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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.
EN
The author sets out to prove that so-called full-list sharing of client information is the optimum course for banks acting rationally on an infinite time-scale, i.e. the one to yield the highest profit, in cases where the proportion of bad risks in the banking population is high, the good risks are decreasingly likely to repay their loans, and banks operate at significantly different marginal costs. Further preconditions for the advantages of full list are that each bank share its full client information and the information be reliable. However, where the proportion of bad risks is low or there is little difference in the banks' marginal costs, the dominant strategy will be for banks to refrain from sharing their client information. But both full information sharing and absence of information sharing are less favourable for good risks who service their loans on time than the so-called negative list, because in the former cases they pay a higher rate of interest than they would with negative sharing of information.
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.
EN
Looking at data for almost forty years shows it as characteristic for consumption and housing investment to be strongly preferred over financial savings in long-term behaviour by Hungarian households, despite major changes in the institutional system. An important role in this is played by the credit supply. Households are also using credit possibilities to increase their consumer and housing expenditures. The strong credit supply has been coupled with a low financial savings rate. This is not unique among European countries, but it may lead to a riskier macroeconomic path.
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