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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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    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. Chertman, Fernando & Hutchison, Michael & Zink, David, 2020. "Facing the Quadrilemma: Taylor rules, intervention policy and capital controls in large emerging markets," Journal of International Money and Finance, Elsevier, vol. 102(C).
    5. João Barata R. B. Barroso, 2014. "Behavioral Models of the Foreign Exchange Market: is there any empirical content?," Working Papers Series 364, Central Bank of Brazil, Research Department.
    6. 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.
    7. Luna Santos, Francisco, 2021. "Comparing the impact of discretionary and pre-announced central bank interventions," Journal of International Money and Finance, Elsevier, vol. 110(C).
    8. Mr. Yan Carriere-Swallow & Mr. Luis Ignacio Jácome & Mr. Nicolas E Magud & Alejandro M. Werner, 2016. "Central Banking in Latin America: The Way Forward," IMF Working Papers 2016/197, International Monetary Fund.

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    More about this item

    Keywords

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

    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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