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Study On The Evolution Mechanism And Survivability Of Bank Financing Network

Posted on:2012-05-21Degree:MasterType:Thesis
Country:ChinaCandidate:F LiFull Text:PDF
GTID:2189330335480059Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
The financial industry is the core of modern economy and the banking industry is the most important part of the financial industry,the network of inter-bank funds is directly related to the stability of the entire financial system, banking crises may be transmitted in the banking network. Bank financing network is a network with complex topology that refers to a bank account as the nodes and the flow of funds between banks as the sides. There are complex relations between inter-bank funds exchange to each other, which will be conducive to the study of the statistical characteristics and crisis contagion of inter-bank network and the invulnerability of the bank financing network,and puts forward reasonable theoretical basis and proposals to prevent the banking crisis in the inter-bank network infection, even has some theoretical value to the regulator of banks.Starting from financial relations between banks, based on the basic ideas for economic physics and behavioral economics, this paper puts to use the basic theory of complex networks and of crisis contagion, constructs financal network in the inter-bank market, which refers to bank accounts as the nodes, and the relations of inter-bank lending funds as the sides, studys the evolutionary mechanism and the invulnerability of inter-bank network, finally carries out an empirical study of bank outlets in Taiyuan. The specific content and conclusions are as follows:Firstly, this paper focus on the study on the lending market between banks according to the analysis of the classification of banks, participants in banking activities and the relation of bank funds, inter-bank lending formed the structure of credit and debt relations, also formed the structure of a complex network capital within the banking system. Based on the study of lending characteristics between banks,it constructed an expression of banks financing network.Secondly, based on the expression of bank financing network to determine, this paper analyses the characteristics of the real inter-bank lending, according to the complex network theory, refers to economic physics and behavioral economics as the basic ideas,builds a network of inter-bank financing model, then analyses the model, when the inter-bank network is large, the inter-bank network is a scale-free network and the degree distribution follows a power-law distribution whose exponent is 3. It took a simulation test to verify the correctness of the model,whose result validated the model was reasonable.Thirdly, based on the building the bank financing network,it analyses the connectivity measure and the measure of the network, according to the crisis contagion and the theory of scale-free network,studys the invulnerability of the banks financing network,it turns out to be that when it comes to a crisis in the inter-bank network transmission, the effects of the target immune is much better than random immune, that is to strengthen purposely the immunity of the banks with the assets of large-scale, capital strength, high degree of bank lending activity, so that it will be able to lower contagion probability of inter-bank and improve the invulnerability of the bank financing network at a small cost.Fourthly,the capital lending in the inter-bank market is frequent and the inter-bank lending funds are completed through various agencies outlets,but there is a lot of irrationality in the layout of the outlets.This paper, according to the theory of complex networks,studied the layout of the bank outlets inTaiyuan,the Agricultural Bank of Taiyuan for example,it turns out to be that the layout of the Agricultural Bank of Taiyuan is unreasonable, and finally proposed the layout programme of the outlets regarded as reasonable in this paper.
Keywords/Search Tags:Bank financing network, Evolution mechanism, Degree distribution, Network resilience, Network layout
PDF Full Text Request
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