The dependence of macroeconomic indicators on sovereign rating
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04274644%3A_____%2F18%3A%230000474" target="_blank" >RIV/04274644:_____/18:#0000474 - isvavai.cz</a>
Result on the web
<a href="https://www.ekf.vsb.cz/export/sites/ekf/rmfr/en/Conference_proceedings/Proceedings/Part_I_finalni.pdf" target="_blank" >https://www.ekf.vsb.cz/export/sites/ekf/rmfr/en/Conference_proceedings/Proceedings/Part_I_finalni.pdf</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
The dependence of macroeconomic indicators on sovereign rating
Original language description
Rating of a state constitutes a qualified evaluation of the state’s reliability as a debtor, which informs investors investing in financial assets on important indicators. The research objective is, by means of a created regression and correlation model, to test the quality of the sovereign rating dependence on the macroeconomic indicators. In the correlation analysis, the accumulated correlation coefficient greater than 95% was calculated but at 100% multicollinearity. The high value of the total correlation coefficient was thus devalued by absolute multicollinearity. Given that in neither case was the general correlation coefficient higher than 80% at multicollinearity below 20%, it can be stated that the credit ratings are not explicable solely through economic characteristics, but in determining them also other effects were applied, for instance political and strategic.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Managing and Modelling of Financial Risks
ISBN
9788024842257
ISSN
2464-6970
e-ISSN
2464-6989
Number of pages
9
Pages from-to
235-243
Publisher name
VŠB - Technická univerzita Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Sep 5, 2018
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—