Abstract
It seems that the random-walk property of stock prices is well established. However, some studies argue that the mean reversion of the stock prices has its theoretical and empirical support and the conventional unit-root tests have weak power against stationary alternatives. This paper uses unit-root tests in panel data to re-examine the time-series properties of the stock prices as it is claimed that the method can increase the power of the tests substantially even with a small number of cross sections. The test result suggests that we cannot reject the random-walk hypothesis for G-7 country stock-price indices.