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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F20%3AA0000155" target="_blank" >RIV/47813059:19520/20:A0000155 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

38th International Conference on Mathematical Methods in Economics

ISBN

9788075097347

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

320-325

Název nakladatele

Mendel University in Brno Faculty of Business and Economics

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

1. 1. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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