This study examined the long-run relationship between housing prices and stock prices using a vector error correction model (VECM) and discussed its indication. The result of the study is as follows. First, the variables of housing prices, expected appreciation rate of housing price, stock prices, and interest rates have been proved to be in a long-run equilibrium relationship by sharing one co-integration with the level of significance at 5%. Second, it has been found that the estimated coefficients in the error correction terms have the same signs as the theoretical signs, and the long-run elasticity of the housing prices for the fluctuation in the expected appreciation rate of housing price, stock prices, and interest rates are 14.485,-0.060, and -7.772, respectably. Third, when the prices deviated from the long-run equilibrium because the absolute value of the coefficient of the error correction term was –0.047 which was larger than other variables, they return to the long-run equilibrium by adjusting the stock prices. Above results indicate that the stock prices have more influence on the long-term variability of housing prices rather than to the short-term variability of housing prices. Therefore, it is suggested to consider stocks as replacement assets for real estate investment.