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Alternatywne oceny ryzyka systematycznego w modelu CAMP

100%
Trzpiot G.
Studia Ekonomiczne
|
2013
|
vol. 162
9-20
EN
In linear regression model, estimated by last square method, the coefficient of determination gives as an information about ratio of variance of dependence variable describe by chosen in linear relation independence variable. We give the new range of this concept by description the coefficient of determination for chosen robust regression models. We proposed the description of the problem in economic contests, instead that the problem of measurement of systematic risk is a very general issue.
2
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Empiryczna analiza wpływu wybranych czynników na wzrost gospodarczy

84%
Totleben B.
Wiadomości Statystyczne. The Polish Statistician
|
2015
|
issue 1
42-59
XX
W artykule zbadano wpływ wybranych zmiennych: poziomu wydatków rządowych, inflacji, skolaryzacji, bezpośrednich inwestycji zagranicznych, innowacji oraz wolności gospodarczej na poziom PKB per capita. Badaniu poddano 59 krajów, które podzielono zgodnie z klasyfikacją Banku Światowego na 4 grupy dochodowe. W celu określenia zależności i wpływu opisanych zmiennych na PKB per capita wykorzystano regresję liniową, test przyczynowości Grangera oraz uogólnioną metodę momentów. Efektem badań jest potwierdzenie postawionej hipotezy, że wybrane zmienne są determinantami wzrostu gospodarczego, co jest zgodne z zaprezentowaną analizą literatury.
EN
The article examines the impact of selected variables such as the level of government spending, inflation, school enrollment, FDI, innovation and economic freedom on GDP per capita level. To do so, linear regression, Granger causality test and general method of moments are employed. The research takes into consideration 59 countries, divided into 4 groups accordingly to GNP. The results confirm stated hypothesis, i.e. selected variables determine economic growth, what coincides with the analysis of literature.
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Analiza możliwości zastosowania metody DEA W modelach scoringowych

67%
Nowak A. K., Matuszyk A.
Studia Ekonomiczne
|
2014
|
vol. 186 cz 1
113-126
EN
A clue for the research have become analysis made by A. Feruś in 2006, In which the author points the possibility of extending classical scoring models with the DEA method, allowing to predict a credit risk. In 2006, in the era of the Basel II implementation, the possibility of such an extension was not reflected in the practice of banks in Poland. But now, as a part of the Basel III implementation, it is reasonable to consider the possibility of their expantion, for example using the DEA . The study was carried out on the basis of 139 companies operating in Poland in 2010-2011 data and a comparison with their actual condition in 2012. Survey results both for 2010 and 2011 indicate a weaker prediction of the scoring models alone than scoring models with DEA In terms of: correct customers classification and the value of a R2 determination factor.
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