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Long Memory Volatility, Central Bank Intervention and Uncovered Interest Rate Parity in the 1920s Exchange Markets

Author

Listed:
  • Richard T. Baillie

    (Michigan State University)

  • Young Wook Han

    (Hallym University)

Abstract

The 1920s exchange markets represent one of the earliest recorded periods of freely floating exchange rates and central bank interventions. This paper uses a set of daily exchange rate data in the 1920s for three currencies (French Franc, Belgium Franc and Italy Lira) against the British Pound, and finds the exchange rate returns have the widespread long memory volatility property that is consistent with the post Bretton Woods era. And, this paper quantifies the duration of the effectiveness of the heavy intervention by the Bank of France on three exchange rates. The intervention is found to have direct effects on the French franc spot rate, but not on market volatility. There is also some evidence that the intervention had moderate influence on the deviation from the uncovered interest rate parity in the exchange markets by Granger causing the excess returns which may be associated with a time dependent risk premium.

Suggested Citation

  • Richard T. Baillie & Young Wook Han, 2019. "Long Memory Volatility, Central Bank Intervention and Uncovered Interest Rate Parity in the 1920s Exchange Markets," Korean Economic Review, Korean Economic Association, vol. 35, pages 183-203.
    • Handle: RePEc:kea:keappr:ker-20190101-35-1-07
    as

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    References listed on IDEAS

    as
    1. Vlaar, Peter J G & Palm, Franz C, 1993. "The Message in Weekly Exchange Rates in the European Monetary System: Mean Reversion, Conditional Heteroscedasticity, and Jumps," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 351-360, July.
    2. Tamim Bayoumi, 1990. "Saving-Investment Correlations: Immobile Capital, Government Policy, or Endogenous Behavior?," IMF Staff Papers, Palgrave Macmillan, vol. 37(2), pages 360-387, June.
    3. Michael D. Bordo & Barry Eichengreen & Jongwoo Kim, 1998. "Was There Really an Earlier Period of International Financial Integration Comparable to Today?," NBER Working Papers 6738, National Bureau of Economic Research, Inc.
    4. Baillie, Richard T. & Morana, Claudio, 2009. "Modelling long memory and structural breaks in conditional variances: An adaptive FIGARCH approach," Journal of Economic Dynamics and Control, Elsevier, vol. 33(8), pages 1577-1592, August.
    5. Phillips, Peter C B & McFarland, James W & McMahon, Patrick C, 1996. "Robust Tests of Forward Exchange Market Efficiency with Empirical Evidence from the 1920s," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(1), pages 1-22, Jan.-Feb..
    6. Hodrick, Robert J., 1989. "Risk, uncertainty, and exchange rates," Journal of Monetary Economics, Elsevier, vol. 23(3), pages 433-459, May.
    7. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    8. Menelaos Karanasos & Zacharias Psaradakis & Martin Sola, 2004. "On the Autocorrelation Properties of Long‐Memory GARCH Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(2), pages 265-282, March.
    9. Andersen, Torben G. & Bollerslev, Tim, 1997. "Intraday periodicity and volatility persistence in financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 115-158, June.
    10. Richard T. Baillie & Aydin A. Cecen & Young-Wook Han, 2000. "High Frequency Deutsche Mark-US Dollar Returns: FIGARCH Representations and Non Linearities," Multinational Finance Journal, Multinational Finance Journal, vol. 4(3-4), pages 247-267, September.
    11. Baillie, Richard T. & P. Osterberg, William, 1997. "Central bank intervention and risk in the forward market," Journal of International Economics, Elsevier, vol. 43(3-4), pages 483-497, November.
    12. Chang, Yuanchen & Taylor, Stephen J., 1998. "Intraday effects of foreign exchange intervention by the Bank of Japan1," Journal of International Money and Finance, Elsevier, vol. 17(1), pages 191-210, February.
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    More about this item

    Keywords

    The 1920s Exchange Markets; Long Memory Volatility; FIGARCH Model; Central Bank Intervention; Uncovered Interest Rate Parity (UIP);
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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