TWO-TIER NETWORKS PLATFORM AND SYSTEM WITH APPLICATION TO DEBT RISK ANALYSIS

摘要

#$%^&*AU2020100225A420200326.pdf#####ABSTRACT We propose a two-tier risk contagion networks model from four dimensions: concept definition, data structure, risk contagion network construction and risk measurement indicators construction. The proposed approach can be utilized to analyze and assess debt risk source and structure through 5 main steps.DRAWINGS DEBT RISK ASSESSMENT APPROACH Step 1. Define two- ------------------------------------tier risk contagion Define single-layer networks G_(V,E) and Gh(V,E) networks F Construct two-layer networks G(G,,G.) ------------------------------------------ I Step 2. Divide two- ---------------------------------tier risk contagion i networks First Layer: Guarantee and the Equity n Relationship as Edges Second Layer: Information Spillover Step 3. Measure I riskcontagionof S1: Measure External Risk Exposure RiskExpoi (ERE) two-tier networks S2: Measure Risk contagion channel - Node Degree 1 (k,), Degree Distribution S3: Risk contagion path - Average Shortest Path (ASP) S4: Aggregation of risk contagion network - Clustering Coefficient (CC). Step 4. Empirical Establish an Empirical Analysis Approach for Debt Risk: Analysis Based RiskExpo, ~ (DegNeti,ClusCoef,Controls) on Data Step 5. Debt Risk Factor Managing and Controlling the Risk Source and Structure Identification Figure 1. Schematically framework of the proposed debt risk assessment approach