Using monthly returns for over 27,000 stocks from 49 countries over a three-decade period, we show that a multifactor model that includes factor-mimicking portfolios based on momentum and cash flow-to-price captures significant time series variation in global stock returns, and has lower pricing...

This study seeks to identify which factors are important for explaining the time-series and cross-section variation in global stock returns. We evaluate firm characteristics, like size, earnings/price, cash flow/price, dividend/price, book-to-market equity, leverage, momentum, that have been...