Analyzes stock price fluctuations within a vector autoregressive (VAR) framework using Granger causality tests and Sims' innovation accounting. Selection of model variables that account for substantial proportions of the forecast error variance of stock prices; Methodological considerations; Important implication of the findings; Sensitivity of results to choice of interest rates; Conclusion.