文章基本信息

标题：EVENT-BASED DYNAMIC BANKING NETWORK EXPLORATION FOR ECONOMIC ANOMALY DETECTION
本地全文：下载
作者：ANDRY ALAMSYAH ; DIAN PUTERI RAMADHANI ; FARIDA TITIK KRISTANTI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：7
页码：1089-1100
出版社：Journal of Theoretical and Applied
摘要：The instability of financial system issues might trigger a bank failure, evoke spillovers, and generate contagion effects which negatively impacted the financial system, ultimately on the economy. This phenomenon is the result of the highly interconnected banking transaction. The banking transactions network is considered as a financial architecture backbone. The strong interconnectedness between banks escalates contagion disruption spreading over the banking network and trigger the entire system collapse. This far, the financial instability is generally detected using macro approach mainly the uncontrolled transaction deficits amount and unpaid foreign debt. This research proposes financial instability detection in another point of view, through the macro view where the banking network structure are explored globally and micro view where focuses on the detailed network patterns called motif. Network triadic motif patterns used as a denomination to detect financial instability. The most related network triadic motif changes related to the instability period are determined as detector. We explore the banking network behavior under financial instability phenomenon along with the major religious event in Indonesia, Eid al-Fitr. We discover one motif pattern as the financial instability underlying detector. This research help to support the financial system stability supervision.
关键词：Network Motifs;Triadic Motifs;Banking Transaction;Banking Transaction Network;Financial Instability Detection.