J 2021

Impact of Macroeconomic Indicators on Mortgage Loans in the V4

KRKOŠKOVÁ, Radmila a Zuzana SZKORUPOVÁ

Základní údaje

Originální název

Impact of Macroeconomic Indicators on Mortgage Loans in the V4

Autoři

KRKOŠKOVÁ, Radmila (203 Česká republika, garant, domácí) a Zuzana SZKORUPOVÁ (703 Slovensko, domácí)

Vydání

Journal of economics, 2021, 0013-3035

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50206 Finance

Stát vydavatele

Slovensko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impact of Macroeconomic Indicators on Mortgage Loans in the V4

Kód RIV

RIV/47813059:19520/21:A0000218

Organizační jednotka

Obchodně podnikatelská fakulta v Karviné

DOI

http://dx.doi.org/10.31577/ekoncas.2021.06.04

UT WoS

000697125800004

Klíčová slova anglicky

ADF test; ARDL model; ECM; Granger causality test; mortgage loans; V4

Štítky

impakt
Změněno: 11. 10. 2021 16:01, Mgr. Radmila Krkošková, Ph.D.

Anotace

V originále

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.
Zobrazeno: 23. 11. 2024 02:15