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

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  • 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
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    References listed on IDEAS

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    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.
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    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.

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