The random walk of stock prices: evidence from a panel of G-7 countries
Zhen Zhu
Abstract
Zhen Zhu
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.
OpenAlex reports 26 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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.
Key concepts: Random walk hypothesis, Mean reversion, Stock (firearms), Random walk, Unit root, Econometrics, Economics, Panel data