D 2020

Default Rate in the Sector Information and Communication Activities in the Czech Republic .

KRKOŠKOVÁ, Radmila

Základní údaje

Originální název

Default Rate in the Sector Information and Communication Activities in the Czech Republic .

Autoři

KRKOŠKOVÁ, Radmila (203 Česká republika, garant, domácí)

Vydání

Brno, 38th International Conference on Mathematical Methods in Economics, od s. 320-325, 6 s. 2020

Nakladatel

Mendel University in Brno Faculty of Business and Economics

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10103 Statistics and probability

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/47813059:19520/20:A0000155

Organizační jednotka

Obchodně podnikatelská fakulta v Karviné

ISBN

978-80-7509-734-7

Klíčová slova anglicky

ADF test; co-integration test; default rate; macroeconomic factors; sector IC activities; VECM
Změněno: 22. 12. 2020 08:45, Mgr. Radmila Krkošková, Ph.D.

Anotace

V originále

The main goal of this article is to analyze the relationship between the macroeconomic indicators and the default rate in the sector information and communication activities in the Czech Republic in the both long and short term. The vector error correction model was used for this purpose to determine both long-term and short-term causal relationships. To create the resulting model, the econometric methodology was used, namely unit root tests, Granger causality for the determination of statistically significant relationships, and the Johansen cointegration test. The results confirm the existence of relationships between macroeconomic variables and the probability of default in the sector information and communication activities. The model is based on the time series of the share of outstanding loans and the total amount of loans, and on selected macroeconomic indicators. The empirical results could be influenced by a period of a currency crisis. The data used have the character of quarterly time series in the period from 2005Q1 to 2019Q4. EViews software version 9 was used for the calculations.