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Forecasting government bond spreads in a data-rich environment using the three-pass regression filter : master's thesis
ID Gomboc, Marina (Author), ID Masten, Igor (Mentor) More about this mentor... This link opens in a new window

URLURL - Presentation file, Visit http://www.cek.ef.uni-lj.si/magister/gomboc2639-B.pdf This link opens in a new window

Language:English
Keywords:capital market, securities, bonds, yield, economic forecasting, econometrics, methods, data, sampling, regression analysis
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EF - School of Economics and Business
Place of publishing:Ljubljana
Publisher:[M. Gomboc]
Year:2017
Number of pages:II, 75, 14 str.
PID:20.500.12556/RUL-100436 This link opens in a new window
UDC:336.76
COBISS.SI-ID:24318950 This link opens in a new window
Publication date in RUL:27.03.2018
Views:1384
Downloads:209
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Secondary language

Language:Slovenian
Title:Napovedovanje pribitkov 10-letnih državnih obveznic v podatkovno bogatem okolju s tro-stopenjskim regresijskim filtrom
Keywords:trg kapitala, vrednostni papirji, obveznice, donos, ekonomska predvidevanja, ekonometrija, metode, podatki, vzorčenje, regresijske analize

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