IDEAS home Printed from https://ideas.repec.org/r/ecb/ecbwps/20131510.html
   My bibliography  Save this item

Macro-networks: an application to the euro area financial accounts

Citations

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


Cited by:

  1. Paltalidis, Nikos & Gounopoulos, Dimitrios & Kizys, Renatas & Koutelidakis, Yiannis, 2015. "Transmission channels of systemic risk and contagion in the European financial network," Journal of Banking & Finance, Elsevier, vol. 61(S1), pages 36-52.
  2. Chuangxia Huang & Jie Cao & Fenghua Wen & Xiaoguang Yang, 2016. "Stability Analysis of SIR Model with Distributed Delay on Complex Networks," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-22, August.
  3. Cussen, Mary, 2017. "Identifying Inter-Sectoral Exposures in Ireland using Network Analysis," Economic Letters 03/EL/17, Central Bank of Ireland.
  4. Melle Bijlsma & Malka de Castro Campos & Raymond Chaudron & David-Jan Jansen, 2019. "Building a multilayer macro-network for the Netherlands: A new way of looking at financial accounts and international investment position data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
  5. Henry, Jérôme & Zimmermann, Maik & Leber, Miha & Kolb, Markus & Grodzicki, Maciej & Amzallag, Adrien & Vouldis, Angelos & Hałaj, Grzegorz & Pancaro, Cosimo & Gross, Marco & Baudino, Patrizia & Sydow, , 2013. "A macro stress testing framework for assessing systemic risks in the banking sector," Occasional Paper Series 152, European Central Bank.
  6. Spiros Bougheas & Alan Kirman, 2015. "Complex Financial Networks and Systemic Risk: A Review," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 115-139, Springer.
  7. Cimini, Riccardo, 2015. "Eurozone network “Connectedness” after fiscal year 2008," Finance Research Letters, Elsevier, vol. 14(C), pages 160-166.
  8. Anne-Caroline Hüser & Christoffer Kok, 2019. "Mapping bank securities across euro area sectors: comparing funding and exposure networks," Bank of England working papers 795, Bank of England.
  9. Hüser, Anne-Caroline & Kok, Christoffer, 2019. "Mapping bank securities across euro area sectors: comparing funding and exposure networks," Bank of England working papers 795, Bank of England.
  10. repec:ptu:bdpart:e201511 is not listed on IDEAS
  11. Chiara Perillo & Stefano Battiston, 2020. "Financialization and unconventional monetary policy: a financial-network analysis," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1385-1428, November.
  12. David Aikman & Daniel Beale & Adam Brinley-Codd & Giovanni Covi & Anne‑Caroline Hüser & Caterina Lepore, 2023. "Macroprudential stress‑test models: a survey," Bank of England working papers 1037, Bank of England.
  13. Paola Bongini & Małgorzata Iwanicz-Drozdowska & Paweł Smaga & Bartosz Witkowski, 2018. "In search of a measure of banking sector distress: empirical study of CESEE banking sectors," Risk Management, Palgrave Macmillan, vol. 20(3), pages 242-257, August.
  14. Fathin Faizah Said, 2017. "Global Banking on the Financial Network Modelling: Sectorial Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 49(2), pages 227-253, February.
  15. Castrén, Olli & Kavonius, Ilja Kristian & Rancan, Michela, 2022. "Digital currencies in financial networks," Journal of Financial Stability, Elsevier, vol. 60(C).
  16. Benbouzid, Nadia & Leonida, Leone & Mallick, Sushanta K., 2018. "The non-monotonic impact of bank size on their default swap spreads: Cross-country evidence," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 226-240.
  17. I�aki Aldasoro & Ignazio Angeloni, 2015. "Input-output-based measures of systemic importance," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 589-606, April.
  18. Luiza Antoun de Almeida, 2015. "A Network Analysis of Sectoral Accounts: Identifying Sectoral Interlinkages in G-4 Economies," IMF Working Papers 2015/111, International Monetary Fund.
  19. Rodriguez-Palenzuela, Diego & Dées, Stéphane & Andersson, Malin & Bijsterbosch, Martin & Forster, Katrin & Zorell, Nico & Audoly, Richard & Buelens, Christian & Compeyron, Guillaume & Ferrando, Annali, 2016. "Savings and investment behaviour in the euro area," Occasional Paper Series 167, European Central Bank.
  20. Sheri Markose & Simone Giansante & Nicolas A. Eterovic & Mateusz Gatkowski, 2023. "Early warning of systemic risk in global banking: eigen-pair R number for financial contagion and market price-based methods," Annals of Operations Research, Springer, vol. 330(1), pages 691-729, November.
  21. 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.
  22. Tuomas Antero Peltonen & Michela Rancan & Peter Sarlin, 2019. "Interconnectedness of the banking sector as a vulnerability to crises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 963-990, April.
  23. Curcio, Domenico & Gianfrancesco, Igor & Vioto, Davide, 2023. "Climate change and financial systemic risk: Evidence from US banks and insurers," Journal of Financial Stability, Elsevier, vol. 66(C).
  24. Aikman, David & Beale, Daniel & Brinley-Codd, Adam & Covi, Giovanni & Hüser, Anne‑Caroline & Lepore, Caterina, 2023. "Macroprudential stress‑test models: a survey," Bank of England working papers 1037, Bank of England.
  25. Stolbova, Veronika & Monasterolo, Irene & Battiston, Stefano, 2018. "A Financial Macro-Network Approach to Climate Policy Evaluation," Ecological Economics, Elsevier, vol. 149(C), pages 239-253.
  26. Daeyup Lee & Hail Park, 2019. "Measuring Global Financial Linkages: A Network Entropy Approach," Sustainability, MDPI, vol. 11(17), pages 1-10, August.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.