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This study examines predicability and volatility in three major stock markets, (the US, UK, and Japan) using the Vector Autoregressive Approach and the Multivariate Autoregressive Conditional Heteroskedastic‐in‐mean (ARCH‐M) approach. We find that in the three markets: a) stock returns are predictable, and b) there is persistence in the variance of stock returns, and c) predictability and persistence are attributed to common sources of information.

This article examines predictability of returns and volatily in three major stock markets, the U.S., U.K., and Japan, using the Vector Autoregrassive and the Autoregressive Conditional Heteroskedastic (ARCH) approaches. We find that in all three markets dividendprice ratios and/or dividend growth rates predict returns. Moreover, there is persistence in the variance of stock returns attribute to the innovations related to the same variables.