IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v50y2017icp49-64.html
   My bibliography  Save this article

Exploring international linkages using generalised connectedness measures: The case of Korea

Author

Listed:
  • Park, Hail
  • Shin, Yongcheol

Abstract

Korea is a textbook example of a small open economy which is susceptible to conditions overseas but cannot affect them itself. Policymakers in Korea would therefore naturally benefit from an enriched understanding of the connections that exist between the Korean and global economies. We provide a detailed summary of these linkages using the generalised connectedness methodology introduced by Greenwood-Nimmo et al. (2015). Among our principal findings is the observation that domestic conditions are only generally important in the short to medium term, with overseas conditions exerting a dominant influence on Korea's economic prospects in the long run. The economy which exerts the strongest effect on Korea is the US, with a considerable role also played by global energy markets. Furthermore, we find that the global financial crisis is associated with greater connectedness of the Korean economy with advanced economies and its reduced connectedness with emerging economies.

Suggested Citation

  • Park, Hail & Shin, Yongcheol, 2017. "Exploring international linkages using generalised connectedness measures: The case of Korea," International Review of Economics & Finance, Elsevier, vol. 50(C), pages 49-64.
  • Handle: RePEc:eee:reveco:v:50:y:2017:i:c:p:49-64
    DOI: 10.1016/j.iref.2017.03.029
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056017302708
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2017.03.029?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. 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.
    2. Pesaran, Mohammad Hashem & Holly, Sean & Dees, Stephane & Smith, L. Vanessa, 2007. "Long Run Macroeconomic Relations in the Global Economy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-20.
    3. Matthew Greenwood‐Nimmo & Viet Hoang Nguyen & Yongcheol Shin, 2012. "Probabilistic forecasting of output growth, inflation and the balance of trade in a GVAR framework," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(4), pages 554-573, June.
    4. Bussière, Matthieu & Chudik, Alexander & Sestieri, Giulia, 2009. "Modelling global trade flows: results from a GVAR model," Working Paper Series 1087, European Central Bank.
    5. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    6. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    7. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
    8. M. Hashem Pesaran & Ron Smith, 2006. "Macroeconometric Modelling With A Global Perspective," Manchester School, University of Manchester, vol. 74(s1), pages 24-49, September.
    9. Jared Laxton & Igor Ermolaev & Charles Freedman & Mr. Ondrej Kamenik & Michel Juillard & Mr. Douglas Laxton & Ioan Carabenciov & Dmitry Korshunov, 2008. "A Small Quarterly Multi-Country Projection Model," IMF Working Papers 2008/279, International Monetary Fund.
    10. Ms. Silvia Sgherri & Mr. Alessandro Galesi, 2009. "Regional Financial Spillovers Across Europe: A Global VAR Analysis," IMF Working Papers 2009/023, International Monetary Fund.
    11. Matthew Greenwood-Nimmo & Viet Hoang Nguyen, 2015. "Measuring the Connectedness of the Global Economy," Melbourne Institute Working Paper Series wp2015n07, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    12. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Song, Wonho & Park, Sung Y. & Ryu, Doojin, 2018. "Dynamic conditional relationships between developed and emerging markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 534-543.

    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. Hail Park & Yongcheol Shin, 2014. "Mapping Korea's International Linkages using Generalised Connectedness Measures," Working Papers 2014-16, Economic Research Institute, Bank of Korea.
    2. Chisiridis, Konstantinos & Mouratidis, Kostas & Panagiotidis, Theodore, 2022. "The north-south divide, the euro and the world," Journal of International Money and Finance, Elsevier, vol. 121(C).
    3. Deniz Sevinc & Edgar Mata Flores, 2021. "Macroeconomic and financial implications of multi‐dimensional interdependencies between OECD countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 741-776, January.
    4. 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.
    5. Allegret, Jean-Pierre & Sallenave, Audrey, 2014. "The impact of real exchange rates adjustments on global imbalances: A multilateral approach," Economic Modelling, Elsevier, vol. 37(C), pages 149-163.
    6. Feldkircher, Martin, 2015. "A global macro model for emerging Europe," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 706-726.
    7. Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2014. "Transmission of the debt crisis: From EU15 to USA or vice versa? A GVAR approach," Journal of Economics and Business, Elsevier, vol. 76(C), pages 115-132.
    8. Koukouritakis, Minoas & Papadopoulos, Athanasios P. & Yannopoulos, Andreas, 2015. "Linkages between the Eurozone and the South-Eastern European countries: A global VAR analysis," Economic Modelling, Elsevier, vol. 48(C), pages 129-154.
    9. Donal Smith, 2016. "The International Impact of Financial Shocks: A Global VAR and Connectedness Measures Approach," Discussion Papers 16/07, Department of Economics, University of York.
    10. Mr. Jorge I Canales Kriljenko & Mehdi Hosseinkouchack & Alexis Meyer-Cirkel, 2014. "Global Financial Transmission into Sub-Saharan Africa – A Global Vector Autoregression Analysis," IMF Working Papers 2014/241, International Monetary Fund.
    11. Bettendorf, Timo, 2017. "Investigating Global Imbalances: Empirical evidence from a GVAR approach," Economic Modelling, Elsevier, vol. 64(C), pages 201-210.
    12. Matthew Greenwood-Nimmo & Viet Hoang Nguyen & Yongcheol Shin, 2012. "International Linkages of the Korean Economy: The Global Vector Error-Correcting Macroeconometric Modelling Approach," Melbourne Institute Working Paper Series wp2012n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    13. 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.
    14. Ekeocha, Patterson & Ogbuabor, Jonathan, 2020. "Measuring and Evaluating the Dynamics of Trade Shock Propagation in the Oceania," Conference papers 333234, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    15. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Tsionas, Efthymios G. & Minou, Chrysanthi, 2015. "System estimation of GVAR with two dominants and network theory: Evidence for BRICs," Economic Modelling, Elsevier, vol. 51(C), pages 604-616.
    16. Matkovskyy, Roman, 2012. "Прогнозування Реакції Економіки України На Економічні Шоки В Сусідніх Державах: Глобальна Векторна Авторегресійна Модель «Україна-Сусіди» [Forecasting the Responses of Ukraine to Economic Shocks in," MPRA Paper 44717, University Library of Munich, Germany, revised Nov 2012.
    17. Konstantinos N. Konstantakis & Panayotis G. Michaelides & Livia Chatzieleftheriou & Arsenios‐Georgios N. Prelorentzos, 2022. "Crisis and the Chinese miracle: A network—GVAR model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 900-921, July.
    18. Xu, T.T., 2012. "The role of credit in international business cycles," Cambridge Working Papers in Economics 1202, Faculty of Economics, University of Cambridge.
    19. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt dynamics in Europe: A Network General Equilibrium GVAR approach," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 175-202.
    20. Skouralis, Alexandros, 2021. "The role of systemic risk spillovers in the transmission of Euro Area monetary policy," ESRB Working Paper Series 129, European Systemic Risk Board.

    More about this item

    Keywords

    Small open economy of Korea; Global VAR; Forecast error variance decomposition; Generalised connectedness measures;
    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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

    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:reveco:v:50:y:2017:i:c:p:49-64. 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: http://www.elsevier.com/locate/inca/620165 .

    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.