详情
How Predictable Is the Chinese Stock Market?
We analyze return predictability for the Chinese stock market, including the aggregate market
portfolio and the components of the aggregate market, such as portfolios sorted on industry,
size, book-to-market and ownership concentration. Considering a variety of economic variables
as predictors, both in-sample and out-of-sample tests highlight significant predictability
in the aggregate market portfolio of the Chinese stock market and substantial differences in return
predictability across components. Among industry portfolios, Finance and insurance, Real
estate, and Service exhibit the most predictability, while portfolios of small-cap and low ownership
concentration firms also display considerable predictability. Two key findings provide
economic explanations for component predictability: (i) based on a novel out-of-sample decomposition,
time-varying macroeconomic risk premiums captured by the conditional CAPM
model largely account for component predictability; (ii) industry concentration and market
capitalization significantly explain differences in return predictability across industries, consistent
with the information-flow frictions emphasized by Hong, Torous, and Valkanov (2007).