IDEAS home Printed from https://ideas.repec.org/a/nea/journl/y2022i54p130-155.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.econorus.org/repec/journl/2022-54-130-155r.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.31737/2221-2264-2022-54-2-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    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. 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.
    4. 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.
    5. 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.
    6. Rosa, Carlo, 2011. "Words that shake traders," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 915-934.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Woodford, Michael, 2013. "Forward Guidance by Inflation-Targeting Central Banks," CEPR Discussion Papers 9722, C.E.P.R. Discussion Papers.
    16. 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.
    17. 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.
    18. 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..
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Deniz Erdemlioglu & Sébastien Laurent & Christopher J. Neely, 2013. "Econometric modeling of exchange rate volatility and jumps," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 16, pages 373-427, Edward Elgar Publishing.
    2. Christopher J. Neely, 2011. "A survey of announcement effects on foreign exchange volatility and jumps," Review, Federal Reserve Bank of St. Louis, vol. 93(Sep), pages 361-385.
    3. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš, 2019. "Central bank announcements and realized volatility of stock markets in G7 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 117-135.
    4. Ehrmann, Michael & Osbat, Chiara & Stráský, Jan & Uusküla, Lenno, 2014. "The euro exchange rate during the European sovereign debt crisis – Dancing to its own tune?," Journal of International Money and Finance, Elsevier, vol. 49(PB), pages 319-339.
    5. Tomáš Plíhal, 2021. "Scheduled macroeconomic news announcements and Forex volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1379-1397, December.
    6. Tim Bollerslev & Benjamin Hood & John Huss & Lasse Heje Pedersen, 2018. "Risk Everywhere: Modeling and Managing Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2729-2773.
    7. Evans, Kevin P. & Speight, Alan E.H., 2010. "Dynamic news effects in high frequency Euro exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(3), pages 238-258, July.
    8. repec:uts:finphd:39 is not listed on IDEAS
    9. 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.
    10. Tamgac, Unay, 2021. "Emerging market exchange rates during quantitative tapering: The effect of US and domestic news," Research in International Business and Finance, Elsevier, vol. 57(C).
    11. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš & Širaňová, Mária, 2020. "Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    12. Ran Xiao, 2019. "Essays on Price Discovery and Volatility Dynamics in Emerging Market Currencies," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2019, January-A.
    13. Ayadi, Mohamed A. & Ben Omrane, Walid & Wang, Jiayu & Welch, Robert, 2022. "Senior official speech attributes and foreign exchange risk around business cycles," International Review of Financial Analysis, Elsevier, vol. 80(C).
    14. Munazza Jabeen & Abdul Rashid, 2022. "Macroeconomic News and Exchange Rates: Exploring the Role of Order Flow," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 14(2), pages 222-245, May.
    15. Han, Young Wook, 2008. "Intraday effects of macroeconomic shocks on the US Dollar-Euro exchange rates," Japan and the World Economy, Elsevier, vol. 20(4), pages 585-600, December.
    16. repec:uts:finphd:38 is not listed on IDEAS
    17. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    18. Dungey, Mardi & Matei, Marius & Treepongkaruna, Sirimon, 2020. "Examining stress in Asian currencies: A perspective offered by high frequency financial market data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
    19. Su, Fei, 2021. "Conditional volatility persistence and volatility spillovers in the foreign exchange market," Research in International Business and Finance, Elsevier, vol. 55(C).
    20. Fei Su, 2018. "Essays on Price Discovery and Volatility Dynamics in the Foreign Exchange Market," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2018, January-A.
    21. Özbekler, Ali Gencay & Kontonikas, Alexandros & Triantafyllou, Athanasios, 2021. "Volatility forecasting in European government bond markets," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1691-1709.
    22. Stefan Mittnik & Nikolay Robinzonov & Klaus Wohlrabe, 2013. "The Micro Dynamics of Macro Announcements," CESifo Working Paper Series 4421, CESifo.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nea:journl:y:2022:i:54:p:130-155. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Alexey Tcharykov (email available below). General contact details of provider: https://edirc.repec.org/data/nearuea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.