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Bank of Russia regular communications and volatility short-term effects in financial markets

Author

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  • Telegin, O.

    (National Research University "Higher School of Economics", Moscow, Russia)

Abstract

This paper investigates the relationship between the volatility of various indicators of the Russia financial markets and the communication policy of the Bank of Russia, namely, regular communications channel - press releases and press conferences following the meetings of the Board of Directors of the Bank of Russia. The use of these two channels of regular verbal interventions aims not only to familiarize market participants with the decision on the key rate adopted during the meeting, but also to describe the reasons for this decision, along with a brief description of the current state of the economy in the way the regulator observes it. The results of econometric analysis using HAR-models of high-frequency 5-minute volatility, taking into account intraday volatility patterns, show that regular communications of the Bank of Russia (namely, press releases following a meeting of the Bank of Russia Board of directors) really increase volatility in financial markets, while market participants cannot instantly estimate the significance of the new information, while this process takes about 15-20 minutes. However, the effect of increasing volatility is practically insignificant statistically when it comes to press conferences of the Governor Elvira Nabiullina. This result may indicate almost complete absence of new information for the market participants, disclosed during the opening speech at the press conference and the Q and A session. Also, within the framework of the study, recommendations were formulated for the Bank of Russia to change the format of regular communications.

Suggested Citation

  • Telegin, O., 2022. "Bank of Russia regular communications and volatility short-term effects in financial markets," Journal of the New Economic Association, New Economic Association, vol. 54(2), pages 130-155.
    • Handle: RePEc:nea:journl:y:2022:i:54:p:130-155
    DOI: 10.31737/2221-2264-2022-54-2-7
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    as
    1. Égert, Balázs & Kočenda, Evžen, 2014. "The impact of macro news and central bank communication on emerging European forex markets," Economic Systems, Elsevier, vol. 38(1), pages 73-88.
    2. Evans, Kevin P. & Speight, Alan E.H., 2010. "Intraday periodicity, calendar and announcement effects in Euro exchange rate volatility," Research in International Business and Finance, Elsevier, vol. 24(1), pages 82-101, January.
    3. Olga Kuznetsova & Sofiya Ulyanova, 2018. "The Exchange Rate and the Verbal Interventions by the Government and the Bank of Russia," HSE Economic Journal, National Research University Higher School of Economics, vol. 22(2), pages 228-250.
    4. Bauwens, Luc & Ben Omrane, Walid & Giot, Pierre, 2005. "News announcements, market activity and volatility in the euro/dollar foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1108-1125, November.
    5. Evans, Kevin & Speight, Alan, 2010. "International macroeconomic announcements and intraday euro exchange rate volatility," Journal of the Japanese and International Economies, Elsevier, vol. 24(4), pages 552-568, December.
    6. Stephen J. Cole, 2021. "Learning and the Effectiveness of Central Bank Forward Guidance," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(1), pages 157-200, February.
    7. Martin D. D. Evans & Richard K. Lyons, 2017. "Do Currency Markets Absorb News Quickly?," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 12, pages 477-505, World Scientific Publishing Co. Pte. Ltd..
    8. Ederington, Louis H & Lee, Jae Ha, 1993. "How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    9. Fulvio Corsi, 2009. "A Simple Approximate Long-Memory Model of Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 7(2), pages 174-196, Spring.
    10. Rosa, Carlo, 2011. "Words that shake traders," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 915-934.
    11. Lars Forsberg & Eric Ghysels, 2007. "Why Do Absolute Returns Predict Volatility So Well?," Journal of Financial Econometrics, Oxford University Press, vol. 5(1), pages 31-67.
    12. Gaetano Gaballo, 2016. "Rational Inattention to News: The Perils of Forward Guidance," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(1), pages 42-97, January.
    13. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2003. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," American Economic Review, American Economic Association, vol. 93(1), pages 38-62, March.
    14. Bernd Hayo & Ali M. Kutan & Matthias Neuenkirch, 2008. "Financial Market Reaction to Federal Reserve Communications: Does the Crisis Make a Difference?," MAGKS Papers on Economics 200808, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    15. Dewachter, Hans & Erdemlioglu, Deniz & Gnabo, Jean-Yves & Lecourt, Christelle, 2014. "The intra-day impact of communication on euro-dollar volatility and jumps," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 131-154.
    16. S. Merzlyakov & R. Khabibullin., 2017. "Information policy of the Bank of Russia: The influence of the press releases on the interbank rate," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 11.
    17. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
    18. Woodford, Michael, 2013. "Forward Guidance by Inflation-Targeting Central Banks," CEPR Discussion Papers 9722, C.E.P.R. Discussion Papers.
    19. Cyree, Ken B. & Griffiths, Mark D. & Winters, Drew B., 2004. "An empirical examination of the intraday volatility in euro-dollar rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(1), pages 44-57, February.
    20. Oscar Bernal Diaz & Jean-Yves Gnabo, 2007. "Talks, financial operations or both? Generalizing central banks' FX reaction functions," DULBEA Working Papers 07-03.RS, ULB -- Universite Libre de Bruxelles.
    21. Aganin, Artem, 2017. "Forecast comparison of volatility models on Russian stock market," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 48, pages 63-84.
    22. Vortelinos, Dimitrios I., 2017. "Forecasting realized volatility: HAR against Principal Components Combining, neural networks and GARCH," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 824-839.
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    More about this item

    Keywords

    communication policy; verbal interventions; HAR-models; exchange rate volatility; central bank; Bank of Russia;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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