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Identification of monetary surprises using intraday data

https://doi.org/10.32609/0042-8736-2024-6-26-43

Abstract

Currently, the Bank of Russia in its press releases informs the public not only about the decision on the interest rate, but also on the planned trajectory of future interest rates and its own forecasts of the development of the macroeconomic situation. Thus, the Central Bank’s announcement may be unexpected for the public in two senses: a change in the key rate (monetary surprise) and providing new forecast information (informational surprise). The impact of different types of surprises on macroeconomic dynamics may be different, so it is advisable to be able to identify the effect of each of them separately. In this paper, the identification of monetary surprises is proposed, which has advantages over those already presented in the literature. It allows, firstly, to identify yield curve shocks and, secondly, to remove the non-monetary (informational) component from the estimates of monetary surprises. The paper reveals the need to identify information shocks using intraday data and the advantages of using minute data compared to using data of lower frequency. Based on the proposed high-frequency approach, we assess the role of information shocks and the role of interest rate trajectory signals in formatting Russian inflation expectations.

About the Authors

V. A. Bannikova
Russian Presidential Academy of National Economy and Public Administration; Lomonosov Moscow State University
Russian Federation

Viktoria A. Bannikova

Moscow



O. S. Vinogradova
Lomonosov Moscow State University
Russian Federation

Olga S. Vinogradova

Moscow



F. S. Kartaev
Russian Presidential Academy of National Economy and Public Administration; Lomonosov Moscow State University
Russian Federation

Filipp S. Kartaev

Moscow

 



References

1. Adramov V., Tishin A., Styrin K. (2022). Monetary policy and the yield curve. Bank of Russia Working Paper Series, No. 95B.

2. Bannikova V. A., Pestova A. A. (2021). The effects of monetary shocks on inflation: High-frequency approach. Voprosy Ekonomiki, No. 6, pp. 47—76. (In Russian). https://doi.org/10.32609/0042-8736-2021-6-47-76

3. Borzykh O. A. (2016). Bank lending channel in Russia: A TVP-FAVAR approach. Applied Econometrics, Vol. 43, pp. 96—117. (In Russian).

4. Evstigneeva A., Shchadilova Y., Sidorovsky M. (2022). The role of communication and information factors in the emergence of surprises in the monetary policy of the Bank of Russia. Bank of Russia Working Paper Series, No. 99.

5. Kreptsev D. A., Seleznev S. M. (2017). The impact of money market interest rates on retail interest rates. Russian Journal of Money & Finance, No. 9, pp. 18—27. (In Russian).

6. Pestova A. A., Mamonov M. E., Rostova N. A. (2019). Monetary policy shocks in the Russian economy and their macroeconomic effects. Ekonomicheskaya Politika, Vol. 14, No. 4, pp. 48—75. (In Russian). https://doi.org/10.18288/1994-5124-2019-4-48-75

7. Sinelnikova-Muryleva E. (2017). Analysis of transmission mechanisms of monetary policy of the Bank of Russia in conditions of transition to inflation targeting. Moscow: RANEPA. (In Russian).

8. Tishin A. (2019). Monetary policy surprises in Russia. Russian Journal of Money and Finance, Vol. 78, No. 4, pp. 48—70. (In Russian). https://doi.org/10.31477/rjmf.201904.48

9. Shchadilova Y., Evstigneeva A. (2023). Communication on monetary policy decisions and macroeconomic forecasts: International experience. Analytical Note. Moscow: Bank of Russia.

10. Altavilla C., Brugnolini L., Gürkaynak R., Motto R. (2019). Measuring euro area monetary policy. Journal of Monetary Economics, Vol. 108, pp. 162—179. https://doi.org/10.1016/j.jmoneco.2019.08.016

11. Andreev A. V., Orlov D. A. (2021). Estimation of implied inflation from prices of inflation-indexed bonds. Methodological comment. Moscow: Bank of Russia.

12. Cieslak A., Schrimpf A. (2019). Non-monetary news in central bank communication. Journal of International Economics, Vol. 118, pp. 293—315. https://doi.org/10.1016/j.jinteco.2019.01.012

13. Kleibergen F., Paap R. (2006). Generalized reduced rank tests using the singular value decomposition. Journal of Econometrics, Vol. 133, No. 1, pp. 97—126. https:// doi.org/10.1016/j.jeconom.2005.02.011

14. Gürkaynak R. S., Sack B., Swanson E. (2005). The sensitivity of long-term interest rates to economic news: Evidence and implications for macroeconomic models. American Economic Review, Vol. 95, No. 1, pp. 425—436. https://doi.org/10.1257/0002828053828446

15. Hanson S. G., Stein J. C. (2015). Monetary policy and long-term real rates. Journal of Financial Economics, Vol. 115, No. 3, pp. 429—448. https://doi.org/10.1016/j.jfineco.2014.11.001

16. Inci A. C., Lu B. (2007). Currency futures-spot basis and risk premium. Journal of International Financial Markets, Institutions and Money, Vol. 17, No. 2, pp. 180— 197. https://doi.org/10.1016/j.intfin.2005.10.003

17. Inoue A., Rossi B. (2021). A new approach to measuring economic policy shocks, with an application to conventional and unconventional monetary policy. Supplemental material. Quantitative Economics Supplemental Material, Vol. 12, No. 4, pp. 1085—1138. https://doi.org/10.3982/QE1225

18. Jarociński M., Karadi P. (2020). Deconstructing monetary policy surprises—the role of information shocks. American Economic Journal: Macroeconomics, Vol. 12, No. 2, pp. 1—43. https://doi.org/10.1257/mac.20180090

19. Kilian L., Lütkepohl H. (2017). Structural vector autoregressive analysis. Cambridge University Press. https://doi.org/10.1017/9781108164818

20. Lang R. W., Rasche R. H. (1978). A comparison of yields on futures contracts and implied forward rates. Federal Reserve Bank of St. Louis Monthly Review, Vol. 60, No. 12, pp. 21—30. https://doi.org/10.20955/r.60.21-30.pgo

21. Rubio-Ramírez J. F., Waggoner D. F., Zha T. (2010). Structural vector autoregressions: Theory of identification and algorithms for inference. Review of Economic Studies, Vol. 77, No. 2, pp. 665—696. https://doi.org/10.1111/j.1467-937X.2009.00578.x

22. Swanson E. T. (2021). Measuring the effects of Federal Reserve forward guidance and asset purchases on financial markets. Journal of Monetary Economics, Vol. 118, pp. 32—53. https://doi.org/10.1016/j.jmoneco.2020.09.003


Review

For citations:


Bannikova V.A., Vinogradova O.S., Kartaev F.S. Identification of monetary surprises using intraday data. Voprosy Ekonomiki. 2024;(6):26-43. (In Russ.) https://doi.org/10.32609/0042-8736-2024-6-26-43

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