<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-YQNG40OE/80-ec8ed4-3db6-c181f12e-1bad42b818c8/PDF"><dcterms:extent>1943 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-YQNG40OE/11ddbc0b-a611-434c-8e8c-8b1fed8228e8/TEXT"><dcterms:extent>67 KB</dcterms:extent></edm:WebResource><edm:ProvidedCHO rdf:about="URN:NBN:SI:DOC-YQNG40OE"><dcterms:issued>2018</dcterms:issued><dc:creator>Brezigar Masten, Arjana</dc:creator><dc:creator>Masten, Igor</dc:creator><dc:creator>Volk, Matjaž</dc:creator><dc:identifier>COBISSID:293665536</dc:identifier><dc:identifier>ISBN:978-961-6960-20-5</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-YQNG40OE</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Banka Slovenije</dc:publisher><dc:source xml:lang="sl">knjige</dc:source><dc:subject xml:lang="sl">ekonometrični modeli</dc:subject><dc:subject xml:lang="sl">elektronske knjige</dc:subject><dc:subject xml:lang="sl">krediti</dc:subject><dc:subject xml:lang="sl">Kreditiranje</dc:subject><dc:subject xml:lang="sl">Tveganje</dc:subject><dc:title xml:lang="sl">Modelling credit risk with a tobit model of days past due|</dc:title><dc:description xml:lang="sl">Razvijemo in predlagamo novo metodologijo za modeliranje kreditnega tveganja, kjer je namesto binarne spremenljivke položaja neplačila, modelirano število dni zamud pri odplačevanju posojila. Rezultati imajo pomembne implikacije za banke, ki lahko z modeliranjem števila dni zamud precej izboljšajo identifikacijo kreditnega tveganja in zmanjšajo procikličnost IRB kapitalskih zahtev. Poleg tega so napovedi števila dni zamud lahko uporabljene tudi v novi metodologiji stres testov, ki mora slediti IFRS 9 računovodskim standardom</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">knjige</dc:type><dc:type xml:lang="en">books</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q571" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:DOC-YQNG40OE"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:DOC-YQNG40OE" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:DOC-YQNG40OE/80-ec8ed4-3db6-c181f12e-1bad42b818c8/PDF" /><edm:rights rdf:resource="http://rightsstatements.org/vocab/InC/1.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:dataProvider xml:lang="en">National and University Library of Slovenia</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:DOC-YQNG40OE/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:DOC-YQNG40OE" /></ore:Aggregation></rdf:RDF>