Scaling risk and the square-root-of-time rule in the emerging markets： Evidence from the Chinese stock market

This paper examines the square-root-of-time rule that frequently used in volatility estimation to the Chinese stock market that comprises Shanghai and Shenzhen stock market. The Jarque-Bera test conclusively rejects normal distribution of both stock market returns, while the Hurst analysis indicates both stock market returns does not follow a random walk. Furthermore, the tests for volatility scaling indicate volatility of both stock market returns do not scale according to the square-root-of-time rule and lead to bias in risk estimation. Henceforth, the study urges more alternative methods in risk management that suitable for the emerging Chinese stock market.