Risk-dependent centrality in the Brazilian stock market
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- 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.
- 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.
- Rosario N. Mantegna, 1998. "Hierarchical Structure in Financial Markets," Papers cond-mat/9802256, arXiv.org.
- Martinez-Jaramillo, Serafin & Alexandrova-Kabadjova, Biliana & Bravo-Benitez, Bernardo & Solórzano-Margain, Juan Pablo, 2014. "An empirical study of the Mexican banking system’s network and its implications for systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 242-265.
- Temizsoy, Asena & Iori, Giulia & Montes-Rojas, Gabriel, 2017.
"Network centrality and funding rates in the e-MID interbank market,"
Journal of Financial Stability, Elsevier, vol. 33(C), pages 346-365.
- Temizsoy, A. & Iori, G. & Montes-Rojas, G., 2016. "Network Centrality and Funding Rates in the e-MID Interbank Market," Working Papers 16/08, Department of Economics, City University London.
- Kuzubaş, Tolga Umut & Ömercikoğlu, Inci & Saltoğlu, Burak, 2014.
"Network centrality measures and systemic risk: An application to the Turkish financial crisis,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 203-215.
- Tolga Umut Kuzubas & Inci Omercikoglu & Burak Saltoglu, 2013. "Network Centrality Measures and Systemic Risk: An Application to the Turkish Financial Crisis," Working Papers 2013/12, Bogazici University, Department of Economics.
- Jaroslaw Kwapien & Pawel Oswiecimka & Marcin Forczek & Stanislaw Drozdz, 2016. "Minimum spanning tree filtering of correlations for varying time scales and size of fluctuations," Papers 1610.08416, arXiv.org, revised May 2017.
- Zhao, Longfeng & Wang, Gang-Jin & Wang, Mingang & Bao, Weiqi & Li, Wei & Stanley, H. Eugene, 2018.
"Stock market as temporal network,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1104-1112.
- Longfeng Zhao & Gang-Jin Wang & Mingang Wang & Weiqi Bao & Wei Li & H. Eugene Stanley, 2017. "Stock market as temporal network," Papers 1712.04863, arXiv.org.
- Paolo Bartesaghi & Michele Benzi & Gian Paolo Clemente & Rosanna Grassi & Ernesto Estrada, 2019. "Risk-dependent centrality in economic and financial networks," Papers 1907.07908, arXiv.org, revised Apr 2020.
- 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.
- Rossi, Alberto G. & Blake, David & Timmermann, Allan & Tonks, Ian & Wermers, Russ, 2018. "Network centrality and delegated investment performance," Journal of Financial Economics, Elsevier, vol. 128(1), pages 183-206.
- M. D'Errico & R. Grassi & S. Stefani & A. Torriero, 2009. "Shareholding Networks and Centrality: An Application to the Italian Financial Market," Lecture Notes in Economics and Mathematical Systems, in: Ahmad K. Naimzada & Silvana Stefani & Anna Torriero (ed.), Networks, Topology and Dynamics, pages 215-228, Springer.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-FMK-2021-03-22 (Financial Markets)
- NEP-RMG-2021-03-22 (Risk Management)
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