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The Study On Bank Systemic Risk Infection And Countermeasures For Prevention And Control

Posted on:2013-07-18Degree:MasterType:Thesis
Country:ChinaCandidate:W WeiFull Text:PDF
GTID:2249330395460669Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
The systemic risk becomes the new perspective to investigate the cause of crisis under the new situation of economic globalization. As the important of financial industry, the infection of bank systemic risk has attracted more and more attention from scholars. Bank systemic risk has infectious and the infection effect can self amplified, single or individual bank systemic risk outbreak will probably have an adverse impact on the other banks in the banking system, and even lead to the crisis of other financial institutions, forming a series of infections, and eventually spread to the entire financial system, causing the systemic crisis. Therefore, the study on bank systemic risk infection and its emergency management is important.First, summarized existing relevant literature on bank systemic risk infection, analysis the connotation, characteristics and formation mechanism of bank systemic risk, then based on the classic Levins model of metapopulation theory, construct the random model of bank systemic risk infection, and simulate the situation of risk infection under different parameter conditions. The results shows identify the risk timely and take efficient emergency measures, reduce the infection rate or increase the cure rate can also control the infection of the risk.Then, elaborating the detail of the entropy optimization matrix method and the measurement procedures, and using data on loans and deposits between16banks of China by the end of2011, and utilizing matlab to estimate the entropy optimization matrix, and simulating the systematic risk infection effects by the collapse of a single bank under different default loss situation. The simulation results can be regard as the stress testing for the bank systemic risk in China.Finally, based on the comprehensive theoretical model and empirical simulation results, from perfecting supervision system, improving the monitoring early warning system, enhance response disposal ability, and establishing accountability and recovery mechanism these four parts to make suggestions.
Keywords/Search Tags:Bank Systemic Risk, Levins Model, Entropy Optimizaion Matrix, Emergency Management
PDF Full Text Request
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