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Exchange rate management in emerging markets: Intervention via an electronic limit order book

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  • Melvin, Michael
  • Menkhoff, Lukas
  • Schmeling, Maik

Abstract

This paper describes and analyzes the implementation of a crawling exchange rate band on an electronic trading platform. The placement of limit orders at the central bank's target rate serves as a credible policy statement that may coordinate beliefs of market participants. We find for our sample that intervention increases exchange rate volatility (and spread) for the next minutes but that intervention days show a lower degree of volatility (and spread) than non-intervention days. We also show for intraday data that the price impact of interbank order flow is smaller on intervention days than on non-intervention days. These stabilizing effects, however, rely on the conditions of large currency reserves and the existence of capital controls; an electronic market seems to support this goal.

Suggested Citation

  • Melvin, Michael & Menkhoff, Lukas & Schmeling, Maik, 2009. "Exchange rate management in emerging markets: Intervention via an electronic limit order book," Journal of International Economics, Elsevier, vol. 79(1), pages 54-63, September.
    • Handle: RePEc:eee:inecon:v:79:y:2009:i:1:p:54-63
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    3. King, Michael R. & Osler, Carol L. & Rime, Dagfinn, 2013. "The market microstructure approach to foreign exchange: Looking back and looking forward," Journal of International Money and Finance, Elsevier, vol. 38(C), pages 95-119.
    4. Lukas Menkhoff & Malte Rieth & Tobias Stohr, 2021. "The Dynamic Impact of FX Interventions on Financial Markets," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 939-953, December.
    5. Zineddine Alla, 2017. "Optimal policies in international macroeconomics [Politiques optimales en macroéconomie internationale]," SciencePo Working papers Main tel-03436551, HAL.
    6. Steiner, Andreas, 2017. "Central banks and macroeconomic policy choices: Relaxing the trilemma," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 283-299.
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    8. Michael Funke & Marc Gronwald, 2009. "A Convex Hull Approach to Counterfactual Analysis of Trade Openness and Growth," Quantitative Macroeconomics Working Papers 20906, Hamburg University, Department of Economics.
    9. Xing Yu & Yanyan Li & Xinxin Wang, 2024. "RMB exchange rate forecasting using machine learning methods: Can multimodel select powerful predictors?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 644-660, April.
    10. 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.
    11. Lukas Menkhoff, 2013. "Foreign Exchange Intervention in Emerging Markets: A Survey of Empirical Studies," The World Economy, Wiley Blackwell, vol. 36(9), pages 1187-1208, September.
    12. Zineddine Alla, 2017. "Optimal policies in international macroeconomics [Politiques optimales en macroéconomie internationale]," SciencePo Working papers tel-03436551, HAL.
    13. Louisa Chen & Estelle Xue Liu & Zijun Liu, 2022. "FX Resilience around the World: Fighting Volatile Cross-Border Capital Flows," Papers 2210.04648, arXiv.org.
    14. Marcel Fratzscher & Tobias Heidland & Lukas Menkhoff & Lucio Sarno & Maik Schmeling, 2023. "Foreign Exchange Intervention: A New Database," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(4), pages 852-884, December.
    15. Melvin, Michael & Menkhoff, Lukas & Schmeling, Maik, 2009. "Exchange rate management in emerging markets: Intervention via an electronic limit order book," Journal of International Economics, Elsevier, vol. 79(1), pages 54-63, September.
    16. Wenliang Guo, 2020. "Currency Regimes, Volatility Risks, and Carry Trades: The Option Value of Government Currency Intervention in Emerging Markets," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(3), pages 1-4.
    17. Chen, Pei-wen & Huang, Han-ching & Su, Yong-chern, 2014. "The central bank in market efficiency: The case of Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 239-260.
    18. repec:hal:spmain:info:hdl:2441/6kvjk9o32n8m88c6de3gc0gltj is not listed on IDEAS
    19. Masayuki Susai & Yushi Yoshida, 2012. "Central bank interventions and limit order behavior in the foreign exchange market," Discussion Papers 56, Kyushu Sangyo University, Faculty of Economics.
    20. Fatum, Rasmus & Pedersen, Jesper & Sørensen, Peter Norman, 2013. "The intraday effects of central bank intervention on exchange rate spreads," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 103-117.
    21. 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.
    22. Fricke, Christoph, 2012. "Expected and unexpected bond excess returns: Macroeconomic and market microstructure effects," Hannover Economic Papers (HEP) dp-493, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    23. repec:mcb:jmoncb:v:45:y:2013:i::p:867-890 is not listed on IDEAS
    24. Kitamura, Yoshihiro, 2016. "Does the simple microstructure model tell the time of the FX intervention? A one day analysis of the Japanese FX intervention," Research in International Business and Finance, Elsevier, vol. 36(C), pages 436-446.
    25. Tajaddini, Reza & Crack, Timothy Falcon, 2012. "Do momentum-based trading strategies work in emerging currency markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 521-537.

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    More about this item

    Keywords

    Foreign exchange market microstructure Limit order book Electronic crossing network Exchange rate intervention;

    JEL classification:

    • F39 - International Economics - - International Finance - - - Other
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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