IDEAS home Printed from https://ideas.repec.org/a/icf/icfjbm/v11y2012i4p29-40.html
   My bibliography  Save this article

Foreign Exchange Market Intervention and Exchange Rate Volatility: A Bivariate GARCH Model for India

Author

Listed:
  • Linkon Mondal

Abstract

The present study attempts to investigate the effectiveness of the Reserve Bank of India’s (RBI) intervention policy in the foreign exchange market and tries to capture the volatility spillover between intervention and exchange rate. The evidence derived from the estimated model indicates that the RBI leans against the wind in response to appreciating and depreciating pressure on rupee; hence, there is no evidence of any asymmetry in intervention. Good news has significant negative impact on exchange rate as it tends to put pressure on exchange rate to appreciate. However, intervention operations reduce exchange rate volatility, whereas news seems to trigger exchange rate volatility. The significant coefficient with respect to volatility spillover shows the existence of volatility transmission from the RBI’s intervention to exchange rate and vice versa. The significant coefficient of the past volatility of intervention implies that the past volatility of intervention has a positive impact on present volatility of exchange rate. Similarly, the past volatility of exchange rate increases the present volatility of intervention. The volatility of the exchange rate seems to be more sensitive to its past shock than the past shock of intervention, and the volatility of intervention is more sensitive to the past volatility of exchange rate as compared to the past volatility of intervention.

Suggested Citation

  • 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.
  • Handle: RePEc:icf:icfjbm:v:11:y:2012:i:4:p:29-40
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Dominguez, Kathryn M., 1998. "Central bank intervention and exchange rate volatility1," Journal of International Money and Finance, Elsevier, vol. 17(1), pages 161-190, February.
    2. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    3. Gita Persand & Chris Brooks & Simon P. Burke, 2003. "Multivariate GARCH models: software choice and estimation issues," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 725-734.
    4. Diebold, Francis X & Nerlove, Marc, 1989. "The Dynamics of Exchange Rate Volatility: A Multivariate Latent Factor Arch Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(1), pages 1-21, Jan.-Mar..
    5. Fischer, Andreas M & Zurlinden, Mathias, 1999. "Exchange Rate Effects of Central Bank Interventions: An Analysis of Transaction Prices," Economic Journal, Royal Economic Society, vol. 109(458), pages 662-676, October.
    6. Ramachandran, M., 2006. "On the upsurge of foreign exchange reserves in India," Journal of Policy Modeling, Elsevier, vol. 28(7), pages 797-809, October.
    7. S. Wong & K. Chau & C. Yiu, 2007. "Volatility Transmission in the Real Estate Spot and Forward Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 35(3), pages 281-293, October.
    8. Geert J. Almekinders, 1995. "Foreign Exchange Intervention," Books, Edward Elgar Publishing, number 71.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Baig, Mirza Allim & Narasimhan, V. & Ramachandran, M., 2003. "Exchange market pressure and the Reserve Bank of India's intervention activity," Journal of Policy Modeling, Elsevier, vol. 25(8), pages 727-748, November.
    11. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    12. Christopher J. Neely, 2005. "An analysis of recent studies of the effect of foreign exchange intervention," Review, Federal Reserve Bank of St. Louis, vol. 87(Nov), pages 685-718.
    13. Hsieh, David A, 1989. "Modeling Heteroscedasticity in Daily Foreign-Exchange Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(3), pages 307-317, July.
    14. 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.
    15. 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.
    16. Michael W. Klein & Eric Rosengren, 1991. "Foreign exchange intervention as a signal of monetary policy," New England Economic Review, Federal Reserve Bank of Boston, issue May, pages 39-50.
    17. Saacke, Peter, 2002. "Technical analysis and the effectiveness of central bank intervention," Journal of International Money and Finance, Elsevier, vol. 21(4), pages 459-479, August.
    18. Kearney, Colm & Patton, Andrew J, 2000. "Multivariate GARCH Modeling of Exchange Rate Volatility Transmission in the European Monetary System," The Financial Review, Eastern Finance Association, vol. 35(1), pages 29-48, February.
    19. Kathryn M. Dominguez, 1993. "Does Central Bank Intervention Increase the Volatility of Foreign Exchange Rates?," NBER Working Papers 4532, National Bureau of Economic Research, Inc.
    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. Zabiulla, 2015. "Volatility Clustering and Leverage Effect in the Indian Forex Market," Global Business Review, International Management Institute, vol. 16(5), pages 785-799, October.

    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. Linkon Mondal, 2014. "Volatility spillover between the RBI’s intervention and exchange rate," International Economics and Economic Policy, Springer, vol. 11(4), pages 549-560, December.
    2. Sébastien Laurent & Luc Bauwens & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109.
    3. Paolo Vitale, 2007. "An assessment of some open issues in the analysis of foreign exchange intervention," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(2), pages 155-170.
    4. Vitale, Paolo, 2006. "A Critical Appraisal of Recent Developments in the Analysis of Foreign Exchange Intervention," CEPR Discussion Papers 5729, C.E.P.R. Discussion Papers.
    5. 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.
    6. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Volatility Forecasting," PIER Working Paper Archive 05-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    7. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    8. Palandri, Alessandro, 2009. "Sequential conditional correlations: Inference and evaluation," Journal of Econometrics, Elsevier, vol. 153(2), pages 122-132, December.
    9. Dominguez, Kathryn M., 1998. "Central bank intervention and exchange rate volatility1," Journal of International Money and Finance, Elsevier, vol. 17(1), pages 161-190, February.
    10. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    11. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    12. Richard T. Baillie & William P. Osterberg, 1998. "Central bank intervention and overnight uncovered interest rate parity," Working Papers (Old Series) 9823, Federal Reserve Bank of Cleveland.
    13. Melvin, Michael & Menkhoff, Lukas & Schmeling, Maik, 2009. "Exchange rate management in emerging markets: Intervention via an electronic limit order book," Journal of International Economics, Elsevier, vol. 79(1), pages 54-63, September.
    14. Pelletier, Denis, 2006. "Regime switching for dynamic correlations," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 445-473.
    15. Kim, Donggyu & Fan, Jianqing, 2019. "Factor GARCH-Itô models for high-frequency data with application to large volatility matrix prediction," Journal of Econometrics, Elsevier, vol. 208(2), pages 395-417.
    16. Lucía Arango-Lozano & Lukas Menkhoff & Daniela Rodríguez-Novoa & Mauricio Villamizar-Villegas, 2020. "The Effectiveness of FX Interventions: A Meta-Analysis," Borradores de Economia 1132, Banco de la Republica de Colombia.
    17. Ewing, Bradley T. & Malik, Farooq, 2005. "Re-examining the asymmetric predictability of conditional variances: The role of sudden changes in variance," Journal of Banking & Finance, Elsevier, vol. 29(10), pages 2655-2673, October.
    18. Brandner, Peter & Grech, Harald & Stix, Helmut, 2006. "The effectiveness of central bank intervention in the EMS: The post 1993 experience," Journal of International Money and Finance, Elsevier, vol. 25(4), pages 580-597, June.
    19. Kin-Yip Ho & Albert K Tsui, 2008. "Volatility Dynamics in Foreign Exchange Rates : Further Evidence from the Malaysian Ringgit and Singapore Dollar," Finance Working Papers 22571, East Asian Bureau of Economic Research.
    20. Ewing, Bradley T. & Malik, Farooq & Ozfidan, Ozkan, 2002. "Volatility transmission in the oil and natural gas markets," Energy Economics, Elsevier, vol. 24(6), pages 525-538, November.

    More about this item

    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:icf:icfjbm:v:11:y:2012:i:4:p:29-40. 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: G R K Murty (email available below). General contact details of provider: .

    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.