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A structural break in the effects of Japanese foreign exchange intervention on yen/dollar exchange rate volatility

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  • Eric Hillebrand
  • Gunther Schnabl

Abstract

While up to the late 1990s Japanese foreign exchange intervention was fully sterilized, Japanese monetary authorities left foreign exchange intervention unsterilized when Japan entered the liquidity trap in 1999. According to previous research on foreign exchange intervention, unsterilized intervention has a higher probability of success than sterilized intervention. Based on a GARCH framework and change point detection, we test for a structural break in the effectiveness of Japanese foreign exchange intervention. We find a changing impact of Japanese foreign exchange intervention on exchange rate volatility at the turn of the millennium when Japanese foreign exchange intervention started to remain unsterilized. JEL Classification: E58, F31, F33, G15
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Suggested Citation

  • Eric Hillebrand & Gunther Schnabl, 2008. "A structural break in the effects of Japanese foreign exchange intervention on yen/dollar exchange rate volatility," International Economics and Economic Policy, Springer, vol. 5(4), pages 389-401, December.
  • Handle: RePEc:kap:iecepo:v:5:y:2008:i:4:p:389-401
    DOI: 10.1007/s10368-008-0121-0
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    Cited by:

    1. Hillebrand, Eric & Schnabl, Gunther & Ulu, Yasemin, 2009. "Japanese foreign exchange intervention and the yen-to-dollar exchange rate: A simultaneous equations approach using realized volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 490-505, July.
    2. Huang, Alex YiHou & Peng, Sheng-Pen & Li, Fangjhy & Ke, Ching-Jie, 2011. "Volatility forecasting of exchange rate by quantile regression," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 591-606, October.
    3. Gunther Schnabl & Andreas Hoffmann, 2008. "Monetary Policy, Vagabonding Liquidity and Bursting Bubbles in New and Emerging Markets: An Overinvestment View," The World Economy, Wiley Blackwell, vol. 31(9), pages 1226-1252, September.
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    5. Konstantinos N. Konstantakis & Ioannis G. Melissaropoulos & Theodoros Daglis & Panayotis G. Michaelides, 2023. "The euro to dollar exchange rate in the Covid‐19 era: Evidence from spectral causality and Markov‐switching estimation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 2037-2055, April.
    6. Ronald McDonald & Xuxin Mao, 2016. "Japan's Currency Intervention Regimes: A Microstructural Analysis with Speculation and Sentiment," Working Papers 2016_06, Business School - Economics, University of Glasgow.
    7. Broto, Carmen, 2013. "The effectiveness of forex interventions in four Latin American countries," Emerging Markets Review, Elsevier, vol. 17(C), pages 224-240.
    8. DANNE, Christian & SCHNABL, Gunther, 2008. "A role model for China? Exchange rate flexibility and monetary policy in Japan," China Economic Review, Elsevier, vol. 19(2), pages 183-196, June.
    9. Hui, Eddie C.M. & Yu, Carisa K.W. & Ip, Wai-Cheung, 2010. "Jump point detection for real estate investment success," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(5), pages 1055-1064.
    10. Chen, Ho-Chyuan & Chang, Kuang-Liang & Yu, Shih-Ti, 2012. "Application of the Tobit model with autoregressive conditional heteroscedasticity for foreign exchange market interventions," Japan and the World Economy, Elsevier, vol. 24(4), pages 274-282.
    11. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2013. "Foreign Exchange Market Interventions and the $-¥ Exchange Rate in the Long-Run," Ruhr Economic Papers 0428, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    12. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2015. "Foreign exchange market interventions and the $-¥ exchange rate in the long run," Applied Economics, Taylor & Francis Journals, vol. 47(38), pages 4037-4055, August.
    13. Nikkinen, Jussi & Vähämaa, Sami, 2009. "Central bank interventions and implied exchange rate correlations," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 862-873, December.
    14. Brause, Alexander, 2008. "Foreign exchange interventions in emerging market countries: New lessons from Argentina," W.E.P. - Würzburg Economic Papers 79, University of Würzburg, Department of Economics.
    15. Calvo-Gonzalez, Oscar & Shankar, Rashmi & Trezzi, Riccardo, 2010. "Are commodity prices more volatile now ? a long-run perspective," Policy Research Working Paper Series 5460, The World Bank.
    16. Grossmann, Axel & Orlov, Alexei G., 2012. "Exchange rate misalignments in frequency domain," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 185-199.

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    More about this item

    Keywords

    Exchange rate volatility; Foreign exchange intervention; Structural break; GARCH; Change points; Japan; C22; E58; F31; F33; G15; C32;
    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
    • 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
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • 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

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