IDEAS home Printed from https://ideas.repec.org/a/rse/wpaper/v5y2013i1p179-189.html
   My bibliography  Save this article

Global macroeconomic interdependence: a minimum spanning tree approach

Author

Listed:
  • Tiago Trancoso

    (Lusiada University and Instituto Politecnico de Viana do Castelo)

Abstract

This paper measures the evolution of the interdependence level of the global economic system using a novel approach that combines network analysis and time-varying correlations. A Scalar-BEKK model is employed to determine the dynamic conditional bilateral correlations of 102 economies for the period 1952-2011. A subdominant ultrametric space is then defined for each year by applying a single-link cluster analysis to filter and highlight first-order connections in the network. I find the core of the global economic network to be dominated by advanced economies while the periphery is composed by nearly all of the developing economies and some of the emergent market economies; France occupies the central hub of the network, which coincides with recent findings from studies on European financial markets. I also find that the global macroeconomic interdependence rose over 61 percents between 1952-2011, which is in line with the majority of the empirical research on business cycle synchronization; however, this paper reveals an accelerating convergence process during the phase 1996-2011 that exceeds results from previous studies.

Suggested Citation

  • Tiago Trancoso, 2013. "Global macroeconomic interdependence: a minimum spanning tree approach," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 5(1), pages 179-189, June.
  • Handle: RePEc:rse:wpaper:v:5:y:2013:i:1:p:179-189
    as

    Download full text from publisher

    File URL: http://reaser.eu/RePec/rse/wpaper/R5_21_Trancoso_p179_189.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brian M. Doyle & Jon Faust, 2005. "Breaks in the Variability and Comovement of G-7 Economic Growth," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 721-740, November.
    2. Michael Artis & George Chouliarakis & P. K. G. Harischandra, 2011. "Business Cycle Synchronization Since 1880," Manchester School, University of Manchester, vol. 79(2), pages 173-207, March.
    3. Canova, Fabio & Ciccarelli, Matteo & Ortega, Eva, 2007. "Similarities and convergence in G-7 cycles," Journal of Monetary Economics, Elsevier, vol. 54(3), pages 850-878, April.
    4. Ambler, Steve & Cardia, Emanuela & Zimmermann, Christian, 2004. "International business cycles: What are the facts?," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 257-276, March.
    5. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    6. Glick, Reuven & Rogoff, Kenneth, 1995. "Global versus country-specific productivity shocks and the current account," Journal of Monetary Economics, Elsevier, vol. 35(1), pages 159-192, February.
    7. Antonakakis, Nikolaos, 2012. "Business cycle synchronization during US recessions since the beginning of the 1870s," Economics Letters, Elsevier, vol. 117(2), pages 467-472.
    8. Massimiliano Caporin & Michael McAleer, 2008. "Scalar BEKK and indirect DCC," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 537-549.
    9. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    10. Jean Imbs, 2010. "The First Global Recession in Decades," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 58(2), pages 327-354, December.
    11. Michael D. Bordo & Thomas F. Helbling, 2011. "International Business Cycle Synchronization In Historical Perspective," Manchester School, University of Manchester, vol. 79(2), pages 208-238, March.
    12. Gilmore, Claire G. & Lucey, Brian M. & Boscia, Marian W., 2010. "Comovements in government bond markets: A minimum spanning tree analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4875-4886.
    13. Gregory, Allan W. & Head, Allen C., 1999. "Common and country-specific fluctuations in productivity, investment, and the current account," Journal of Monetary Economics, Elsevier, vol. 44(3), pages 423-451, December.
    14. Miśkiewicz, Janusz & Ausloos, Marcel, 2010. "Has the world economy reached its globalization limit?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(4), pages 797-806.
    15. Nikolaos Antonakakis & Johann Scharler, 2012. "The synchronization of GDP growth in the G7 during US recessions," Applied Economics Letters, Taylor & Francis Journals, vol. 19(1), pages 7-11, January.
    16. Anirvan Banerji & Pami Dua, 2010. "Synchronisation of Recessions in Major Developed and Emerging Economies," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(2), pages 197-223, May.
    17. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    18. Gilmore, Claire G. & Lucey, Brian M. & Boscia, Marian, 2008. "An ever-closer union? Examining the evolution of linkages of European equity markets via minimum spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(25), pages 6319-6329.
    19. Eryiğit, Mehmet & Eryiğit, Resul, 2009. "Network structure of cross-correlations among the world market indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3551-3562.
    20. Mario Crucini & Ayhan Kose & Christopher Otrok, 2011. "What are the driving forces of international business cycles?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 156-175, January.
    21. David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2011. "Measuring globalization: A hierarchical network approach," CREMA Working Paper Series 2011-11, Center for Research in Economics, Management and the Arts (CREMA).
    22. Ayhan Kose, M. & Otrok, Christopher & Whiteman, Charles H., 2008. "Understanding the evolution of world business cycles," Journal of International Economics, Elsevier, vol. 75(1), pages 110-130, May.
    23. Vladimir Kuzin & Martin Hillebrand, 2009. "Global Business Cycles: Degree of Synchronization in the Current Downturn Is Unprecedented," Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 5(27), pages 188-192.
    24. Hansen, Bruce E, 1997. "Approximate Asymptotic P Values for Structural-Change Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 60-67, January.
    25. Coelho, Ricardo & Gilmore, Claire G. & Lucey, Brian & Richmond, Peter & Hutzler, Stefan, 2007. "The evolution of interdependence in world equity markets—Evidence from minimum spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 455-466.
    26. Tumminello, Michele & Lillo, Fabrizio & Mantegna, Rosario N., 2010. "Correlation, hierarchies, and networks in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(1), pages 40-58, July.
    27. Moneta, Fabio & Rüffer, Rasmus, 2009. "Business cycle synchronisation in East Asia," Journal of Asian Economics, Elsevier, vol. 20(1), pages 1-12, January.
    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. Trancoso, Tiago, 2014. "Emerging markets in the global economic network: Real(ly) decoupling?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 499-510.

    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. Trancoso, Tiago, 2014. "Emerging markets in the global economic network: Real(ly) decoupling?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 499-510.
    2. David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2011. "Measuring globalization: A hierarchical network approach," CREMA Working Paper Series 2011-11, Center for Research in Economics, Management and the Arts (CREMA).
    3. David Matesanz Gomez & Benno Torgler & Guillermo J. Ortega, 2013. "Measuring Global Economic Interdependence: A Hierarchical Network Approach," The World Economy, Wiley Blackwell, vol. 36(12), pages 1632-1648, December.
    4. Antonakakis, Nikolaos, 2012. "Business cycle synchronization during US recessions since the beginning of the 1870s," Economics Letters, Elsevier, vol. 117(2), pages 467-472.
    5. António M Lopes & J A Tenreiro Machado & John S Huffstot & Maria Eugénia Mata, 2018. "Dynamical analysis of the global business-cycle synchronization," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-25, February.
    6. Antonakakis, Nikolaos & Gogas, Periklis & Papadimitriou, Theophilos & Sarantitis, Georgios Antonios, 2016. "International business cycle synchronization since the 1870s: Evidence from a novel network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 286-296.
    7. Samitas, Aristeidis & Kampouris, Elias & Polyzos, Stathis, 2022. "Covid-19 pandemic and spillover effects in stock markets: A financial network approach," International Review of Financial Analysis, Elsevier, vol. 80(C).
    8. Ayhan Kose, M. & Otrok, Christopher & Whiteman, Charles H., 2008. "Understanding the evolution of world business cycles," Journal of International Economics, Elsevier, vol. 75(1), pages 110-130, May.
    9. Samitas, Aristeidis & Kampouris, Elias & Kenourgios, Dimitris, 2020. "Machine learning as an early warning system to predict financial crisis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    10. Carlos León & Geun-Young Kim & Constanza Martínez & Daeyup Lee, 2017. "Equity markets’ clustering and the global financial crisis," Quantitative Finance, Taylor & Francis Journals, vol. 17(12), pages 1905-1922, December.
    11. Hideaki Hirata & M. Ayhan Kose & Chris Otrok, "undated". "Regionalization vs. Globalization," Working Paper 164456, Harvard University OpenScholar.
    12. Tao You & Paweł Fiedor & Artur Hołda, 2015. "Network Analysis of the Shanghai Stock Exchange Based on Partial Mutual Information," JRFM, MDPI, vol. 8(2), pages 1-19, June.
    13. David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2012. "Synchronization and Diversity in Business Cycles: A Network Approach Applied to the European Union," CREMA Working Paper Series 2012-01, Center for Research in Economics, Management and the Arts (CREMA).
    14. Wang, Gang-Jin & Xie, Chi, 2015. "Correlation structure and dynamics of international real estate securities markets: A network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 176-193.
    15. N. Antonakakis & H. Badinger, 2014. "International business cycle spillovers since the 1870s," Applied Economics, Taylor & Francis Journals, vol. 46(30), pages 3682-3694, October.
    16. David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2012. "Synchronization and Diversity in Business Cycles: A Network Approach Applied to the European Union," CREMA Working Paper Series 2012-01, Center for Research in Economics, Management and the Arts (CREMA).
    17. Sandoval, Leonidas, 2014. "To lag or not to lag? How to compare indices of stock markets that operate on different times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 403(C), pages 227-243.
    18. Jean Boivin & Marc P. Giannoni, 2007. "Global Forces and Monetary Policy Effectiveness," NBER Chapters, in: International Dimensions of Monetary Policy, pages 429-478, National Bureau of Economic Research, Inc.
    19. Nikolaos Antonakakis & Johann Scharler, 2012. "The synchronization of GDP growth in the G7 during US recessions," Applied Economics Letters, Taylor & Francis Journals, vol. 19(1), pages 7-11, January.
    20. Broadstock, David C. & Cao, Hong & Zhang, Dayong, 2012. "Oil shocks and their impact on energy related stocks in China," Energy Economics, Elsevier, vol. 34(6), pages 1888-1895.

    More about this item

    Keywords

    macroeconomic interdependence; global convergence; international business cycles; network analysis; dynamic correlations;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:rse:wpaper:v:5:y:2013:i:1:p:179-189. 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: Manuela Epure (email available below). General contact details of provider: https://edirc.repec.org/data/pgsaaea.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.