Abstract
The purpose of this study was to examine a linear and a nonlinear causality between apartment sale prices and apartment jeonse prices in Korea. The non-parametric method for the nonlinear causality test was adopted to avoid model specification errors. Our empirical results showed that a feedback relationship between two prices is observed on both linear and nonlinear tests. When we included interest rates, stock prices and exchange rates to control the macroeconomic conditions, there was the feedback relationship between the apartment sale price index and the apartment jeonse price index on the both tests. However, the nonlinear test with the bivariate BEKK-GARCH model demonstrated that the apartment jeonse price index Granger-caused the apartment sale price index. This implied that the changes in apartment jeonse prices has an ability to predict apartment sale prices. Our results suggested that investors and policy makers should consider fluctuations in apartment jeonse prices for investment decisions and for establishing the real estate policies.
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