scholarly journals Linking global financial networks with regional development: a case study of Linyi, China

2019 ◽  
Vol 54 (2) ◽  
pp. 187-197 ◽  
Author(s):  
Fenghua Pan ◽  
Chun Yang ◽  
He Wang ◽  
Dariusz Wójcik
Keyword(s):  
Regional Development ◽  
Financial Networks

scholarly journals Escaping the resource curse in regional development: a case study on the allocation of oil royalties

2015 ◽  
Vol 18 (1/2) ◽  
pp. 115 ◽  
Author(s):  
Benedetto Rocchi ◽  
Chiara Landi ◽  
Gianluca Stefani ◽  
Severino Romano ◽  
Mario Cozzi
Keyword(s):  
Regional Development ◽  
Resource Curse

scholarly journals Regional development of small and midsize businesses in the conditions of forming of innovative economy of Kazakhstan: a case study

2020 ◽  
Vol 8 (1) ◽  
pp. 618-639
Author(s):  
Shuakhbay Zamanbekov ◽  
Amangeldy Dogalov ◽  
Darkhan Zamanbekov ◽  
Aigul Bildebayeva ◽  
Almagul Cheirkhanova ◽  
...  
Keyword(s):  
Regional Development ◽  
Innovative Economy

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

Entropy ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. 1211
Author(s):  
Peter Tsung-Wen Yen ◽  
Kelin Xia ◽  
Siew Ann Cheong
Keyword(s):  
Financial Market ◽  
Information Filtering ◽  
Neck Region ◽  
Topological Data Analysis ◽  
Financial Networks ◽  
Minimal Spanning Tree ◽  
Geometric Information ◽  
Stock Market Crash ◽  
The Past

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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