IDEAS home Printed from https://ideas.repec.org/a/eee/ecosys/v45y2021i2s0939362520300765.html
   My bibliography  Save this article

The transmission of international shocks to CIS economies: A global VAR approach

Author

Listed:
  • Faryna, Oleksandr
  • Simola, Heli

Abstract

This paper employs a Global Vector Auto Regressive (GVAR) model to study the evolution of the response of the Commonwealth of Independent States (CIS) to foreign output and oil price shocks. During an observation period of two decades, cross-country trade and financial linkages experience notable changes. We find CIS countries to be highly sensitive to global and regional shocks, with that sensitivity increasing after the global financial crisis. CIS countries show the strongest responses to output shocks originating in the US, Russia and within the region itself, but their sensitivity to euro area shocks also increases substantially. Despite growing trade relations with China, the responses of CIS countries to output shocks originating in China are still relatively moderate.

Suggested Citation

  • Faryna, Oleksandr & Simola, Heli, 2021. "The transmission of international shocks to CIS economies: A global VAR approach," Economic Systems, Elsevier, vol. 45(2).
    • Handle: RePEc:eee:ecosys:v:45:y:2021:i:2:s0939362520300765
    DOI: 10.1016/j.ecosys.2020.100769
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0939362520300765
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecosys.2020.100769?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alexander Chudik & M. Hashem Pesaran, 2016. "Theory And Practice Of Gvar Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 165-197, February.
    2. Pesaran, M. Hashem & Shin, Yongcheol & Smith, Richard J., 2000. "Structural analysis of vector error correction models with exogenous I(1) variables," Journal of Econometrics, Elsevier, vol. 97(2), pages 293-343, August.
    3. Tsionas, Efthymios G. & Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2016. "Bayesian GVAR with k-endogenous dominants & input–output weights: Financial and trade channels in crisis transmission for BRICs," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 1-26.
    4. Jarko Fidrmuc & Iikka Korhonen & Jitka Poměnkov�, 2014. "Wavelet spectrum analysis of business cycles of China and G7 countries," Applied Economics Letters, Taylor & Francis Journals, vol. 21(18), pages 1309-1313, December.
    5. Ludovic Gauvin & Cyril C. Rebillard, 2018. "Towards recoupling? Assessing the global impact of a Chinese hard landing through trade and commodity price channels," The World Economy, Wiley Blackwell, vol. 41(12), pages 3379-3415, December.
    6. Georgiadis, Georgios, 2016. "Determinants of global spillovers from US monetary policy," Journal of International Money and Finance, Elsevier, vol. 67(C), pages 41-61.
    7. Filippo di Mauro & L. Vanessa Smith & Stephane Dees & M. Hashem Pesaran, 2007. "Exploring the international linkages of the euro area: a global VAR analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 1-38.
    8. Canova, Fabio & Ciccarelli, Matteo, 2013. "Panel Vector Autoregressive Models: A Survey," CEPR Discussion Papers 9380, C.E.P.R. Discussion Papers.
    9. Fernández, Andrés & Schmitt-Grohé, Stephanie & Uribe, Martín, 2017. "World shocks, world prices, and business cycles: An empirical investigation," Journal of International Economics, Elsevier, vol. 108(S1), pages 2-14.
    10. Jaime Espinosa-Bowen & Mr. Nadeem Ilahi & Fahad Alturki, 2009. "How Russia Affects the Neighborhood - Trade, Financial, and Remittance Channels," IMF Working Papers 2009/277, International Monetary Fund.
    11. Gong, Chi & Kim, Soyoung, 2018. "Regional business cycle synchronization in emerging and developing countries: Regional or global integration? Trade or financial integration?," Journal of International Money and Finance, Elsevier, vol. 84(C), pages 42-57.
    12. Hajek, Jan & Horvath, Roman, 2018. "International spillovers of (un)conventional monetary policy: The effect of the ECB and the US Fed on non-euro EU countries," Economic Systems, Elsevier, vol. 42(1), pages 91-105.
    13. Alexander Chudik & M. Hashem Pesaran, 2013. "Econometric Analysis of High Dimensional VARs Featuring a Dominant Unit," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 592-649, August.
    14. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    15. Jesús Crespo Cuaresma & Gernot Doppelhofer & Martin Feldkircher & Florian Huber, 2019. "Spillovers from US monetary policy: evidence from a time varying parameter global vector auto‐regressive model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(3), pages 831-861, June.
    16. Feldkircher, Martin, 2015. "A global macro model for emerging Europe," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 706-726.
    17. Ms. Silvia Sgherri & Mr. Alessandro Galesi, 2009. "Regional Financial Spillovers Across Europe: A Global VAR Analysis," IMF Working Papers 2009/023, International Monetary Fund.
    18. Baxter, Marianne & Kouparitsas, Michael A., 2005. "Determinants of business cycle comovement: a robust analysis," Journal of Monetary Economics, Elsevier, vol. 52(1), pages 113-157, January.
    19. repec:zbw:bofitp:2014_005 is not listed on IDEAS
    20. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    21. Ductor, Lorenzo & Leiva-Leon, Danilo, 2016. "Dynamics of global business cycle interdependence," Journal of International Economics, Elsevier, vol. 102(C), pages 110-127.
    22. Feldkircher, Martin & Huber, Florian, 2016. "The international transmission of US shocks—Evidence from Bayesian global vector autoregressions," European Economic Review, Elsevier, vol. 81(C), pages 167-188.
    23. Smith, L. Vanessa & Yamagata, Takashi, 2011. "Firm level return–volatility analysis using dynamic panels," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 847-867.
    24. Fadejeva, Ludmila & Feldkircher, Martin & Reininger, Thomas, 2017. "International spillovers from Euro area and US credit and demand shocks: A focus on emerging Europe," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 1-25.
    25. Annari De Waal & Reneé van Eyden, 2016. "The Impact of Economic Shocks in the Rest of the World on South Africa: Evidence from a Global VAR," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(3), pages 557-573, March.
    26. Harahap, Berry & Bary, Pakasa & Panjaitan, Linda & Satyanugroho, Redianto, 2016. "Spillovers of United States and People’s Republic of China Shocks on Small Open Economies: The Case of Indonesia," ADBI Working Papers 616, Asian Development Bank Institute.
    27. Dreger, Christian & Zhang, Yanqun, 2014. "Does the economic integration of China affect growth and inflation in industrial countries?," Economic Modelling, Elsevier, vol. 38(C), pages 184-189.
    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. Oleksandr Faryna & Heli Simola, 2018. "The Transmission of International Shocks to CIS Economies: A Global VAR Approach," Working Papers 04/2018, National Bank of Ukraine.
    2. repec:zbw:bofitp:2018_017 is not listed on IDEAS
    3. Faryna, Oleksandr & Simola, Heli, 2018. "The transmission of international shocks to CIS economies: A Global VAR approach," BOFIT Discussion Papers 17/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    4. Samargandi, Nahla & Kutan, Ali M., 2016. "Private credit spillovers and economic growth: Evidence from BRICS countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 56-84.
    5. Simola, Heli, 2019. "Effects of external shocks on Russian economy," BOFIT Policy Briefs 4/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    6. Alexander Chudik & M. Hashem Pesaran, 2016. "Theory And Practice Of Gvar Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 165-197, February.
    7. Mala Raghavan & Faisal Khan & Sonia Kumari Selvarajan & Evelyn S. Devadason, 2023. "Cross‐country linkages between ASEAN and non‐ASEAN‐RCEP member states: A global VAR analysis," The World Economy, Wiley Blackwell, vol. 46(6), pages 1782-1814, June.
    8. Mala Raghavan & Faisal Khan & Evelyn S. Devadason, 2024. "Agri‐food trade channel and the ASEAN macroeconomic impacts from output and price shocks," Agricultural Economics, International Association of Agricultural Economists, vol. 55(1), pages 5-26, January.
    9. Cashin, Paul & Mohaddes, Kamiar & Raissi, Mehdi, 2017. "China's slowdown and global financial market volatility: Is world growth losing out?," Emerging Markets Review, Elsevier, vol. 31(C), pages 164-175.
    10. Kamiar Mohaddes & Mehdi Raissi, 2019. "The US oil supply revolution and the global economy," Empirical Economics, Springer, vol. 57(5), pages 1515-1546, November.
    11. Hajek, Jan & Horvath, Roman, 2018. "International spillovers of (un)conventional monetary policy: The effect of the ECB and the US Fed on non-euro EU countries," Economic Systems, Elsevier, vol. 42(1), pages 91-105.
    12. Considine, Jennifer & Hatipoglu, Emre & Aldayel, Abdullah, 2022. "The sensitivity of oil price shocks to preexisting market conditions: A GVAR analysis," Journal of Commodity Markets, Elsevier, vol. 27(C).
    13. Lastauskas, Povilas & Nguyen, Anh Dinh Minh, 2023. "Global impacts of US monetary policy uncertainty shocks," Journal of International Economics, Elsevier, vol. 145(C).
    14. Adam Traczyk, 2013. "Financial integration and the term structure of interest rates," Empirical Economics, Springer, vol. 45(3), pages 1267-1305, December.
    15. Martin Feldkircher & Gabriele Tondl, 2020. "Global Factors Driving Inflation and Monetary Policy: A Global VAR Assessment," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 26(3), pages 225-247, August.
    16. Sona Benecka & Ludmila Fadejeva & Martin Feldkircher, 2018. "Spillovers from Euro Area Monetary Policy: A Focus on Emerging Europe," Working Papers 2018/04, Latvijas Banka.
    17. Eickmeier, Sandra & Ng, Tim, 2015. "How do US credit supply shocks propagate internationally? A GVAR approach," European Economic Review, Elsevier, vol. 74(C), pages 128-145.
    18. Cashin, Paul & Mohaddes, Kamiar & Raissi, Mehdi, 2017. "Fair weather or foul? The macroeconomic effects of El Niño," Journal of International Economics, Elsevier, vol. 106(C), pages 37-54.
    19. Feldkircher, Martin & Gruber, Thomas & Huber, Florian, 2020. "International effects of a compression of euro area yield curves," Journal of Banking & Finance, Elsevier, vol. 113(C).
    20. Anna Sznajderska, 2019. "The role of China in the world economy: evidence from a global VAR model," Applied Economics, Taylor & Francis Journals, vol. 51(15), pages 1574-1587, March.
    21. Ludmila Fadejeva & Martin Feldkircher & Thomas Reininger, 2014. "International Transmission of Credit Shocks: Evidence from Global Vector Autoregression Model," Working Papers 2014/05, Latvijas Banka.

    More about this item

    Keywords

    International shocks; Cross-country spillovers; CIS; Global VAR;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:eee:ecosys:v:45:y:2021:i:2:s0939362520300765. 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: Catherine Liu (email available below). General contact details of provider: https://edirc.repec.org/data/osteide.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.