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KRKOŠKOVÁ, Radmila. Default in Selected Sectors in the Czech Republic. Online. In Nikola Soukupová. Proceedings of the 14th International Scientific Conference INPROFORUM Business Cycles – more than Economic Phenomena. České Budějovice: Faculty of Economics, University of South Bohemia in České Budějovice, 2020, p. 181-185. ISBN 978-80-7394-824-5.
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Basic information
Original name Default in Selected Sectors in the Czech Republic
Authors KRKOŠKOVÁ, Radmila (203 Czech Republic, guarantor, belonging to the institution).
Edition České Budějovice, Proceedings of the 14th International Scientific Conference INPROFORUM Business Cycles – more than Economic Phenomena, p. 181-185, 5 pp. 2020.
Publisher Faculty of Economics, University of South Bohemia in České Budějovice
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10103 Statistics and probability
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/47813059:19520/20:A0000154
Organization unit School of Business Administration in Karvina
ISBN 978-80-7394-824-5
ISSN 2336-6788
Keywords in English ADF test; co-integration test; construction; default rate; financial and insurance activities; macroeconomic factors; VECM
Changed by Changed by: Mgr. Radmila Krkošková, Ph.D., učo 48703. Changed: 22/12/2020 08:49.
Abstract
The paper investigates the relationship between the macroeconomic indicators and default rate in the sector of construction and the sector of financial and insurance activities in the Czech Republic. Both long-term and short-term relationships are analysed. This approach requires the construction of vector error correction model which determines both long-term and short-term causal relationship. This investigation is based on the time series of the share of outstanding loans and the total amount of loans, and on selected macroeconomic variables. The results confirm the existence of statistically significant relationships between macroeconomic indicators and the probability of defaults within both sectors. We have used the data from 2005Q1 to 2019Q4. Calculations have been performed by using the Eviews software.
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