Multiplex Financial Networks: Revealing the Level of Interconnectedness in the Banking System

Concha, Alejandro de la; Martínez-Jaramillo, Serafín; Carmona, Chris U.

doi:10.1007/978-3-319-72150-7_92

Cited by 14 publications

(4 citation statements)

References 15 publications

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“…Nowadays, E-wallet is widely utilized by many individuals and has become a need to undertake financial transactions. The theoretical frameworks used to analyze factors that influence E-wallet intention have gradually evolved from the theory of planned behavior (TPB) [17], technological acceptance model (TAM) [18], to mobile technology acceptance model (MTAM) [19] and UTAUT [20]. Those research generally employed generic models or changed generic models by adding additional components to develop their own model for exploring the elements that drive behavioral intention.…”

Section: E-wallet Adoption Factorsmentioning

confidence: 99%

An Integrated and Comprehensive Fuzzy Multi-Criteria Model for Electronic Wallet Selection

Nguyen¹

2023

Computers, Materials &Amp; Continua

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Electronic wallet (E-wallet), which combines software, hardware, and human interaction, is a modern platform for electronic payment. Financial services managers can create more effective strategies for advancing existing positions by evaluating the success of e-wallet services. The objective of this research is to create an integrated model for assessing E-wallet services using the Fuzzy Analytic Hierarchy Process (FAHP) in conjunction with a technique for extent analysis and the ARAS approach (Additive Ratio Assessment). In this study, E-wallet service providers are ranked and evaluated using the ARAS approach and the FAHP priority weights. In addition, a case study from Vietnam illustrates how the methodology is used. The data shows that perceived usefulness, perceived usability, perceived simplicity of use, and perceived threat have the least impact on how acceptable an Ewallet is. As a result, the suggested model improves the efficiency of E-wallet service operations and assists in overcoming the challenges associated with the evaluation of E-wallet services. The case finding demonstrates that the suggested model is a reliable and useful tool for making decisions when assessing E-wallet service providers functioning in a complex and changing environment.

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Section: E-wallet Adoption Factorsmentioning

confidence: 99%

An Integrated and Comprehensive Fuzzy Multi-Criteria Model for Electronic Wallet Selection

Nguyen¹

2023

Computers, Materials &Amp; Continua

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“…In contrast, the barcode of a 1-dim simplex (a link) starts at 1 > 0, when two balls of radius 1 touch. The barcode of this 1-dim simplex then ends at To the best of our knowledge, so far only very few works [182,183,196,197] had applied persistent homology and TDA to the study of trading networks, banking systems, and market crashes. The work closest to ours is that by Gidea and Katz in 2018, who treated the daily log-returns of S&P 500, DJIA, NASDAQ, and Russell 2000 as a four-dimensional data point [183].…”

Section: What Is Topological Data Analysis?mentioning

confidence: 99%

Understanding Changes in the Topology and Geometry of Financial Market Correlations during a Market Crash

Yen

Xia

Cheong

2021

Entropy

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In econophysics, the achievements of information filtering methods over the past 20 years, such as the minimal spanning tree (MST) by Mantegna and the planar maximally filtered graph (PMFG) by Tumminello et al., should be celebrated. Here, we show how one can systematically improve upon this paradigm along two separate directions. First, we used topological data analysis (TDA) to extend the notions of nodes and links in networks to faces, tetrahedrons, or k-simplices in simplicial complexes. Second, we used the Ollivier-Ricci curvature (ORC) to acquire geometric information that cannot be provided by simple information filtering. In this sense, MSTs and PMFGs are but first steps to revealing the topological backbones of financial networks. This is something that TDA can elucidate more fully, following which the ORC can help us flesh out the geometry of financial networks. We applied these two approaches to a recent stock market crash in Taiwan and found that, beyond fusions and fissions, other non-fusion/fission processes such as cavitation, annihilation, rupture, healing, and puncture might also be important. We also successfully identified neck regions that emerged during the crash, based on their negative ORCs, and performed a case study on one such neck region.

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“…A multilayer/multiplex network [349,84] is a pair 𝑀=(𝐺, 𝐶) where {𝐺 𝛼 | 𝛼 ∈ 1, … , 𝑀} is a family of graphs (whether directed or not, weighed or not) 𝐺 𝛼 = (𝑋 𝛼 , 𝐸 𝛼 ) that called layers and…”

Section: Multiplex Complexity Measuresmentioning

confidence: 99%

Proceedings of the Selected and Revised Papers of 9th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2-MLPEED 2021). Odessa, Ukraine, May 26-28, 2021

Ків¹,

Соловйов²,

Семеріков³

2021

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Multiplex Financial Networks: Revealing the Level of Interconnectedness in the Banking System

Cited by 14 publications

References 15 publications

An Integrated and Comprehensive Fuzzy Multi-Criteria Model for Electronic Wallet Selection

An Integrated and Comprehensive Fuzzy Multi-Criteria Model for Electronic Wallet Selection

Understanding Changes in the Topology and Geometry of Financial Market Correlations during a Market Crash

Proceedings of the Selected and Revised Papers of 9th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2-MLPEED 2021). Odessa, Ukraine, May 26-28, 2021

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