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Realized Volatility as an Instrument to Official Intervention

In: Monetary Policy and Financial Stability in Latin America and the Caribbean

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  • João Barata Ribeiro Blanco Barroso

    () (Banco Central do Brasil)

Abstract

This chapter proposes a novel orthogonality condition based on realized volatility that allows instrumental variable estimation of the effects of spot intervention in foreign exchange markets. We consider parametric and nonparametric instrumental variable estimation and propose a test based on the average treatment effect of intervention. We apply the method to a unique dataset for the BRL/USD market with full records of spot intervention and net order flow intermediated by the financial system. Overall the average effect of a one billion dollars sell or buy intervention is close to 0.51% depreciation or appreciation, respectively, estimated in the linear framework, which is therefore robust to nonlinear interactions. The estimates are a bit lower when controlling for derivative operations, which suggests the intervention policies (spot and swaps) are complementary.

Suggested Citation

  • João Barata Ribeiro Blanco Barroso, 2018. "Realized Volatility as an Instrument to Official Intervention," Investigación Conjunta-Joint Research, in: Alberto Ortiz-Bolaños (ed.), Monetary Policy and Financial Stability in Latin America and the Caribbean, edition 1, volume 1, chapter 8, pages 259-281, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
  • Handle: RePEc:cml:incocp:5en-8
    Note: Joint Research Program XIX Meeting of the Central Bank Researchers Network
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    References listed on IDEAS

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    1. Engle, Robert F. & Gallo, Giampiero M., 2006. "A multiple indicators model for volatility using intra-daily data," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 3-27.
    2. 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.
    3. Emanuel Kohlscheen & Sandro C. Andrade, 2013. "Official Interventions through Derivatives: affecting the demand for foreign exchange," Working Papers Series 317, Central Bank of Brazil, Research Department.
    4. Fatum, Rasmus & Hutchison, Michael M., 2010. "Evaluating foreign exchange market intervention: Self-selection, counterfactuals and average treatment effects," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 570-584, April.
    5. Wu, Thomas, 2006. "Order Flow in the South: Anatomy of the Brazilian FX Market," Santa Cruz Center for International Economics, Working Paper Series qt1k2250wj, Center for International Economics, UC Santa Cruz.
    6. Kearns, Jonathan & Rigobon, Roberto, 2005. "Identifying the efficacy of central bank interventions: evidence from Australia and Japan," Journal of International Economics, Elsevier, vol. 66(1), pages 31-48, May.
    7. Neil Shephard & Kevin Sheppard, 2010. "Realising the future: forecasting with high-frequency-based volatility (HEAVY) models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 197-231.
    8. Galati, Gabriele & Melick, William & Micu, Marian, 2005. "Foreign exchange market intervention and expectations: The yen/dollar exchange rate," Journal of International Money and Finance, Elsevier, vol. 24(6), pages 982-1011, October.
    9. Cheng, Ai-ru (Meg) & Das, Kuntal & Shimatani, Takeshi, 2013. "Central bank intervention and exchange rate volatility: Evidence from Japan using realized volatility," Journal of Asian Economics, Elsevier, vol. 28(C), pages 87-98.
    10. Emanuel Kohlscheen, 2012. "Order Flow and the Real: Indirect Evidence of the Effectiveness of Sterilized Interventions," Working Papers Series 273, Central Bank of Brazil, Research Department.
    11. Jonathan Kearns & Roberto Rigobon, 2002. "Identifying the Efficacy of Central Bank Interventions: The Australian Case," NBER Working Papers 9062, National Bureau of Economic Research, Inc.
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    13. Paolo Vitale, 2007. "An assessment of some open issues in the analysis of foreign exchange intervention," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(2), pages 155-170.
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    17. Cem Karacadag & Roberto Pereira Guimarães, 2004. "The Empirics of Foreign Exchange Intervention in Emerging Markets; The Cases of Mexico and Turkey," IMF Working Papers 04/123, International Monetary Fund.
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    Citations

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    Cited by:

    1. de Oliveira, Felipe A. & Maia, Sinézio F. & de Jesus, Diego P. & Besarria, Cássio da N., 2018. "Which information matters to market risk spreading in Brazil? Volatility transmission modelling using MGARCH-BEKK, DCC, t-Copulas," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 83-100.
    2. Chamon, Marcos & Garcia, Márcio & Souza, Laura, 2017. "FX interventions in Brazil: A synthetic control approach," Journal of International Economics, Elsevier, vol. 108(C), pages 157-168.
    3. Viola, Alessandra Pasqualina & Klotzle, Marcelo Cabus & Pinto, Antonio Carlos Figueiredo & da Silveira Barbedo, Claudio Henrique, 2019. "Foreign exchange interventions in Brazil and their impact on volatility: A quantile regression approach," Research in International Business and Finance, Elsevier, vol. 47(C), pages 251-263.
    4. 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.
    5. Yan Carriere-Swallow & Luis I. Jacome H. & Nicolas E Magud & Alejandro M. Werner, 2016. "Central Banking in Latin America; The Way Forward," IMF Working Papers 16/197, International Monetary Fund.

    More about this item

    Keywords

    realized volatility; intervention; exchange rate; order flow; instrumental variable; nonparametric.;

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

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