2022
DOI: 10.1080/23322039.2022.2054525
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Political risk and macroeconomic effect of housing prices in South Africa

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Cited by 3 publications
(2 citation statements)
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“…Mahmoudinia and Mostolizadeh (2022) identified asymmetric short-and long-run effects of the stock market and a long-run effect of the real exchange rate on housing prices in Iran using the NARDL model. By applying Granger causality, Habanabakize and Dickason (2022) found a significant effect of inflation, interest rates, rents, and political risk on housing prices in both the short and long run in South Africa. In addition, Michail and Koursaros (2022) suggested that interest rates, inflation, investment, and housing prices had an impact on the credit standing of banks in Cyprus.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Mahmoudinia and Mostolizadeh (2022) identified asymmetric short-and long-run effects of the stock market and a long-run effect of the real exchange rate on housing prices in Iran using the NARDL model. By applying Granger causality, Habanabakize and Dickason (2022) found a significant effect of inflation, interest rates, rents, and political risk on housing prices in both the short and long run in South Africa. In addition, Michail and Koursaros (2022) suggested that interest rates, inflation, investment, and housing prices had an impact on the credit standing of banks in Cyprus.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Before conducting an econometric analysis, it is important to establish whether the variables under consideration are stationary or not. The significance of stationarity or unit root test is that the use of nonstationary series results in spurious regression which yields false interpretations and erroneous recommendations (Habanabakize & Dickason, 2022). There exist various approaches used in testing the stationarity of a given set of series.…”
Section: Unit Root Testmentioning
confidence: 99%