Regression and decision tree analysis of profitability of Croatian banks (CROSBI ID 522212)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Pejić-Bach, Mirjana ; Šimičević, Vanja ; Dabić, Marina
engleski
Regression and decision tree analysis of profitability of Croatian banks
Profitability of banks is influenced by many factors like size, costs structure, income structure, and macroeconomic conditions. Profitability is measured net interest margin. Regression analysis of profitability of Croatian banks is conducted with the goal to investigate to what extents different banks'characteristics and macroeconomic conditions influence profitability of Croatian banks. Unconventional methods like decision trees could also be used in order to estimate the factors of banks' profitability. CR&T decision tree method was applied in order to compare the results of the econometric analysis. Both methods implicated that in short term with stable macroeconomic conditions better profitability is accomplished by well-capitalized banks with bigger market share that are also very efficient in operating costs management. These banks are also very successful in transferring costs of non-income assets to their clients.
regression analysis; banks’ profitability; forecasting; regression analysis; decision trees
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Podaci o prilogu
293-294.
2005.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 16th International DAAAM Symposium "Intelligent Manufacturing & Automation : Focus on Young Researchers and Scientists"
Katalinić, Branko
Rijeka : Beč: DAAAM International Vienna
Podaci o skupu
International DAAAM Symposium (16 ; 2005)
predavanje
19.10.2005-22.10.2005
Opatija, Hrvatska