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1

Modelling the migration of commercial bank clients

100%
Lubloy A., Szenes M.
Kozgazdasagi Szemle (Economic Review)
|
2007
|
vol. 54
|
issue 10
915-934
EN
The study uses network theory to model the migration of commercial clients of banks. For want of real data, the authors begin by generating a network composed of the commercial clients on a banking market with several players. The interstices are the companies and each company's banking affiliation corresponds to an internal coordinator. The transactions among the companies - through the company's own bank or another bank - pass along the directed lines. At the centre of the examination based on the network generated stand the equilibrium properties of the bank-choice strategy and the phenomenon of client migration. The market equilibrium of the model - contrary to one of the main assertions of neo-classical equilibrium theory - is not clear in this model and several states of equilibrium may ensue. It was found while modelling the client migration that there is no newly migrated client in two-thirds of cases in the network of commercial clients. In the worst case, marked waves of migration occur. Finally, the authors seek to discover what topological features are typical of the key companies from the client migration point of view. It is found that the number of partners does not characterize in every case the key companies from the client migration point of view.
2

Application of network theory at commercial banks

81%
Benedek G., Lubloy A., Szenes M.
Kozgazdasagi Szemle (Economic Review)
|
2007
|
vol. 54
|
issue 7/8
682-702
EN
Network theory is widely used in many sciences and has a long tradition in the social sciences as well. The methods widely used in it might also be employed profitably by commercial banks. The article shows how the decision-making process may become biased if the network effects within a corporate client portfolio are disregarded. The authors demonstrate the potential usefulness of network theory in two distinct areas. The first set of applications relates to classical problems in banking business. Taking the network effects in the corporate client portfolio into account allows the fields of customer attrition, customer retention, customer acquisition, diffusion of various banking products, and optimal pricing policy to be addressed. The second set of applications relates to assessment of portfolio stability. If one big corporation fails or recession hits one industry, it may have a severe impact on interlinked companies and on the banking sector. Attention was paid in the article to showing how the application of network theory can create value in the banking industry.
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