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Predicting borrower's default by financial and non-financial indicators in discriminant analysis function : master's thesis
ID Žgur, Katja (Author), ID Košak, Marko (Mentor) More about this mentor... This link opens in a new window

URLURL - Presentation file, Visit http://www.cek.ef.uni-lj.si/magister/zgur1753-B.pdf This link opens in a new window

Language:English
Keywords:poslovne finance, financiranje, kreditna sposobnost, ocene, stečaj, ekonomska predvidevanja, indikatorji, modeli, business finance, financing, credit rating, evaluation, bankruptcy, economic forecasting, indicators, models
Work type:Master's thesis/paper (mb22)
Typology:2.09 - Master's Thesis
Organization:EF - School of Economics and Business
Year:2015
Publisher:[K. Žgur]
Number of pages:III, 59, 35 str.
Place:Ljubljana
PID:20.500.12556/RUL-80464 This link opens in a new window
UDC:336.77
COBISS.SI-ID:22759398 This link opens in a new window
Publication date in RUL:01.03.2016
Views:1189
Downloads:288
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Secondary language

Language:Unknown
Title:Napovedovanje stečajev posojilojemalcev s pomočjo finančnih in nefinančnih kazalnikov v diskriminantni analizi

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