Dreman's first book set out the contrarian value approach he developed over a long career, arguing that stocks with low expectations outperform because analysts and investors systematically overestimate the prospects of favoured companies and underestimate those of disliked ones.
His evidence is empirical. Dreman analysed analyst earnings forecasts and found that consensus estimates were wrong by large margins on average, that the errors were biased optimistic, and that the errors were largest for the companies with the highest expectations. From this he argues that the low price-to-earnings, low price-to-book and low price-to-cash-flow deciles outperform, and that the mechanism is the surprise effect: when a favoured company misses, the disappointment is large because the expectation was high, while a disliked company that beats produces a large positive reassessment.
He was among the first practitioners to build a value approach explicitly on behavioural evidence rather than on Graham's balance sheet logic, drawing on Kahneman and Tversky's work while it was still new.
The book is from 1979 and Dreman restated and updated the argument several times, most fully in Contrarian Investment Strategies: The Next Generation. The empirical work has been superseded by the academic value literature that followed, and the underperformance of price-to-book screens since the mid-2000s complicates the specific criteria. The analyst forecast error evidence and the surprise mechanism have held up.
Value investors who want the behavioural evidence for contrarian criteria, in the original statement of an argument the author later updated.
Founder and chairman of Dreman Value Management and a long-running Forbes columnist.
Contrarian Investment Strategies documents the long-run return advantage of low price-to-earnings, price-to-book and price-to-cash-flow stocks across decades of data, and attributes it to systematic forecasting errors by analysts rather than to hidden risk. The work supplies both the evidence base for contrarian portfolios and the operating rules they need, including sell discipline and position limits.
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