Impact of Macroeconomic Indicators on Mortgage Loans in the V4

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F21%3AA0000218" target="_blank" >RIV/47813059:19520/21:A0000218 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sav.sk/index.php?lang=sk&doc=journal-list&part=article_response_page&journal_article_no=26338" target="_blank" >https://www.sav.sk/index.php?lang=sk&doc=journal-list&part=article_response_page&journal_article_no=26338</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.31577/ekoncas.2021.06.04" target="_blank" >10.31577/ekoncas.2021.06.04</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Impact of Macroeconomic Indicators on Mortgage Loans in the V4

Popis výsledku v původním jazyce

The aim of this article is to analyze the impact of selected macroeconomic indicators on mortgage loans in the V4. This group of countries was chosen because they are close, both geographically and economically. This paper tries to find reasons for possible differences or similarities between the Czech Republic, Slovakia, Poland, and Hungary. The article analyses which of the macroeconomic variables (GDP, inflation, the unemployment rate, and mortgage interest rate) affect the volume of mortgage loans. The article uses the tools of time series econometrics, especially the ADF test, Autoregressive Distributed Lag (ARDL) model, Error Correction Model (ECM), and the Granger causality test. It was found that there is a short-term relationship between the volume of mortgage loans and GDP for all countries, except Poland. Over a longer time series, however, a long-term relationship exists for all of the countries between the volume of mortgage loans and GDP, the mortgage interest rate, and the unemployment rate. The data used is based on a quarterly time series running from 2005Q1 to 2019Q4.

Název v anglickém jazyce

Impact of Macroeconomic Indicators on Mortgage Loans in the V4

Popis výsledku anglicky

The aim of this article is to analyze the impact of selected macroeconomic indicators on mortgage loans in the V4. This group of countries was chosen because they are close, both geographically and economically. This paper tries to find reasons for possible differences or similarities between the Czech Republic, Slovakia, Poland, and Hungary. The article analyses which of the macroeconomic variables (GDP, inflation, the unemployment rate, and mortgage interest rate) affect the volume of mortgage loans. The article uses the tools of time series econometrics, especially the ADF test, Autoregressive Distributed Lag (ARDL) model, Error Correction Model (ECM), and the Granger causality test. It was found that there is a short-term relationship between the volume of mortgage loans and GDP for all countries, except Poland. Over a longer time series, however, a long-term relationship exists for all of the countries between the volume of mortgage loans and GDP, the mortgage interest rate, and the unemployment rate. The data used is based on a quarterly time series running from 2005Q1 to 2019Q4.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

50206 - Finance

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Journal of economics

ISSN

0013-3035

e-ISSN

—

Svazek periodika

69

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

20

Strana od-do

627-646

Kód UT WoS článku

000697125800004

EID výsledku v databázi Scopus

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