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The physics of financial networks [PDF]
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Giulio Cimini +2 more
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Operations Research
In “Robust Financial Networks,” F. Hu, D. Mitchell, and S. Tompaidis study networks of financial institutions where only aggregate information on liabilities is available. The authors introduce the robust liability network, that is, the network consistent with the available information that exhibits the worst expected losses. They provide an algorithm
Stathis Tompaidis, Daniel Mitchell
exaly +3 more sources
In “Robust Financial Networks,” F. Hu, D. Mitchell, and S. Tompaidis study networks of financial institutions where only aggregate information on liabilities is available. The authors introduce the robust liability network, that is, the network consistent with the available information that exhibits the worst expected losses. They provide an algorithm
Stathis Tompaidis, Daniel Mitchell
exaly +3 more sources
Clearing in Financial Networks
Theory of Probability & Its Applications, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kabanov, Yu. M. +2 more
openaire +2 more sources
2014
The financial system performs vital functions for the world economy. Very often one of more aspect of this system can be described by means of a complex graph. In this chapter under the generic name of financial networks we indicate several different systems all related to the world of finance. © 2014 Springer International Publishing Switzerland.
Battiston S., Caldarelli G.
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The financial system performs vital functions for the world economy. Very often one of more aspect of this system can be described by means of a complex graph. In this chapter under the generic name of financial networks we indicate several different systems all related to the world of finance. © 2014 Springer International Publishing Switzerland.
Battiston S., Caldarelli G.
openaire +2 more sources
Clustering Heterogeneous Financial Networks
SSRN Electronic Journal, 2023AbstractWe develop a convex‐optimization clustering algorithm for heterogeneous financial networks, in the presence of arbitrary or even adversarial outliers. In the stochastic block model with heterogeneity parameters, we penalize nodes whose degree exhibit unusual behavior beyond inlier heterogeneity.
Hamed Amini +3 more
openaire +1 more source
The Structure of Financial Networks
2010We present here an overview of the use of networks in Finance and Economics. We show how this approach enables us to address important questions as, for example, the structure of control chains in financial systems, the systemic risk associated with them and the evolution of trade between nations.
Battiston S. +4 more
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Networks of Financial Contagion
2013Banks develop relationships in order to protect themselves against liquidity risk. Despite this benefit, fragility of financial markets stems from these interconnections. A cornerstone in the microeconomic analysis of contagion in financial systems is the contribution of Allen and Gale (2000).
CUTILLO, Luisa +2 more
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Networks and Financial Reporting
2023This chapter is in the vein of the network evaluation perspective, believing that it is important for entities belonging to a collaborative aggregation, whatever form they take, to be evaluated as a whole and their performance measured, or at least an attempt is made, because the choice whether to collaborate rests on the need to understand and to take
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CONTAGION IN HETEROGENEOUS FINANCIAL NETWORKS
Advances in Complex Systems, 2016In this paper, we use the financial network contagion model of Gai P. and Kapadia S. [Contagion in financial networks, Proc. R. Soc. A 466 (2010) 2401–2423] to investigatethe interaction of several types of heterogeneity found in real world banking systems.
Yuanying Guan, Micah Pollak
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