IDEAS home Printed from https://ideas.repec.org/p/awe/wpaper/339.html
   My bibliography  Save this paper

The Reserve Bank of India's Reaction to Exchange Rate Variation: A timevarying parametric approach

Author

Listed:
  • A Vadivel
  • M Ramachandran

    (Institute of Economic Growth, Delhi)

Abstract

This paper explores the intervention of the Reserve Bank of India in foreign exchange markets. Since the exchange rate has been fluctuating because of external capital flows, the RBI had to intervene to bring stability in the foreign exchange market. The empirical examination of this issue is conducted by using the flexible least square (FLS) method. The study used four different variants of the reaction function to know the time-varying nature of the variables. The results revealed an asymmetry in the RBI's intervention in exchange rate and reserve accumulation—it has frequently penalised the rupee's appreciation and defended its depreciation.

Suggested Citation

  • A Vadivel & M Ramachandran, 2014. "The Reserve Bank of India's Reaction to Exchange Rate Variation: A timevarying parametric approach," IEG Working Papers 339, Institute of Economic Growth.
    • Handle: RePEc:awe:wpaper:339
    as

    Download full text from publisher

    File URL: https://iegindia.org/upload/publication/Workpap/wp339.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kalaba, Robert & Tesfatsion, Leigh, 1988. "The flexible least squares approach to time-varying linear regression," Journal of Economic Dynamics and Control, Elsevier, vol. 12(1), pages 43-48, March.
    2. Ramachandran, M. & Srinivasan, Naveen, 2007. "Asymmetric exchange rate intervention and international reserve accumulation in India," Economics Letters, Elsevier, vol. 94(2), pages 259-265, February.
    3. Michael Athans, 1974. "The Importance of Kalman Filtering Methods for Economic Systems," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 1, pages 49-64, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. O. Olawale Awe & A. Adedayo Adepoju, 2018. "Modified Recursive Bayesian Algorithm For Estimating Time-Varying Parameters In Dynamic Linear Models," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 239-258, June.
    2. Naveen Srinivasan & Vidya Mahambare & M. Ramachandran, 2015. "Capital Controls, Exchange Market Intervention and International Reserve Accumulation in India," Working Papers 2015-103, Madras School of Economics,Chennai,India.
    3. Olawale Awe O. & Adedayo Adepoju A., 2018. "Modified Recursive Bayesian Algorithm For Estimating Time-Varying Parameters In Dynamic Linear Models," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 258-293, June.
    4. Ashis Kumar Pradhan & Gourishankar S Hiremath, 2020. "Do external commercial borrowings and financial development affect exports?," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1796269-179, January.
    5. M, Ramachandran & Maheswari, D., 2022. "Asymmetry in forex market intervention: Does it reflect fear of reserve inadequacy?," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    6. Zsolt Darvas & Balẳ Varga, 2014. "Inflation persistence in central and eastern European countries," Applied Economics, Taylor & Francis Journals, vol. 46(13), pages 1437-1448, May.
    7. Pontines, Victor & Siregar, Reza Y., 2012. "Fear of appreciation in East and Southeast Asia: The role of the Chinese renminbi," Journal of Asian Economics, Elsevier, vol. 23(4), pages 324-334.
    8. Ila Patnaik & Ajay Shah, 2012. "Asia Confronts the Impossible Trinity," Chapters, in: Masahiro Kawai & Peter J. Morgan & Shinji Takagi (ed.), Monetary and Currency Policy Management in Asia, chapter 7, Edward Elgar Publishing.
    9. He, Ling T., 2001. "Time variation paths of international transmission of stock volatility -- US vs. Hong Kong and South Korea," Global Finance Journal, Elsevier, vol. 12(1), pages 79-93.
    10. Francisco Venegas & Enrique de Alba, 1995. "An Economist´s guide to the Kalman filter," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 10(2), pages 123-145.
    11. Ashwin Madhou, 2015. "Demystifying output gap pressure through surveys in a monetary analysis setting: an experimental perspective," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39, Bank for International Settlements.
    12. Pusse, Leo, 1998. "Export als Bestimmungsfaktor der Beschäftigung : ökonomische Analysen auf makroökonomischer Ebene (Export as a determinant of employment : econometric analyses at macroeconomic level)," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 31(1), pages 108-122.
    13. Kalaba, Robert & Tesfatsion, Leigh, 1996. "A multicriteria approach to model specification and estimation," Computational Statistics & Data Analysis, Elsevier, vol. 21(2), pages 193-214, February.
    14. Tucci, Marco P., 1995. "Time-varying parameters: a critical introduction," Structural Change and Economic Dynamics, Elsevier, vol. 6(2), pages 237-260, June.
    15. David E. Runkle & Peter C. Young, 1989. "Recursive estimation and modelling of nonstationary and nonlinear time series," Discussion Paper / Institute for Empirical Macroeconomics 7, Federal Reserve Bank of Minneapolis.
    16. Schlicht, Ekkehart & Ludsteck, Johannes, 2006. "Variance Estimation in a Random Coefficients Model," Discussion Papers in Economics 904, University of Munich, Department of Economics.
    17. Zsolt Darvas & Balázs Varga, 2012. "Uncovering Time-Varying Parameters with the Kalman-Filter and the Flexible Least Squares: a Monte Carlo Study," Working Papers 1204, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    18. Linkon Mondal, 2012. "Foreign Exchange Market Intervention and Exchange Rate Volatility: A Bivariate GARCH Model for India," The IUP Journal of Bank Management, IUP Publications, vol. 0(4), pages 29-40, November.
    19. Josipa VIŠIC & Blanka ŠKRABIC, 2010. "Determinants of Incoming Cross-Border M&A: Evidence from European Transition Economies," EcoMod2010 259600168, EcoMod.
    20. K.P., Prabheesh, 2013. "Optimum international reserves and sovereign risk: Evidence from India," Journal of Asian Economics, Elsevier, vol. 28(C), pages 76-86.

    More about this item

    Keywords

    Exchange rate; foreign exchange reserve; time-varying;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:awe:wpaper:339. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/iegggin.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.