Dreman's quantitative strategies

David Dreman's quantitative strategies focus on using statistical models and data analysis to identify undervalued stocks. He emphasizes "contrarian investing," which involves buying stocks that are out of favor or overlooked by the market. Dreman's approach utilizes various financial metrics, such as earnings, book value, and price-to-earnings ratios, to find these undervalued opportunities. By relying on data-driven insights rather than market sentiment, Dreman aims to capitalize on discrepancies in stock prices, believing that over time, the market will correct these mispricings, leading to potential profits for investors.