IDEAS home Printed from https://ideas.repec.org/p/jet/dpaper/dpaper353.html
   My bibliography  Save this paper

Central bank intervention and exchange rate behaviour : empirical evidence for India

Author

Abstract

This paper examines the causal relationship between central bank intervention and exchange returns in India. Using monthly data from December 1997 to December 2011, the empirical results derived from the CCF approach of Cheung and Ng (1996) suggest that there is causality-in-variance from exchange rate returns to central bank intervention, but not vice versa. These findings are robust in the sense that they hold in cases where the returns were measured from either the spot rate or the forward rate. Therefore, the results of this paper suggest that the Indian central bank has intervened in the foreign exchange market to respond to exchange rate volatility, although the volatility has not been influenced by central bank intervention in the form of net purchases of foreign currency in the market.

Suggested Citation

  • Inoue, Takeshi, 2012. "Central bank intervention and exchange rate behaviour : empirical evidence for India," IDE Discussion Papers 353, Institute of Developing Economies, Japan External Trade Organization(JETRO).
  • Handle: RePEc:jet:dpaper:dpaper353
    as

    Download full text from publisher

    File URL: https://ir.ide.go.jp/?action=repository_action_common_download&item_id=37821&item_no=1&attribute_id=22&file_no=1
    File Function: First version, 2012
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Goyal, Ashima & Arora, Sanchit, 2012. "The Indian exchange rate and Central Bank action: An EGARCH analysis," Journal of Asian Economics, Elsevier, vol. 23(1), pages 60-72.
    2. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
    3. Dominguez, Kathryn M & Frankel, Jeffrey A, 1993. "Does Foreign-Exchange Intervention Matter? The Portfolio Effect," American Economic Review, American Economic Association, vol. 83(5), pages 1356-1369, December.
    4. Mohammad Afzal, 2010. "Exchange Rate and Reserves in Asian Countries: Causality Test," Global Economic Review, Taylor & Francis Journals, vol. 39(2), pages 215-223.
    5. Hong, Yongmiao, 2001. "A test for volatility spillover with application to exchange rates," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 183-224, July.
    6. Hung, Juann H, 1997. "Intervention strategies and exchange rate volatility: a noise trading perspective," Journal of International Money and Finance, Elsevier, vol. 16(5), pages 779-793, September.
    7. Harendra Behera & Vathsala Narasimhan & K.N. Murty, 2008. "Relationship between Exchange Rate Volatility and Central Bank Intervention," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 9(1), pages 69-84, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ghosh, Sunandan & Kundu, Srikanta, 2019. "Central Bank Intervention in Foreign Exchange Market under Managed Float: A Three Regime Threshold VAR Analysis of Indian Rupee-US Dollar Exchange Rate," MPRA Paper 93466, University Library of Munich, Germany.

    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. Abdul Rishad & Sanjeev Gupta & Akhil Sharma, 2021. "Official Intervention and Exchange Rate Determination: Evidence from India," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 13(3), pages 357-379, September.
    2. Smita Roy Trivedi & P. G. Apte, 2016. "Central Bank Intervention in USD/INR Market: Estimating Its Reaction Function and Impact on Volatility," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 23(3), pages 263-279, September.
    3. Smita Roy Trivedi, 2020. "The Moses effect: can central banks really guide foreign exchange markets?," Empirical Economics, Springer, vol. 58(6), pages 2837-2865, June.
    4. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    5. Guochang Wang & Wai Keung Li & Ke Zhu, 2018. "New HSIC-based tests for independence between two stationary multivariate time series," Papers 1804.09866, arXiv.org.
    6. Martin Evans and Richard K. Lyons, 2002. "Are Different-Currency Assets Imperfect Substitutes?," Working Papers gueconwpa~02-02-12, Georgetown University, Department of Economics.
    7. Dilip Kumar & S. Maheswaran, 2013. "Return, Volatility and Risk Spillover from Oil Prices and the US Dollar Exchange Rate to the Indian Industrial Sectors," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(1), pages 61-91, February.
    8. Soylu, Pınar Kaya & Güloğlu, Bülent, 2019. "Financial contagion and flight to quality between emerging markets and U.S. bond market," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    9. Michael D. Bordo & Owen F. Humpage & Anna J. Schwartz, 2016. "On the Evolution of US Foreign-Exchange-Market Intervention: Thesis, Theory, and Institutions," NBER Chapters, in: Strained Relations: US Foreign-Exchange Operations and Monetary Policy in the Twentieth Century, pages 1-26, National Bureau of Economic Research, Inc.
    10. K.C. Chen & Guangzhong Li & Lifan Wu, 2010. "Price Discovery for Segmented US-Listed Chinese Stocks: Location or Market Quality?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(1-2), pages 242-269.
    11. Wang, Gang-Jin & Xie, Chi & Jiang, Zhi-Qiang & Stanley, H. Eugene, 2016. "Extreme risk spillover effects in world gold markets and the global financial crisis," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 55-77.
    12. Bathia, Deven & Demirer, Riza & Gupta, Rangan & Kotzé, Kevin, 2021. "Unemployment fluctuations and currency returns in the United Kingdom: Evidence from over one and a half century of data," Journal of Multinational Financial Management, Elsevier, vol. 61(C).
    13. Michael Frenkel & Christian Pierdzioch & Georg Stadtmann, 2002. "Devisenmarktoperationen und Informationspolitik der Europäischen Zentralbank," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 3(1), pages 49-68, February.
    14. Capraro Rodríguez Santiago & Perrotini Hernández Ignacio, 2012. "Intervenciones cambiarias esterilizadas, teoría y evidencia:el caso de México," Contaduría y Administración, Accounting and Management, vol. 57(2), pages 11-44, abril-jun.
    15. Theologos Pantelidis, 2012. "Testing for Granger causality in a system of more than two variables," Discussion Paper Series 2012_02, Department of Economics, University of Macedonia, revised Jan 2012.
    16. Gormus, N. Alper & Soytas, Ugur & Diltz, J. David, 2014. "Volatility transmission between energy-related asset classes," Global Finance Journal, Elsevier, vol. 25(3), pages 246-259.
    17. Erdenebat Bataa & Andrew Vivian & Mark Wohar, 2019. "Changes in the relationship between short‐term interest rate, inflation and growth: evidence from the UK, 1820–2014," Bulletin of Economic Research, Wiley Blackwell, vol. 71(4), pages 616-640, October.
    18. Nazlioglu, Saban & Gupta, Rangan & Gormus, Alper & Soytas, Ugur, 2020. "Price and volatility linkages between international REITs and oil markets," Energy Economics, Elsevier, vol. 88(C).
    19. Kuruppuarachchi, Duminda & Premachandra, I.M., 2016. "Information spillover dynamics of the energy futures market sector: A novel common factor approach," Energy Economics, Elsevier, vol. 57(C), pages 277-294.
    20. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "On cross-currency transmissions between US dollar and euro LIBOR-OIS spreads," Research in International Business and Finance, Elsevier, vol. 30(C), pages 83-90.

    More about this item

    Keywords

    India; Foreign exchange; Exchange control; Central bank; Causality-in-variance; Exchange rate; Intervention;
    All these keywords.

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F31 - International Economics - - International Finance - - - Foreign Exchange

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:jet:dpaper:dpaper353. 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: Michitaka Imamitsu (email available below). General contact details of provider: https://edirc.repec.org/data/idegvjp.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.