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The Signalling Channel of Central Bank Interventions: Modelling the Yen/US Dollar Exchange Rate

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  • Chen, Yu-Fu
  • Funke, Michael
  • Glanemann, Nicole

Abstract

This paper presents a theoretical framework analysing the signalling channel of exchange rate interventions as an informational trigger. We develop an implicit target zone framework with learning in order to model the signalling channel. The theoretical premise of the model is that interventions convey signals that communicate information about the exchange rate objectives of central bank. The model is used to analyse the impact of Japanese FX interventions during the period 1999 -2011 on the yen/US dollar dynamics.

Suggested Citation

  • Chen, Yu-Fu & Funke, Michael & Glanemann, Nicole, 2012. "The Signalling Channel of Central Bank Interventions: Modelling the Yen/US Dollar Exchange Rate," SIRE Discussion Papers 2012-36, Scottish Institute for Research in Economics (SIRE).
    • Handle: RePEc:edn:sirdps:369
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    References listed on IDEAS

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    1. Chen Yu-Fu & Funke Michael & Glanemann Nicole, 2013. "Off-the-record target zones: theory with an application to Hong Kong’s currency board," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 373-393, September.
    2. Jacob A. Frenkel & Morris Goldstein, 2017. "A Guide to Target Zones," World Scientific Book Chapters, in: TRADE CURRENCIES AND FINANCE, chapter 5, pages 165-206, World Scientific Publishing Co. Pte. Ltd..
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    4. Fabian Reeves, Silke, 1998. "Partial Credibility, Information Selection and the Signalling Channel of Sterilized Interventions," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 13, pages 108-130.
    5. Mark P. Taylor & Lucio Sarno, 2001. "Official Intervention in the Foreign Exchange Market: Is It Effective and, If So, How Does It Work?," Journal of Economic Literature, American Economic Association, vol. 39(3), pages 839-868, September.
    6. Baillie, Richard T. & Humpage, Owen F. & Osterberg, William P., 2000. "Intervention from an information perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 10(3-4), pages 407-421, December.
    7. Lukas Menkhoff, 2010. "High‐Frequency Analysis Of Foreign Exchange Interventions: What Do We Learn?," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 85-112, February.
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    13. Ito, Takatoshi & Yabu, Tomoyoshi, 2007. "What prompts Japan to intervene in the Forex market? A new approach to a reaction function," Journal of International Money and Finance, Elsevier, vol. 26(2), pages 193-212, March.
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    15. Chen Yu-Fu & Funke Michael & Glanemann Nicole, 2013. "Off-the-record target zones: theory with an application to Hong Kong’s currency board," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 373-393, September.
    16. Klein, Michael W., 1992. "Big effects of small interventions: The informational role of intervention in exchange rate policy," European Economic Review, Elsevier, vol. 36(4), pages 915-924, May.
    17. Hall, Yosuke & Kim, Suk-Joong, 2009. "What drives Yen interventions in Tokyo?: Do off-shore foreign exchange markets matter more than Tokyo market?," Pacific-Basin Finance Journal, Elsevier, vol. 17(2), pages 175-188, April.
    18. Bhattacharya, Utpal & Weller, Paul, 1997. "The advantage to hiding one's hand: Speculation and central bank intervention in the foreign exchange market," Journal of Monetary Economics, Elsevier, vol. 39(2), pages 251-277, July.
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    21. Iannizzotto, Matteo & Taylor, Mark P, 1999. "The Target Zone Model, Non-linearity and Mean Reversion: Is the Honeymoon Really Over?," Economic Journal, Royal Economic Society, vol. 109(454), pages 96-110, March.
    22. Cheung, Yin-Wong & Chinn, Menzie David, 2001. "Currency traders and exchange rate dynamics: a survey of the US market," Journal of International Money and Finance, Elsevier, vol. 20(4), pages 439-471, August.
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    Cited by:

    1. Chen Yu-Fu & Funke Michael & Glanemann Nicole, 2013. "Off-the-record target zones: theory with an application to Hong Kong’s currency board," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 373-393, September.
    2. Smita Roy Trivedi & P. G. Apte, 2016. "Central Bank Intervention in USD/INR Market: Estimating Its Reaction Function and Impact on Volatility," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 23(3), pages 263-279, September.
    3. Emilian DOBRESCU, 2016. "Controversies over the Size of the Public Budget," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-34, December.
    4. Smita Roy Trivedi, 2020. "The Moses effect: can central banks really guide foreign exchange markets?," Empirical Economics, Springer, vol. 58(6), pages 2837-2865, June.
    5. Mustapha A. Akinkunmi, 2017. "Rebound Effects of Exchange Rate and Central Bank Interventions in Selected ECOWAS Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 489-500.

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    More about this item

    Keywords

    Exchange rates; interventions; Japan;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • 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

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