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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
)
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URL - Presentation file, Visit
http://www.cek.ef.uni-lj.si/magister/gomboc2639-B.pdf
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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
UDC:
336.76
COBISS.SI-ID:
24318950
Publication date in RUL:
27.03.2018
Views:
1729
Downloads:
225
Metadata:
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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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