Tim Strauts, Morningstar analyst, explains how he uses quantative equity ratings to identify those undervalued stocks: "The quantitative equity ratings were created to expand upon and complement Morningstar's Analyst Ratings by replicating their fair value outputs using a machine-learning algorithm known as a random forest. The algorithm only requires twelve easily attainable inputs per company, allowing the model to estimate the price/fair value for a large number of stocks."
Tim believes that "...the U.S. market is generally overvalued. But if you are looking for some opportunities, large-cap value and wide-moat companies with low uncertainty are the places to look."