2020/06/16 by Zhibin Niu, Niu, Zhibin, Runlin Li +8
Business, Management and Accounting · Economics, Econometrics and Finance · Physics and Astronomy · #Complex Network Analysis Techniques #Complex Systems and Time Series Analysis #FOS: Economics and business #FinTech, Crowdfunding, Digital Finance #Risk Management (q-fin.RM) #q-fin.RM
paper · pdf · doi:10.48550/arxiv.2006.09542
2020 IEEE Conference on Visual Analytics Science and Technology (VAST)
openalex publication_date 2020/06/16 · openalex created_date 2020/06/25 · arxiv created 2020/08/29 · arxiv updated 2020/09/01 · openalex updated_date 2026/07/28
Groups of enterprises can serve as guarantees for one another and form complex networks when obtaining loans from commercial banks. During economic slowdowns, corporate default may spread like a virus and lead to large-scale defaults or even systemic financial crises. To help financial regulatory authorities and banks manage the risk associated with networked loans, we identified the default contagion risk, a pivotal issue in developing preventive measures, and established iConVis, an interactive visual analysis tool that facilitates the closed-loop analysis process. A novel financial metric, the contagion effect, was formulated to quantify the infectious consequences of guarantee chains in this type of network. Based on this metric, we designed and implement a series of novel and coordinated views that address the analysis of financial problems. Experts evaluated the system using real-world financial data. The proposed approach grants practitioners the ability to avoid previous ad hoc analysis methodologies and extend coverage of the conventional Capital Accord to the banking industry.