2019
DOI: 10.1007/978-3-030-11364-3_8
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Interdependence, Vulnerability and Contagion in Financial and Economic Networks

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Cited by 4 publications
(4 citation statements)
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“…Measuring financial spillover always poses a methodological challenge. It is often problematic to distinguish contagion and spillover from interdependence (Vodenska and Becker 2019). The results are likely biased due to model misspecification (Rigobon 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Measuring financial spillover always poses a methodological challenge. It is often problematic to distinguish contagion and spillover from interdependence (Vodenska and Becker 2019). The results are likely biased due to model misspecification (Rigobon 2016).…”
Section: Introductionmentioning
confidence: 99%
“…However, merely the possibility of a type of a contact process in the class of complex systems of interest does not imply that temporal data collected from some such system should be modeled using the aforementioned stochastic processes. The lack of contact data, necessary to reconstruct the network to model the spreading processes (pathways a new pathogen takes 8,9 or the reasons for companies default 10 ); the lack of some layers in a multiplex network that would most precisely represent the real system [11][12][13] , or simply no network contribution in the spreading -are some of the instances in which modeling of the process is best done as a non-network field effect.…”
Section: Introductionmentioning
confidence: 99%
“…While links between individuals in disease transmission usually describe some form of contact or interaction that would allow for the infection to spread, links in a financial network 7 are typically approximated through the similarity of characteristics among the financial entities (Vodenska & Becker 2019). Stock markets usually serve as proxies for the health and robustness of the underlying economies and foreign exchange markets encode macroeconomic fundamentals like GDP growth, inflation rate and unemployment (Taulbee 2000).…”
Section: Theoretical Concept Of Contagion and Spilloversmentioning
confidence: 99%
“…It is generally assumed that a high degree of correlation suggests a larger likelihood of crisis spreading from one node to another. In particular, tightly knit communities are more likely to react to a given shock in a similar way; therefore, identifying these communities may help to anticipate the dynamics of the shock throughout the network (Vodenska & Becker 2019).…”
Section: Theoretical Concept Of Contagion and Spilloversmentioning
confidence: 99%