The article explores whether we can predict stock market returns using simple models and business cycle variables. By treating models and estimation windows as variables, the authors found evidence of predictability related to business cycles. Their optimal models, based on real-time data, significantly explained future stock market returns and outperformed historical averages. Investment strategies based on these forecasts improved risk-return trade-offs compared to holding onto stocks.