The purpose of this study is to investigate the causal relationship among the returns of industries, stock market index, and macroeconomics variables, using an error correction model. The data consist of monthly returns for all stocks listed on the Taiwan Stock Exchange (TWSE) market from June 1988 to December 2007, compiled from the Datastream database. Evidence is found that information appear to diffuse slowly from some industries to the stock market as the lagged returns of these industries are able to predict the return of the stock market. In addition, the predictive ability of an industry's return is strongly correlated with its capability of forecasting the macroeconomic indicator that reflects a nation's economic conditions.