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Does Exchange Rate Intervention Trigger Volatility

Author

Listed:
  • A Vadivel
  • M Ramachandran

    (Institute of Economic Growth, New Delhi.)

Abstract

This study aims at investigating two important issues concerning the exchange rate intervention policy of the Reserve Bank of India: (1) whether there is any asymmetry in intervention; and (2) whether intervention triggers volatility. The empirical evidence derived from a class of GARCH and A-PARCH models indicate the latter one fits the data much better than the conventional GARCH models. Further, intervention seems to have increased exchange rate volatility; the official sale of foreign exchange have had a relatively larger impact on exchange volatility than official purchase. This is consistent with the argument that secret intervention creates ambiguity in the market; hence, it results in larger volatility of exchange rate.

Suggested Citation

  • A Vadivel & M Ramachandran, 2013. "Does Exchange Rate Intervention Trigger Volatility," IEG Working Papers 328, Institute of Economic Growth.
    • Handle: RePEc:awe:wpaper:328
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    References listed on IDEAS

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    1. Schwert, G William, 1990. "Stock Volatility and the Crash of '87," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 77-102.
    2. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June.
    3. Michael P. Dooley & David Folkerts-Landau & Peter M. Garber, 2005. "An essay on the revived Bretton Woods system," Proceedings, Federal Reserve Bank of San Francisco, issue Feb.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. Hsieh, David A., 1988. "The statistical properties of daily foreign exchange rates: 1974-1983," Journal of International Economics, Elsevier, vol. 24(1-2), pages 129-145, February.
    6. 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.
    7. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    8. Karanasos, Menelaos & Kim, Jinki, 2006. "A re-examination of the asymmetric power ARCH model," Journal of Empirical Finance, Elsevier, vol. 13(1), pages 113-128, January.
    9. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    10. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. Pami Dua & Ritu Suri, 2019. "Interlinkages Between USD–INR, EUR–INR, GBP–INR and JPY–INR Exchange Rate Markets and the Impact of RBI Intervention," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1_suppl), pages 102-136, April.

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    More about this item

    Keywords

    Exchange rate; foreign exchange reserve; ARCH; GARCH; A-PARCH;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • 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
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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