Contrarian Investment Strategies

Dreman argues that low expectation stocks outperform high expectation stocks systematically, and supports it with long-run data on portfolios sorted by price to earnings, price to book, price to cash flow and dividend yield. His finding is that the cheapest quintile on each measure outperformed the market and the most expensive quintile underperformed, over multiple decades.

His explanation is behavioural. Analysts' earnings forecasts are consistently wrong, and he documents the average error across tens of thousands of estimates as large enough to invalidate any strategy depending on them. Investors extrapolate recent growth and pay high multiples for companies expected to continue, which sets a standard those companies cannot meet.

His most useful contribution is the analysis of earnings surprises. He shows that a positive surprise on a low expectation stock produces a large positive price effect while a negative surprise produces little damage, and that the reverse holds for high expectation stocks, where a positive surprise produces almost nothing and a negative surprise is punished severely. This asymmetry, rather than any characteristic of the businesses, is his explanation for why the strategy works.

He also covers investor psychology, including overconfidence and the tendency to weight case detail over base rates, and gives specific portfolio construction rules covering diversification, sector limits and holding periods. The book has been revised across editions and the data has been extended. Value strategies underperformed substantially in the decade after the most recent edition, which readers should weigh. The earnings surprise asymmetry is the finding that has held up best.

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.

Dreman Value Management, Forbes