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Realized Volatility as an Instrument to Official Intervention

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  • João Barata R. B. Barroso

Abstract

This paper 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 1 billion USD sell or buy interventions are close to the 0.51% depreciation or appreciation, respectively, estimated in the linear framework, which is therefore robust to nonlinear interactions. The estimates are a bit lower controlling for derivative operations, which suggests the intervention policies (spot and swaps) are complementary.

Suggested Citation

  • João Barata R. B. Barroso, 2014. "Realized Volatility as an Instrument to Official Intervention," Working Papers Series 363, Central Bank of Brazil, Research Department.
    • Handle: RePEc:bcb:wpaper:363
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    Cited by:

    1. 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.
    2. 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.
    3. 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).
    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. 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.
    6. 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.
    7. 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.
    8. 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).

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    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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