology/approach - Stationarity properties of data are checked using the Augmented Dickey–Fuller (ADF), Dickey–Fuller test with GLS de-trending (DF-GLS) and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) tests and Perron’s unit root test with structural breaks. Johansen Juselius and Gregory Hansen tests are applied to assess cointegration, and block exogeneity test is used to detect causality among variables. Findings - The study finds long-run relationship among interest rate, rupee–dollar exchange rate, capital flows, intervention, inflation differential, money supply differentials, output differentials and trade-balance differentials. However, the interest rate does not explain movements in the exchange rate, directly and indirectly, via capital flows. Intervention by the Central Banks to stabilize exchange rate does not have implications for movements in interest rate. Research limitations/implications - The study finds capital flows to be insensitive with respect to interest rates and hence thwarts International Monetary Fund ’s (IMF) claim of using interest rates as a tool to stabilize exchange rate. The much-debated conflict between exchange-rate stabilization and control over interest rates also does not hold up to the empirical reality of India. Originality/value - The study augments the existing literature by taking into account the problem of structural break in the relationship between interest rate and exchange rate. Three measures of interest rate are used to assess the robustness of results adding to their credibility compared to previous studies.

Suggested Citation

  • Shruti Shastri & Swati Shastri, 2016. "Exchange rate interest rate linkages in India: an empirical investigation," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 8(4), pages 443-457, November.
    • Handle: RePEc:eme:jfeppp:jfep-06-2015-0038
    DOI: 10.1108/JFEP-06-2015-0038
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    Citations

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    Cited by:

    1. Sushil Kumar Rai & Akhilesh Kumar Sharma, 2023. "Forecasting Exchange Rate Volatility In India Under Univariate And Multivariate Analysis," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 26(1), pages 175-190, March.
    2. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    3. Huseyin Karamelikli & Mohammad Sharif Karimi, 2022. "Asymmetric relationship between interest rates and exchange rates: Evidence from Turkey," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1269-1279, January.

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