Descriptive modeling of systemic banking crises (CROSBI ID 591573)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Gamberger, Dragan ; Lučanin, Dražen ; Šmuc, Tomislav
engleski
Descriptive modeling of systemic banking crises
The topic of the work is detection of connections between occurrences of systemic banking crises and values of socio-economic indicators in time frames of three years before outburst of crises. For this task we have used the list of banking crises in the period 1976-2007 prepared by the International Monetary Fund that we have connected with publically available Word Bank data. For the analysis a machine learning methodology based on subgroup discovery has been used. The main result is that demographic indicators have been detected as most relevant. At first place this is the indicator of percentage of total population that is in the age group 15-64 years. This indicator is present in both developed models and presents a condition related to a high number of crises outbursts. In the first model this indicator is connected with the indicator of annual percentage of money and quasi money growth while in the second model it is connected with the indicator of life expectancy for male population. For the analysis especially interesting is the second model because it includes decreasing or very low positive trend in active population in a period before the onset of the crises. The importance of the result is in the fact that such situations may be expected in the near future in many developed and developing economies.
Subgroup discovery; Knowledge discovery; Banking crises
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Podaci o prilogu
67-80.
2012.
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objavljeno
Podaci o matičnoj publikaciji
Lecture notes in computer science
Ganascia, J-G ; Lenca, P. ; Petit, J-M
Heidelberg: Springer
0302-9743
Podaci o skupu
Discovery Science 15th International Conference, DS 2012
predavanje
29.10.2012-31.10.2012
Lion-sur-Mer, Francuska