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1

The effect of financial management habits on operating capital. The example of the Hungarian Post Office

100%
Havran D.
Kozgazdasagi Szemle (Economic Review)
|
2008
|
vol. 55
|
issue 10
907-926
EN
The cash in circulation within network industries such as post-office services can represent a sizeable quantity of operating capital. The Hungarian Post Office, besides handling mail, handles a significant amount of cash turnover, forwarding pensions, welfare benefits, and cash orders. Fluctuation in the daily volume of these is a strong factor in determining the company's liquidity requirements. The management of cash in post offices is governed by rules of thumb that operate well; the regulations leave decision-making scope for the diverse individual actors in the network. Attention has to be paid to individual cash holding when determining the corporate operating capital. The study suggests a new methodology for modelling the individual cash-holding habits, and goes on to group the behaviour patterns by analysing the connection between cash holding, level of corporate operating capital, and corporate liquidity position.
2

Modelling the migration of commercial bank clients

84%
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.
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