The Random Walk Hypothesis for Chinese Stock Markets : Evidence from Variance Ratio Tests

This study examines the random walk hypothesis for the Shanghai and Shenzhen stock markets for both A and B shares, using daily data over the period 1992-2007. The hypothesis is tested with new multiple variance ratio tests – Whang-Kim subsampling and Kim's wild bootstrap tests – as well as the conventional multiple Chow-Denning test. We find that Class B shares for Chinese stock exchanges do not follow the random walk hypothesis, and therefore are significantly inefficient. The Class A shares seem more efficient