eprintid: 3585 rev_number: 9 eprint_status: archive userid: 69 dir: disk0/00/00/35/85 datestamp: 2016-10-10 15:59:21 lastmod: 2016-10-10 15:59:21 status_changed: 2016-10-10 15:59:21 type: article metadata_visibility: show creators_name: Saracco, Fabio creators_name: Di Clemente, Riccardo creators_name: Gabrielli, Andrea creators_name: Squartini, Tiziano creators_id: fabio.saracco@imtlucca.it creators_id: creators_id: creators_id: tiziano.squartini@imtlucca.it title: Detecting early signs of the 2007–2008 crisis in the world trade ispublished: pub subjects: H1 subjects: HC divisions: EIC full_text_status: public abstract: Since 2007, several contributions have tried to identify early-warning signals of the financial crisis. However, the vast majority of analyses has focused on financial systems and little theoretical work has been done on the economic counterpart. In the present paper we fill this gap and employ the theoretical tools of network theory to shed light on the response of world trade to the financial crisis of 2007 and the economic recession of 2008–2009. We have explored the evolution of the bipartite World Trade Web (WTW) across the years 1995–2010, monitoring the behavior of the system both before and after 2007. Our analysis shows early structural changes in the WTW topology: since 2003, the WTW becomes increasingly compatible with the picture of a network where correlations between countries and products are progressively lost. Moreover, the WTW structural modification can be considered as concluded in 2010, after a seemingly stationary phase of three years. We have also refined our analysis by considering specific subsets of countries and products: the most statistically significant early-warning signals are provided by the most volatile macrosectors, especially when measured on developing countries, suggesting the emerging economies as being the most sensitive ones to the global economic cycles. date: 2016 date_type: published publication: Scientific Reports volume: 6 publisher: Nature Publishing Group pagerange: 30286 id_number: doi:10.1038/srep30286 refereed: TRUE issn: 2045-2322 official_url: http://doi.org/10.1038/srep30286 referencetext: Hatzopoulos, V. & Iori, G. Information theoretic description of the e-Mid interbank market: implications for systemic risk. Report No. 12/04 (2012). Gabrieli, S. The microstructure of the money market before and after the financial crisis: a network perspective. CEIS Tor Vergata, Research Paper Series 9(1), 181 (2011). Roukny, T., Georg, C.-P. & Battiston, S. A network analysis of the evolution of the German interbank market. Research Centre of Deutsche Bundesbank - Discussion Papers Series, Report No. 22/2014 (2014). Squartini, T., van Lelyveld, I. & Garlaschelli, D. Early-warning signals of topological collapse in interbank networks. Sci. Rep. 3(3357), doi: 10.1038/srep03357 (2013). Erola, P., Diaz-Guilera, A., Gomez, S. & Arenas, A. Modeling international crisis synchronization in the World Trade Web. Netw. Heterog. Media 7(3), 385–397, doi: 10.3934/nhm.2012.7.385 (2012). Forum on The Impact of the Financial and Economic Crisis on World Trade and Trade Policy, 264–293, doi:10.1007/s10272-009-0305-z (2009). Gualdi, S., Cimini, G., Primicerio, K., Di Clemente, R. & Challet, D. Statistically similar portfolios and systemic risk. arXiv:1603.05914 (2016). International Monetary Fund. World Economic Outlook - Crisis and Recovery (2009). URL: http://www.imf.org/external/pubs/ft/weo/2009/01/pdf/text.pdf Date of access:31/06/2016. International Monetary Fund. World Economic Outlook - Rebalancing Growth (2010). URL: http://www.imf.org/external/pubs/ft/weo/2010/01/pdf/text.pdf Date of access:31/06/2016. International Monetary Fund. World Economic Outlook - Uneven Growth. Short- and Long-Term Factors (2015). URL: http://www.imf.org/external/pubs/ft/weo/2015/01/pdf/text.pdf Date of access:31/06/2016. Shelburne, R. C. The global financial crisis and its impact on trade: the world and the european emerging economies. United Nations Economic Commission for Europe - Discussion Papers Series 2 (2010). United Nations. The Global Social Crisis - Report on the World Social Situation (2011). URL: http://www.un.org/esa/socdev/rwss/docs/2011/rwss2011.pdf Date of access:31/06/2016. Babecky, J., Havranek, T., Mateju, J., Rusnak, M., Smidkova, K. & Vasicek, B. Early Warning Indicators of Economic Crises: Evidence from a Panel of 40 Developed Countries. Czech National Bank Working Paper Series 8 (2011). Furceri, D. & Mourougane, A. The effect of financial crisis on potential output: new empirical evidence from OECD countries. J. Macro. 34(3), doi: 10.1016/j.jmacro.2012.05.010 (2012). Hidalgo, C. A. & Hausmann, R. The building blocks of economic complexity. PNAS 106, 26, doi: 10.1073/pnas.0900943106 (2009). Hidalgo, C. A. & Hausmann, R. The Product Space Conditions the Development of Nations. Science 317, 5837 (2007). Tacchella, A., Cristelli, M., Caldarelli, G., Gabrielli, A. & Pietronero, L. A New Metrics for Countries’ Fitness and Products’ Complexity. Sci. Rep. 2(723), doi: 10.1038/srep00723 (2012). Cristelli, M., Gabrielli, A., Tacchella, A., Caldarelli, G. & Pietronero, L. Measuring the intangibles: a metrics for the economic complexity of countries and products. PLoS ONE 8(8), e70726, doi: 10.1371/journal.pone.0070726 (2013). Saracco, F., Di Clemente, R., Gabrielli, A. & Squartini, T. Randomizing bipartite networks: the case of the World Trade Web. Sci. Rep. 5(10595), doi: 10.1038/srep10595 (2015). Gaulier, S. Baci: International trade database at the product-level. URL: http://www.cepii.fr/anglaisgraph/workpap/pdf/2010/wp2010-23.pdf. Date of access:31/06/2016. http://www.wcoomd.org/ Date of access:31/06/2016. http://www.unstats.un.org/unsd/cr/registry/regcst.asp?Cl=8 Date of access:31/06/2016. http://www.macalester.edu/research/economics/PAGE/HAVEMAN/Trade.Resources/TradeConcordances.html#FromISIC Date of access:31/06/2016. Squartini, T. & Garlaschelli, D. Analytical maximum-likelihood method to detect patterns in real networks, New. J. Phys. 13, 083001 (2011). Newman, M. E. J. The structure and function of complex networks. SIAM Rev. 45, 167 (2003). Park, J. & Newman, M. E. J. The statistical mechanics of networks. Phys. Rev. E 70, 066117 (2004). Fronczak, A. Exponential random graph model. Encyclopedia of Social Network Analysis and Mining, Springer-Verlag (2014). Reinhart, C. M. & Rogoff, K. S. The Aftermath of Financial Crises. Amer. Econ. Rev. 99(2), 466–472 (2009). Levchenko, A., Lewis, L. T. & Tesar, L. L. The collapse of international trade during the 2008-09 crisis: in search of the smoking gun. IMF Econ. Rev. 58(2), 214–253 (2010). International Monetary Fund. Changing Patterns of Global Trade (2012). URL: https://www.imf.org/external/pubs/ft/dp/2012/dp1201.pdf Date of access:31/06/2016. World Economic Forum. Building Resilience in Supply Chains (2013). URL: http://www3.weforum.org/docs/WEF_RRN_MO_BuildingResilienceSupplyChains_Report_2013.pdf Date of access:31/06/2016. French, S., Leyshon, A. & Thrift, N. A very geographical crisis: the making and breaking of the 2007–2008 financial crisis. Camb. J. Reg. Econ. Soc. (2009). Popescu, M. L., Predescu, A. & Oancea-Negescu, M. Impact of Economic Crisis on Wood Markets (Consumption, Production and Trade). The USV Annals of Economics and Public Administration 13(2) (2013). Headey, D. & Fan, S. Anatomy of a crisis: the causes and consequences of surging food prices. Agr. Econ. 39, 375–391 (2008). Headey, D. The Impact of the Global Food Crisis on Self-Assessed Food Security. The World Bank, doi: 10.1596/1813-9450-6329 (2013). The Centre for International Governance Innovation. The effect of the world financial crisis on developing countries: an initial assessment (2009). URL: https://www.cigionline.org/sites/default/files/task_force_1.pdf Date of access:31/06/2016. Gurtner, B. La crise economico-financiere et les pays en developpement. International Development Policy 1, doi: 10.4000/poldev.131 (2010). Di Clemente, R., Chiarotti, G. L., Cristelli, M., Tacchella, A. & Pietronero, L. Diversification versus Specialization in Complex Ecosystems. PLoS ONE 9(11), e112525, doi: 10.1371/journal.pone.0112525 (2014). Saracco, F., Di Clemente, R., Gabrielli, A. & Pietronero, L. From innovation to diversification: a simple competitive model. PLoS ONE 11(10), e0140420, doi: 10.1371/journal.pone.0140420 (2015). Brazys, S. & Regan, A. These Little PIIGS Went to Market: Enterprise Policy and Divergent Recovery in European Periphery. UCD Geary Institute for Public Policy - Discussion Paper Series URL: http://www.ucd.ie/geary/static/publications/workingpapers/gearywp201517.pdf Date of access:31/06/2016 (2015). Cimini, G., Zaccaria, A. & Gabrielli, A. Investigating the interplay between fundamentals of national research systems: performance, investments and international collaborations. J. of Informetrics 10(1), 200–211, doi: 10.1016/j.joi.2016.01.002 (2016). O’Neill, J., Wilson, D., Purushothaman, R. & Stupnytska, A. How solid are the BRICs. Global Economics Paper No: 134 (2005). Almeida-Neto, M., Guimaraes, P., Guimaraes, P. R. Jr., Loyola, R. D. & Ulrich, W. A consistent metric for nestedness analysis in ecological systems: reconciling concept and measurement. Oikos 8(117), 1227–1239 (2008). Bastolla, U., Fortuna, M. A., Pascual-Garcia, A., Ferrera, A., Luque, B. & Bascompte, J. The architecture of mutualistic networks minimizes competition and increases biodiversity. Nature 7241(458), 1018–1020 (2009). Staniczenko, P. P. A., Kopp, J. & Allesina, S. The ghost of nestedness in ecological networks. Nat. Comm. 4(139), doi: 10.1038/ncomms2422 (2013). Jonhson, S., Dominguez-Garcia, V. & Munoz, M. A. Factors Determining Nestedness in Complex Networks. PLoS ONE 8(9), doi: 10.1371/journal.pone.0074025 (2013). Newman, M. E. J. Assortative mixing in networks. Phys. Rev. Lett. 89, 208701 (2002). Squartini, T. & Garlaschelli, D. Stationarity, non-stationarity and early warning signals in economic networks. J. Complex Netw. 3(1), 1–21 (2015). Squartini, T., Mastrandrea, R. & Garlaschelli, D. Unbiased sampling of network ensembles. New J. Phys. 17, 023052 (2015). Milo, R., Itzkovitz, S., Kashtan, N., Levitt, R., Shen-Orr, S., Ayzenshtat, I., Sheffer, M. & Alon, U. Superfamilies of evolved and designed networks. Science 303, 1538–1542 (2004). Zhang, Y., Phillips, C. A., Rogers, G. L., Baker, E. J., Chesler, E. J. & Langston, M. A. On finding bicliques in bipartite graphs: a novel algorithm and its application to the integration of diverse biological data types. BMC Bioinformatics 15(15) (2014). projects: EU project GROWTHCOM (611272) projects: Italian PNR project CRISIS-Lab projects: EU project SIMPOL (grant num. 610704) citation: Saracco, Fabio and Di Clemente, Riccardo and Gabrielli, Andrea and Squartini, Tiziano Detecting early signs of the 2007–2008 crisis in the world trade. Scientific Reports, 6. p. 30286. ISSN 2045-2322 (2016) document_url: http://eprints.imtlucca.it/3585/1/srep30286.pdf