David Matesanz Gómez
(David Matesanz Gomez)

Personal Details

First Name:	David
Middle Name:	Matesanz
Last Name:	Gomez
Suffix:
RePEc Short-ID:	pgm9
	34 985104847

Affiliation

Departamento de Economía Aplicada
Facultad de Economía y Empresa
Universidad de Oviedo

Oviedo, Spain
http://ecoapli.uniovi.es/
RePEc:edi:daovies (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. 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).

   Cited by:

   1. Ana Rodríguez-Santiago, 2019. "What has Changed After the Great Recession on the European Cyclical Patterns?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 15(2), pages 121-146, December.
   2. Dias, João, 2017. "Unemployment and sovereign debt crisis in the Eurozone: A k-means-r analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 108-117.
   3. Martin Feldkircher, 2013. "A Global Macro Model for Emerging Europe," Working Papers 185, Oesterreichische Nationalbank (Austrian Central Bank).
      • Feldkircher, Martin, 2015. "A global macro model for emerging Europe," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 706-726.
   4. Kurowski, Łukasz & Rogowicz, Karol, 2018. "Are business and credit cycles synchronised internally or externally?," Economic Modelling, Elsevier, vol. 74(C), pages 124-141.
   5. Theophilos Papadimitriou & Periklis Gogas & Georgios Sarantitis, 2016. "Convergence of European Business Cycles: A Complex Networks Approach," Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 97-119, February.
      • Theophilos Papadimitriou & Periklis Gogas & Georgios-Antonios Sarantitis, 2014. "Convergence of European Business Cycles: A Complex Networks Approach," Working Paper series 35_14, Rimini Centre for Economic Analysis.
   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.
      • Antonakakis, Nikolaos & Gogas, Periklis & Papadimitriou, Theophilos & Sarantitis, Georgios, 2015. "International Business Cycle Synchronization Since the 1870s: Evidence from a Novel Network Approach," DUTH Research Papers in Economics 2-2015, Democritus University of Thrace, Department of Economics.
      • Antonakakis, Nikolaos & Gogas, Periklis & Papadimitriou, Theophilos & Sarantitis, Georgios, 2015. "International Business Cycle Synchronization since the 1870s: Evidence from a Novel Network Approach," MPRA Paper 67223, University Library of Munich, Germany.
   7. Matesanz, David & Ortega, Guillermo J., 2015. "Sovereign public debt crisis in Europe. A network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 756-766.
   8. Matesanz, David & Ortega, Guillermo J., 2016. "On business cycles synchronization in Europe: A note on network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 287-296.

2. David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler & German Dabat, 2011. "Co-movements in commodity prices: A note based on network analysis," CREMA Working Paper Series 2011-21, Center for Research in Economics, Management and the Arts (CREMA).
   • David Matesanz & Benno Torgler & Germán Dabat & Guillermo J. Ortega, 2014. "Co-movements in commodity prices: a note based on network analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 13-21, November.

   Cited by:

   1. Sipan Aslan & Ceylan Yozgatligil & Cem Iyigun, 2018. "Temporal clustering of time series via threshold autoregressive models: application to commodity prices," Annals of Operations Research, Springer, vol. 260(1), pages 51-77, January.
   2. Vásquez Cordano, Arturo L. & Zellou, Abdel M., 2020. "Super cycles in natural gas prices and their impact on Latin American energy and environmental policies," Resources Policy, Elsevier, vol. 65(C).
   3. Rodriguez, Diego & Gonzalez, Andres & Fernandez, Andres, 2015. "Sharing a Ride on the Commodities Roller Coaster: Common Factors in Business Cycles of Emerging Economies," IDB Publications (Working Papers) 7382, Inter-American Development Bank.
      • Andrés Fernández & Andrés González & Diego Rodríguez, 2015. "Sharing a Ride on the Commodities Roller Coaster: Common Factors in Business Cycles of Emerging Economies," Borradores de Economia 915, Banco de la Republica de Colombia.
      • Andrés Fernández & Andres Gonzalez & Diego Rodriguez, 2015. "Sharing a Ride on the Commodities Roller Coaster: Common Factors in Business Cycles of Emerging Economies," IMF Working Papers 2015/280, International Monetary Fund.
      • Fernández, Andrés & González, Andrés & Rodríguez, Diego, 2018. "Sharing a ride on the commodities roller coaster: Common factors in business cycles of emerging economies," Journal of International Economics, Elsevier, vol. 111(C), pages 99-121.
      • Andrés Fernández & Andrés González & Diego Rodríguez, 2015. "Sharing a Ride on the Commodities Roller Coaster: Common Factors in Business Cycles of Emerging Economies," Borradores de Economia 14054, Banco de la Republica.
   4. Chen, Peng, 2015. "Global oil prices, macroeconomic fundamentals and China's commodity sector comovements," Energy Policy, Elsevier, vol. 87(C), pages 284-294.
   5. 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.
   6. Cai, Guixin & Zhang, Hao & Chen, Ziyue, 2019. "Comovement between commodity sectors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1247-1258.
   7. Ren, Yinghua & Tan, Anqi & Zhu, Huiming & Zhao, Wanru, 2022. "Does economic policy uncertainty drive nonlinear risk spillover in the commodity futures market?," International Review of Financial Analysis, Elsevier, vol. 81(C).
   8. Choi, Insu & Kim, Woo Chang, 2024. "Practical forecasting of risk boundaries for industrial metals and critical minerals via statistical machine learning techniques," International Review of Financial Analysis, Elsevier, vol. 94(C).
   9. Tokic, Damir, 2015. "The 2014 oil bust: Causes and consequences," Energy Policy, Elsevier, vol. 85(C), pages 162-169.
   10. Chen, Peng & He, Limin & Yang, Xuan, 2021. "On interdependence structure of China's commodity market," Resources Policy, Elsevier, vol. 74(C).
   11. Matesanz, David & Ortega, Guillermo J., 2015. "Sovereign public debt crisis in Europe. A network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 756-766.
   12. Algirdas Justinas Staugaitis & Bernardas Vaznonis, 2022. "Short-Term Speculation Effects on Agricultural Commodity Returns and Volatility in the European Market Prior to and during the Pandemic," Agriculture, MDPI, vol. 12(5), pages 1-26, April.
   13. Zhang, Tianding & Du, Tianwen & Li, Jie, 2020. "The impact of China's macroeconomic determinants on commodity prices," Finance Research Letters, Elsevier, vol. 36(C).
   14. Pereira, Hernane Borges de Barros & Rosário, Raphael Silva do & Pereira, Eder Johnson de Area Leão & Moreira, Davidson Martins & Ferreira, Paulo & Miranda, José Garcia Vivas, 2022. "Network dynamic and stability on European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
   15. Hu, Min & Zhang, Dayong & Ji, Qiang & Wei, Lijian, 2020. "Macro factors and the realized volatility of commodities: A dynamic network analysis," Resources Policy, Elsevier, vol. 68(C).

3. 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).

   Cited by:

   1. David Matesanz & Benno Torgler & Germán Dabat & Guillermo J. Ortega, 2014. "Co-movements in commodity prices: a note based on network analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 13-21, November.
      • David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler & German Dabat, 2011. "Co-movements in commodity prices: A note based on network analysis," CREMA Working Paper Series 2011-21, Center for Research in Economics, Management and the Arts (CREMA).
   2. 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.

4. Fugarolas Álvarez-Ude, Guadalupe & Mañalich Gálvez, Isis & Matesanz Gómez, David, 2008. "Empirical Evidence Of The Balance Of Payments Constrained Growth In Cuba. The Effects Of Comercial Regimes Since 1960," MPRA Paper 6993, University Library of Munich, Germany.

   Cited by:

   1. Ahmad Jafari Samimi & Ramezan Hosseinzadeh, 2011. "Foreign Trade and Economic Growth: Evidence of Thirlwall’s Law in Iran," Journal of Social and Development Sciences, AMH International, vol. 2(2), pages 81-88.
   2. Juan Carlos Palacios Cívico, 2022. "Openness processes and new subjectivities: Analysis of the Cuban case," Development Policy Review, Overseas Development Institute, vol. 40(2), March.

5. Matesanz, David & Ortega, Guillermo J., 2008. "Network analysis of exchange data: Interdependence drives crisis contagion," MPRA Paper 7720, University Library of Munich, Germany.
   • David Matesanz & Guillermo Ortega, 2014. "Network analysis of exchange data: interdependence drives crisis contagion," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 1835-1851, July.

   Cited by:

   1. Chun-Xiao Nie, 2021. "Studying the correlation structure based on market geometry," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(2), pages 411-441, April.
   2. Laleh Tafakori & Armin Pourkhanali & Riccardo Rastelli, 2022. "Measuring systemic risk and contagion in the European financial network," Empirical Economics, Springer, vol. 63(1), pages 345-389, July.
   3. Daniel Danau, 2018. "Prudence and preference for flexibility gain," Working Papers hal-01806743, HAL.
      • Daniel Danau, 2018. "Prudence and preference for flexibility gain," Economics Working Paper Archive (University of Rennes & University of Caen) 2018-05, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS, revised May 2019.
      • Danau, Daniel, 2020. "Prudence and preference for flexibility gain," European Journal of Operational Research, Elsevier, vol. 287(2), pages 776-785.
      • Daniel Danau, 2020. "Prudence and preference for flexibility gain," Post-Print hal-02893487, HAL.
      • Daniel Danau, 2017. "Prudence and preference for flexibility gain," Economics Working Paper Archive (University of Rennes & University of Caen) 2017-05, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS, revised Nov 2017.
   4. Mr. Alexei P Kireyev & Andrei Leonidov, 2016. "A Network Model of Multilaterally Equilibrium Exchange Rates," IMF Working Papers 2016/130, International Monetary Fund.
      • Kireyev, A., 2019. "A Network Model of Multilateral Equilibrium Exchange Rates," Journal of the New Economic Association, New Economic Association, vol. 41(1), pages 12-33.
   5. Esmalifalak, Hamidreza, 2022. "Euclidean (dis)similarity in financial network analysis," Global Finance Journal, Elsevier, vol. 53(C).
   6. Mengdi Song, 2018. "Network Effects of Countries’ Exchange Rate Regime Choices: A Spatial Analysis," Open Economies Review, Springer, vol. 29(5), pages 1061-1093, November.
   7. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
   8. Ren, Yinghua & Zhao, Wanru & You, Wanhai & Zhai, Kaikai, 2021. "Multiscale and partial correlation networks analysis of risk connectedness in global equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
   9. Xie Chi & Zhou Yingying & Wang Gangjin & Yan Xinguo, 2017. "Investigating the Disparities of China’s Insurance Market Based on Minimum Spanning Tree from the Viewpoint of Geography and Enterprise," Journal of Systems Science and Information, De Gruyter, vol. 5(3), pages 216-228, June.
   10. Tan Le & Franck Martin & Duc Nguyen, 2018. "Dynamic connectedness of global currencies: a conditional Granger-causality approach," Working Papers hal-01806733, HAL.
       • Tan T. M. Le & Franck Martin & Duc K. Nguyen, 2018. "Dynamic connectedness of global currencies: a conditional Granger-causality approach," Economics Working Paper Archive (University of Rennes & University of Caen) 2018-04, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
   11. Xu, Helian & Cheng, Long, 2016. "The QAP weighted network analysis method and its application in international services trade," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 91-101.
   12. Gang-Jin Wang & Chi Xie & H. Eugene Stanley, 2018. "Correlation Structure and Evolution of World Stock Markets: Evidence from Pearson and Partial Correlation-Based Networks," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 607-635, March.
   13. Ling, Yu-Xiu & Xie, Chi & Wang, Gang-Jin, 2022. "Interconnectedness between convertible bonds and underlying stocks in the Chinese capital market: A multilayer network perspective," Emerging Markets Review, Elsevier, vol. 52(C).

6. Fugarolas, Guadalupe & Mañalich, Isis & Matesanz, David, 2007. "Are Exports Causing Growth? Evidence On International Trade Expansion In Cuba, 1960-2004," MPRA Paper 6323, University Library of Munich, Germany.

   Cited by:

   1. Kishor K. Guru-Gharana & Matiur Rahman & Anisul M. Islam, 2021. "Japan s Stock Market Performance: Evidence from Toda-Yamamoto and Dolado-Lutkepohl Tests for Multivariate Granger Causality," International Journal of Economics and Financial Issues, Econjournals, vol. 11(3), pages 107-122.
   2. Debi Prasad Bal & Badri Narayan Rath, 2016. "Is Public Debt a Burden for India?," Economic Papers, The Economic Society of Australia, vol. 35(2), pages 184-201, June.

7. Matesanz Gómez, David & Fugarolas Álvarez-Ude, Guadalupe, 2006. "Exchange rate policy and trade balance. A cointegration analysis of the argentine experience since 1962," MPRA Paper 151, University Library of Munich, Germany, revised 2006.
   • David Matesanz & Guadalupe Fugarolas, 2009. "Exchange rate policy and trade balance: a cointegration analysis of the Argentine experience since 1962," Applied Economics, Taylor & Francis Journals, vol. 41(20), pages 2571-2582.

   Cited by:

   1. Durmus Ozdemir & Mustafa Kemal Gundogdu, 2015. "Simultaneity between export and import flows and the Marshall–Lerner condition: the Turkish case (1998–2013)," Discussion Papers 2015/01, Yasar University, Department of Economics.
   2. Sastre, Luis, 2012. "Simultaneity between export and import flows and the Marshall–Lerner condition," Economic Modelling, Elsevier, vol. 29(3), pages 879-883.
   3. Luis Sastre, 2018. "Marshall-Lerner Condition and the Balance of Payments Constrained Growth: The Spanish Case," Review of Economics & Finance, Better Advances Press, Canada, vol. 13, pages 29-38, August.
   4. Kyophilavong, Phouphet & Shahbaz, Muhammad & Salah Uddin, Gazi, 2013. "Does J-Curve Phenomenon Exist in Case of Laos? An ARDL Approach," MPRA Paper 49052, University Library of Munich, Germany, revised 12 Aug 2013.
      • Kyophilavong, Phouphet & Shahbaz, Muhammad & Salah Uddin, Gazi, 2013. "Does J-Curve Phenomenon Exist in Case of Laos? An ARDL Approach," MPRA Paper 48084, University Library of Munich, Germany, revised 04 Jul 2013.
      • Kyophilavong, Phouphet & Shahbaz, Muhammad & Uddin, Gazi Salah, 2013. "Does J-curve phenomenon exist in case of Laos? An ARDL approach," Economic Modelling, Elsevier, vol. 35(C), pages 833-839.
   5. Rosdiana Sijabat, 2022. "The Association of Economic Growth, Foreign Aid, Foreign Direct Investment and Gross Capital Formation in Indonesia: Evidence from the Toda–Yamamoto Approach," Economies, MDPI, vol. 10(4), pages 1-22, April.
   6. Luis Satre Jiménez, 2010. "Economías abiertas y condición de Marshall-Lerner," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 9, pages 1-8, November.
   7. Muhammad Omer & Junaid Kamal & Jakob Haan, 2023. "Does an exchange rate depreciation improve the trade balance of Pakistan?," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 163-185, February.
   8. Razak, Najwa & Masih, Mansur, 2018. "The relationship between exchange rate and trade balance: evidence from Malaysia based on ARDL and Nonlinear ARDL approaches," MPRA Paper 112447, University Library of Munich, Germany.

8. Guillermo J. Ortega & David Matesanz, 2005. "Cross-country hierarchical structure and currency crisis," Papers physics/0508188, arXiv.org.
   • Guillermo J. Ortega & David Matesanz, 2006. "Cross-Country Hierarchical Structure And Currency Crises," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 333-341.

   Cited by:

   1. Daniel Danau, 2018. "Prudence and preference for flexibility gain," Working Papers hal-01806743, HAL.
      • Daniel Danau, 2018. "Prudence and preference for flexibility gain," Economics Working Paper Archive (University of Rennes & University of Caen) 2018-05, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS, revised May 2019.
      • Danau, Daniel, 2020. "Prudence and preference for flexibility gain," European Journal of Operational Research, Elsevier, vol. 287(2), pages 776-785.
      • Daniel Danau, 2020. "Prudence and preference for flexibility gain," Post-Print hal-02893487, HAL.
      • Daniel Danau, 2017. "Prudence and preference for flexibility gain," Economics Working Paper Archive (University of Rennes & University of Caen) 2017-05, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS, revised Nov 2017.
   2. 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.
   3. Zeitsch, Peter J. & Davis, Tom P., 2021. "The price determinants of contingent convertible bonds," Finance Research Letters, Elsevier, vol. 43(C).
   4. Kartikay Gupta & Niladri Chatterjee, 2020. "Examining Lead-Lag Relationships In-Depth, With Focus On FX Market As Covid-19 Crises Unfolds," Papers 2004.10560, arXiv.org, revised May 2020.
   5. Brida, Juan Gabriel & Esteban, Laura Parte & Risso, Wiston Adrián & Such Devesa, María Jesús, 2010. "The international hotel industry in Spain: Its hierarchical structure," Tourism Management, Elsevier, vol. 31(1), pages 57-73.
   6. Tan Le & Franck Martin & Duc Nguyen, 2018. "Dynamic connectedness of global currencies: a conditional Granger-causality approach," Working Papers hal-01806733, HAL.
      • Tan T. M. Le & Franck Martin & Duc K. Nguyen, 2018. "Dynamic connectedness of global currencies: a conditional Granger-causality approach," Economics Working Paper Archive (University of Rennes & University of Caen) 2018-04, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
   7. Mansooreh Kazemilari & Ali Mohamadi, 2018. "Topological Network Analysis Based on Dissimilarity Measure of Multivariate Time Series Evolution in the Subprime Crisis," IJFS, MDPI, vol. 6(2), pages 1-16, May.

9. Fugarolas Álvarez-Ude, Guadalupe & Matesanz Gómez, David, 2005. "Restricción de balanza de pagos y vulnerabilidad externa en la argentina de los noventa. Un análisis de caso," MPRA Paper 210, University Library of Munich, Germany, revised 2005.

   Cited by:

   1. Ochoa Jiménez, Diego, 2010. "Crecimiento Económico y Sector Externo en la Economía Ecuatoriana [Economic Growth and the External Sector in Ecuador’s Economy]," MPRA Paper 40422, University Library of Munich, Germany.
   2. Arevilca Vasquez, Bismarck Javier & Risso Charquero, Adrian Winston, 2007. "Balance of payments constrained growth model: evidence for Bolivia 1953-2002," MPRA Paper 5645, University Library of Munich, Germany.
      • Arevilca Vasquez, Bismarck Javier & Risso Charquero, Adrian Winston, 2007. "Balance of Payments Constrained Growth Model: Evidence for Bolivia 1953-2002," MPRA Paper 5685, University Library of Munich, Germany.

Articles

1. Brida, Juan Gabriel & Gómez, David Matesanz & Seijas, Maria Nela, 2017. "Debt and growth: A non-parametric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 883-894.

   Cited by:

   1. Gopal Prasad Bhatta, PhD & Anu Mishra, 2020. "Estimating Optimum Growth-Maximizing Public Debt Threshold for Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 32(2), pages 1-28, October.
   2. Chowdhury, Mohammad Ashraful Ferdous & Prince, Ehsanur Rauf & Shoyeb, Mohammad & Abdullah, Mohammad, 2024. "The threshold effect of institutional quality on sovereign debt and economic stability," Journal of Policy Modeling, Elsevier, vol. 46(1), pages 39-59.
   3. Yilmaz BAYAR & Mahmut Unsal SASMAZ, 2019. "Foreign borrowing, foreign direct investment inflows and economic growth in European Union transition economies," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 107-125, December.
   4. Nur Hayati Abd Rahman & Shafinar Ismail & Khairunnisa Abd Samad & Bestari Dwi Handayani & Yozi Aulia Rahman & Wijang Sakitri, 2022. "The Effects of Regulatory Performance on the Debt–Growth Relationship: Cases of Upper-Middle-Income Economies," Economies, MDPI, vol. 10(10), pages 1-14, September.
   5. Abdul Jalil, 2020. "Debt Sustainability: Economic Growth is the Panacea," PIDE Knowledge Brief 2020:19, Pakistan Institute of Development Economics.

2. David Matesanz Gomez & Hernan J. Ferrari & Benno Torgler & Guillermo J. Ortega, 2017. "Synchronization and diversity in business cycles: a network analysis of the European Union," Applied Economics, Taylor & Francis Journals, vol. 49(10), pages 972-986, February.

   Cited by:

   1. Krzysztof Beck & Ntokozo Patrick Nzimande, 2023. "Labor mobility and business cycle synchronization in Southern Africa," Economic Change and Restructuring, Springer, vol. 56(1), pages 159-179, February.
   2. Jakob de Haan & Jan P.A.M. Jacobs & Renske Zijm, 2022. "Coherence of Output Gaps in the Euro Area: The Impact of the Covid-19 Shock," CESifo Working Paper Series 9654, CESifo.
      • de Haan, Jakob & Jacobs, Jan P.A.M. & Zijm, Renske, 2024. "Coherence of output gaps in the euro area: The impact of the COVID-19 shock," European Journal of Political Economy, Elsevier, vol. 84(C).
   3. Beck, Krzysztof, 2021. "Why business cycles diverge? Structural evidence from the European Union," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
   4. Horatiu DAN, 2019. "Joining The Euro Zone – An Exploration Of Real And Structural Convergence In Romania, Bulgaria And Croatia," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 1 Year 20, pages 19-32.
   5. Amalia Repele & Sébastien Waelti, 2021. "Mapping the Global Business Cycle Network," Open Economies Review, Springer, vol. 32(4), pages 739-760, September.
   6. Rathke, Alexander & Streicher, Sina & Sturm, Jan-Egbert, 2022. "How similar are country- and sector-responses to common shocks within the euro area?," Journal of International Money and Finance, Elsevier, vol. 120(C).
   7. Philip Haynes & David Alemna, 2022. "A Systematic Literature Review of the Impact of Complexity Theory on Applied Economics," Economies, MDPI, vol. 10(8), pages 1-23, August.
   8. Theophilos Papadimitriou & Periklis Gogas & Fotios Gkatzoglou, 2022. "The Convergence Evolution in Europe from a Complex Networks Perspective," JRFM, MDPI, vol. 15(10), pages 1-14, October.
   9. Anna Solms & Bernd Süssmuth, 2022. "Business cycle characteristics of Mediterranean economies: a secular trend and cycle dynamics perspective," International Economics and Economic Policy, Springer, vol. 19(4), pages 825-862, October.

3. Matesanz, David & Ortega, Guillermo J., 2016. "On business cycles synchronization in Europe: A note on network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 287-296.

   Cited by:

   1. Jose Manuel Caetano & Antonio Bento Caleiro, 2018. "On Business Cycles Synchronization: Some Directions For The Eurasia," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 6(3), pages 13-33.
   2. Yin, Likang & Deng, Yong, 2018. "Measuring transferring similarity via local information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 102-115.
   3. Jin, Yunguo, 2019. "Parameter recognition for complex networks subjected to noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
   4. Dias, João, 2017. "Unemployment and sovereign debt crisis in the Eurozone: A k-means-r analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 108-117.
   5. Łukasz Markowski & Aleksandra Ostrowska, 2024. "Synchronizacja cyklu gospodarczego i finansowego w krajach Unii Europejskiej," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 2, pages 178-208.
   6. Sang Hoon Kang & Salim Lahmiri & Gazi Salah Uddin & Jose Arreola Hernandez & Seong-Min Yoon, 2020. "Inflation cycle synchronization in ASEAN countries," Post-Print hal-02779489, HAL.
      • Kang, Sang Hoon & Lahmiri, Salim & Uddin, Gazi Salah & Arreola Hernandez, Jose & Yoon, Seong-Min, 2020. "Inflation cycle synchronization in ASEAN countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
   7. Tamás Sebestyén & Zita Iloskics, 2020. "Do economic shocks spread randomly?: A topological study of the global contagion network," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-22, September.

4. Brida, Juan Gabriel & Matesanz, David & Seijas, Maria Nela, 2016. "Network analysis of returns and volume trading in stock markets: The Euro Stoxx case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 751-764.

   Cited by:

   1. Phantratanamongkol, Supanan & Casalin, Fabrizio & Pang, Gu & Sanderson, Joseph, 2018. "The price-volume relationship for new and remanufactured smartphones," International Journal of Production Economics, Elsevier, vol. 199(C), pages 78-94.
   2. Coletti, Paolo, 2016. "Comparing minimum spanning trees of the Italian stock market using returns and volumes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 246-261.
   3. khoojine, Arash Sioofy & Han, Dong, 2019. "Network analysis of the Chinese stock market during the turbulence of 2015–2016 using log-returns, volumes and mutual information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1091-1109.
   4. Marta de la Cuesta-González & Cristina Ruza & José M. Rodríguez-Fernández, 2020. "Rethinking the Income Inequality and Financial Development Nexus. A Study of Nine OECD Countries," Sustainability, MDPI, vol. 12(13), pages 1-18, July.
   5. Kanjamapornkul, K. & Pinčák, Richard & Bartoš, Erik, 2016. "The study of Thai stock market across the 2008 financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 117-133.
      • K. Kanjamapornkul & Richard Pinv{c}'ak & Erik Bartov{s}, 2016. "The study of Thai stock market across the 2008 financial crisis," Papers 1606.02871, arXiv.org.
   6. Brida, Juan Gabriel & Gómez, David Matesanz & Seijas, Maria Nela, 2017. "Debt and growth: A non-parametric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 883-894.
   7. Jae Woo Lee & Ashadun Nobi, 2018. "State and Network Structures of Stock Markets around the Global Financial Crisis," Papers 1806.04363, arXiv.org.
   8. Kaihao Liang & Shuliang Li & Wenfeng Zhang & Zhuokui Wu & Jiaying He & Mengmeng Li & Yuling Wang, 2024. "Evolution of Complex Network Topology for Chinese Listed Companies Under the COVID-19 Pandemic," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 1121-1136, March.
   9. Akgüller, Ömer & Balcı, Mehmet Ali, 2018. "Geodetic convex boundary curvatures of the communities in stock market networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 569-581.
   10. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
   11. Xie Chi & Zhou Yingying & Wang Gangjin & Yan Xinguo, 2017. "Investigating the Disparities of China’s Insurance Market Based on Minimum Spanning Tree from the Viewpoint of Geography and Enterprise," Journal of Systems Science and Information, De Gruyter, vol. 5(3), pages 216-228, June.
   12. Cristina Ruza & Marta de la Cuesta-González & Juandiego Paredes-Gazquez, 2019. "Banking system resilience: an empirical appraisal," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(6), pages 1241-1257, October.
   13. Jae Woo Lee & Ashadun Nobi, 2018. "State and Network Structures of Stock Markets Around the Global Financial Crisis," Computational Economics, Springer;Society for Computational Economics, vol. 51(2), pages 195-210, February.
   14. Feng, Sida & Huang, Shupei & Qi, Yabin & Liu, Xueyong & Sun, Qingru & Wen, Shaobo, 2018. "Network features of sector indexes spillover effects in China: A multi-scale view," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 461-473.
   15. Yao, Hongxing & Memon, Bilal Ahmed, 2019. "Network topology of FTSE 100 Index companies: From the perspective of Brexit," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1248-1262.

5. Matesanz, David & Ortega, Guillermo J., 2015. "Sovereign public debt crisis in Europe. A network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 756-766.

   Cited by:

   1. Florian Kiy & Theresa Zick, 2020. "Effects of declining bank health on borrowers’ earnings quality: evidence from the European sovereign debt crisis," Journal of Business Economics, Springer, vol. 90(4), pages 615-673, May.
   2. Gloria Polinesi & Maria Cristina Recchioni, 2021. "Filtered clustering for exchange traded fund," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 75(1), pages 125-135, January-M.
   3. Leno S Rocha & Frederico S A Rocha & Thársis T P Souza, 2017. "Is the public sector of your country a diffusion borrower? Empirical evidence from Brazil," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-11, October.
   4. Dias, João, 2017. "Unemployment and sovereign debt crisis in the Eurozone: A k-means-r analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 108-117.
   5. Mario Coccia, 2018. "National debts and government deficits within European Monetary Union: Statistical evidence of economic issues," Papers 1806.07830, arXiv.org.
   6. Brida, Juan Gabriel & Gómez, David Matesanz & Seijas, Maria Nela, 2017. "Debt and growth: A non-parametric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 883-894.
   7. Leno S. Rocha & Frederico S. A. Rocha & Th'arsis T. P. Souza, 2016. "Is the public sector of your country a diffusion borrower? Empirical evidence from Brazil," Papers 1604.07782, arXiv.org.
   8. Clancy, Daragh & Gabriele, Carmine & Žigraiová, Diana, 2022. "Sovereign bond market spillovers from crisis-time developments in Greece," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
      • Daragh Clancy & Carmine Gabriele & Diana Zigraiova, 2020. "Sovereign bond market spillovers from crisis-time developments in Greece," Working Papers 45, European Stability Mechanism.
   9. Jianxu Liu & Quanrui Song & Yang Qi & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Measurement of Systemic Risk in Global Financial Markets and Its Application in Forecasting Trading Decisions," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
   10. Coccia, Mario, 2017. "Asymmetric paths of public debts and of general government deficits across countries within and outside the European monetary unification and economic policy of debt dissolution," The Journal of Economic Asymmetries, Elsevier, vol. 15(C), pages 17-31.
   11. Anna Denkowska & Stanis{l}aw Wanat, 2019. "A Dynamic MST- deltaCovar Model Of Systemic Risk In The European Insurance Sector," Papers 1912.05641, arXiv.org.
   12. Anna Denkowska & Stanisław Wanat, 2020. "A Tail Dependence-Based MST and Their Topological Indicators in Modeling Systemic Risk in the European Insurance Sector," Risks, MDPI, vol. 8(2), pages 1-22, April.
       • Anna Denkowska & Stanis{l}aw Wanat, 2020. "A tail dependence-based MST and their topological indicators in modelling systemic risk in the European insurance sector," Papers 2001.06567, arXiv.org, revised Mar 2020.
   13. Anna Denkowska & Stanis{l}aw Wanat, 2019. "Linkages and systemic risk in the European insurance sector: Some new evidence based on dynamic spanning trees," Papers 1908.01142, arXiv.org, revised Aug 2019.
   14. Sieds, 2021. "Complete Volume LXXV n. 1 2021," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 75(1), pages 1-138, January-M.

6. Brida, Juan Gabriel & Garrido, Nicolás & Matesanz Gómez , David, 2015. "Análisis jerárquico de la dinámica económica de las comunidades españolas en el periodo 1955-2009," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 31, pages 121-141.

   Cited by:

7. David Matesanz & Benno Torgler & Germán Dabat & Guillermo J. Ortega, 2014. "Co-movements in commodity prices: a note based on network analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 13-21, November.
   • David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler & German Dabat, 2011. "Co-movements in commodity prices: A note based on network analysis," CREMA Working Paper Series 2011-21, Center for Research in Economics, Management and the Arts (CREMA).
   See citations under working paper version above.
8. David Matesanz & Guillermo Ortega, 2014. "Network analysis of exchange data: interdependence drives crisis contagion," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 1835-1851, July.
   • Matesanz, David & Ortega, Guillermo J., 2008. "Network analysis of exchange data: Interdependence drives crisis contagion," MPRA Paper 7720, University Library of Munich, Germany.
   See citations under working paper version above.
9. 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.

   Cited by:

   1. Lischka, Michael & Mossig, Ivo, 2018. "Konzeptualisierung zwischenstaatlicher Interdependenzen als Netzwerke," Beiträge zur Wirtschaftsgeographie und Regionalentwicklung 1-2018, Universität Bremen, Institut für Geographie.
   2. Brida, Juan Gabriel & Gómez, David Matesanz & Seijas, Maria Nela, 2017. "Debt and growth: A non-parametric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 883-894.
   3. Ansgar Belke & Clemens Domnick & Daniel Gros, 2017. "Business Cycle Synchronization in the EMU: Core vs. Periphery," Open Economies Review, Springer, vol. 28(5), pages 863-892, November.
      • Ansgar Belke & Clemens Domnick & Daniel Gros, 2016. "Business cycle synchronization in the EMU: Core vs. periphery," ROME Working Papers 201608, ROME Network.
      • Belke, Ansgar & Domnick, Clemens & Gros, Daniel, 2017. "Business Cycle Synchronization in the EMU: Core vs. Periphery," GLO Discussion Paper Series 38, Global Labor Organization (GLO).
      • Belke, Ansgar & Domnick, Clemens & Gros, Daniel, 2016. "Business cycle synchronization in the EMU: Core vs. periphery," Ruhr Economic Papers 659, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
   4. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
   5. Matesanz, David & Ortega, Guillermo J., 2015. "Sovereign public debt crisis in Europe. A network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 756-766.
   6. Xiao Dai & Jian Wu & Liang Yan & Qian Zhang & Fangli Ruan & Dan Wang, 2019. "Industrial Structure Restructuring, Production Factor Allocation Analysis: Based on a Mineral Resource-Intensive City—Jiaozuo City," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
   7. Matesanz, David & Ortega, Guillermo J., 2016. "On business cycles synchronization in Europe: A note on network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 287-296.

10. David Matesanz & Guadalupe Fugarolas, 2009. "Exchange rate policy and trade balance: a cointegration analysis of the Argentine experience since 1962," Applied Economics, Taylor & Francis Journals, vol. 41(20), pages 2571-2582.
    • Matesanz Gómez, David & Fugarolas Álvarez-Ude, Guadalupe, 2006. "Exchange rate policy and trade balance. A cointegration analysis of the argentine experience since 1962," MPRA Paper 151, University Library of Munich, Germany, revised 2006.
    See citations under working paper version above.
11. Guadalupe Fugarolas Alvarez-Ude & David Matesanz Gomez, 2008. "Long- and short-run balance of payments adjustment: Argentine economic growth constrained," Applied Economics Letters, Taylor & Francis Journals, vol. 15(10), pages 815-820.

    Cited by:

    1. Sébastien Charles & Thomas Dallery & Jonathan Marie, 2022. "The slowing of growth in France: an interpretation based on Thirlwall’s law," Post-Print hal-02905749, HAL.
       • Sebastien Charles & Thomas Dallery & Jonathan Marie, 2022. "The slowing of growth in France: an interpretation based on Thirlwall’s law," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 45(1), pages 100-129, January.
    2. Anthony Philip Thirlwall, 2012. "Balance of Payments Constrained Growth Models: History and Overview," Palgrave Macmillan Books, in: Elias Soukiazis & Pedro A. Cerqueira (ed.), Models of Balance of Payments Constrained Growth, chapter 1, pages 11-49, Palgrave Macmillan.
       • Anthony P. Thirlwall, 2011. "Balance of payments constrained growth models: history and overview," PSL Quarterly Review, Economia civile, vol. 64(259), pages 307-351.
       • A. P. Thirlwall, 2011. "Balance of Payments Constrained Growth Models: History and Overview," Studies in Economics 1111, School of Economics, University of Kent.
    3. A. P. Thirlwall, 2013. "Economic Growth in an Open Developing Economy," Books, Edward Elgar Publishing, number 15208.
    4. Ahmad Jafari Samimi & Ramezan Hosseinzadeh, 2011. "Foreign Trade and Economic Growth: Evidence of Thirlwall’s Law in Iran," Journal of Social and Development Sciences, AMH International, vol. 2(2), pages 81-88.
    5. Ismail Adigun Olayemi & Lateef Olawale Adedeji & Bashir Ayomide Adenekan & Omolola Raliat Owonikoko, 2017. "Is Nigerian Growth Trade-Led?," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 10(3), pages 80-89, September.
    6. Félix Jiménez, 2018. "Capacidad productiva, cambio técnico y productividad: Estimaciones alternativas del producto de largo plazo," Documentos de Trabajo / Working Papers 2018-454, Departamento de Economía - Pontificia Universidad Católica del Perú.

12. David Matesanz & Guillermo J. Ortega, 2008. "A (Econophysics) Note On Volatility In Exchange Rate Time Series Entropy As A Ranking Criterion," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(07), pages 1095-1103.

    Cited by:

    1. Trindade, Marco A.S. & Floquet, Sergio & Filho, Lourival M. Silva, 2020. "Portfolio theory, information theory and Tsallis statistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).

13. Guillermo J. Ortega & David Matesanz, 2006. "Cross-Country Hierarchical Structure And Currency Crises," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 333-341.
    • Guillermo J. Ortega & David Matesanz, 2005. "Cross-country hierarchical structure and currency crisis," Papers physics/0508188, arXiv.org.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 11 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-MAC: Macroeconomics (4) 2011-04-30 2011-05-24 2012-02-20 2012-02-20
2. NEP-FMK: Financial Markets (3) 2006-10-14 2006-10-14 2006-10-21
3. NEP-IFN: International Finance (3) 2006-10-14 2006-10-14 2008-03-15
4. NEP-INT: International Trade (3) 2006-10-14 2008-01-05 2008-02-09
5. NEP-NET: Network Economics (3) 2011-05-24 2012-02-20 2012-02-20
6. NEP-CBA: Central Banking (2) 2006-10-14 2006-10-14
7. NEP-OPM: Open Economy Macroeconomics (2) 2008-03-15 2011-04-30
8. NEP-CSE: Economics of Strategic Management (1) 2011-04-30
9. NEP-EEC: European Economics (1) 2012-02-20
10. NEP-FDG: Financial Development and Growth (1) 2006-10-14
11. NEP-HIS: Business, Economic and Financial History (1) 2011-04-30
12. NEP-SEA: South East Asia (1) 2008-03-15
13. NEP-TRA: Transition Economics (1) 2012-02-20

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, David Matesanz Gomez
(David Matesanz Gomez) should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.