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A New Method for Identifying the Effects of Foreign Exchange Interventions

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  • CHIH‐NAN CHEN
  • TSUTOMU WATANABE
  • TOMOYOSHI YABU

Abstract

Central banks react even to intraday changes in the exchange rate; however, in most cases, intervention data are available only at a daily frequency. This temporal aggregation makes it difficult to identify the effects of interventions on the exchange rate. We apply the Bayesian Markov‐chain Monte Carlo (MCMC) approach to this endogeneity problem. We use “data augmentation” to obtain intraday intervention amounts and estimate the efficacy of interventions using the augmented data. Applying this new method to Japanese data, we find that an intervention of 1 trillion yen moves the yen/dollar rate by 1.8%, which is more than twice as much as the magnitude reported in previous studies applying ordinary least squares to daily observations. This shows the quantitative importance of the endogeneity problem due to temporal aggregation.

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  • Chih‐Nan Chen & Tsutomu Watanabe & Tomoyoshi Yabu, 2012. "A New Method for Identifying the Effects of Foreign Exchange Interventions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1507-1533, December.
    • Handle: RePEc:wly:jmoncb:v:44:y:2012:i:8:p:1507-1533
    DOI: 10.1111/j.1538-4616.2012.00542.x
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    Cited by:

    1. Rasmus Fatum & Yohei Yamamoto, 2012. "Does foreign exchange intervention volume matter?," Globalization Institute Working Papers 115, Federal Reserve Bank of Dallas.
    2. MORIKAWA Masayuki, 2016. "Uncertainty over Exchange Rates and Exports: Evidence from dispersion of expectations as a measure of uncertainty," Discussion papers 16010, Research Institute of Economy, Trade and Industry (RIETI).
    3. Lukas Boer, 2019. "Measuring the Effect of Foreign Exchange Intervention Policies on Exchange Rates," DIW Roundup: Politik im Fokus 128, DIW Berlin, German Institute for Economic Research.
    4. Menkhoff, Lukas & Rieth, Malte & Stöhr, Tobias, 2021. "The Dynamic Impact of FX Interventions on Financial Markets," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 103(5), pages 939-953.
    5. Elizabeth Bucacos & Javier García-Cicco & Miguel Mello, 2023. "Foreign Exchange Interventions and Foreign Shocks. The case of Uruguay," Documentos de trabajo 2023008, Banco Central del Uruguay.
    6. 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.
    7. Svitlana Galeshchuk, 2017. "Technological bias at the exchange rate market," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 24(2-3), pages 80-86, April.
    8. Bai, Yiyi & Dang, Tri Vi & He, Qing & Lu, Liping, 2022. "Does lending relationship help or alleviate the transmission of liquidity shocks? Evidence from a liquidity crunch in China," Journal of Financial Stability, Elsevier, vol. 58(C).
    9. Moura, Marcelo L. & Pereira, Fatima R. & Attuy, Guilherme de Moraes, 2013. "Currency Wars in Action: How Foreign Exchange Interventions Work in an Emerging Economy," Insper Working Papers wpe_304, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    10. Adler, Gustavo & Lisack, Noëmie & Mano, Rui C., 2019. "Unveiling the effects of foreign exchange intervention: A panel approach," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.
    11. FATUM, Rasmus & YAMAMOTO, Yohei & CHEN, Binwei, 2023. "The Trend Effect of Foreign Exchange Intervention," Discussion paper series HIAS-E-132, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    12. Ito, Takatoshi & Yabu, Tomoyoshi, 2020. "Japanese Foreign Exchange Interventions, 1971-2018: Estimating a Reaction Function Using the Best Proxy," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    13. Toshio Utsunomiya, 2013. "A new approach to the effect of intervention frequency on the foreign exchange market: evidence from Japan," Applied Economics, Taylor & Francis Journals, vol. 45(26), pages 3742-3759, September.
    14. Watanabe, Tsutomu & Yabu, Tomoyoshi, 2013. "The great intervention and massive money injection: The Japanese experience 2003–2004," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 428-443.

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    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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