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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
)
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URL - Presentation file, Visit
http://www.cek.ef.uni-lj.si/magister/zgur1753-B.pdf
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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
Typology:
2.09 - Master's Thesis
Organization:
EF - School of Economics and Business
Place of publishing:
Ljubljana
Publisher:
[K. Žgur]
Year:
2015
Number of pages:
III, 59, 35 str.
PID:
20.500.12556/RUL-80464
UDC:
336.77
COBISS.SI-ID:
22759398
Publication date in RUL:
01.03.2016
Views:
1910
Downloads:
310
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Language:
Unknown
Title:
Napovedovanje stečajev posojilojemalcev s pomočjo finančnih in nefinančnih kazalnikov v diskriminantni analizi
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