Pricing and Mispricing of Accounting Fundamentals in the Time‐Series and in the Cross Section
研究仅用历史账面价值、盈利、股利和增长等会计信息构建的估值模型，能解释横截面股价变动的60%以上，并识别出被错误定价的股票，其预测的未来超额收益在特定条件下更显著。
Abstract This study examines the extent to which parsimonious and general cross‐sectional valuation models, restricted to include only publicly available historical accounting information, explain share prices in the cross section, identify periods when market mispricing may be more pervasive, and also identify which shares within those cross sections are more likely to be mispriced. Our model simply includes historical book value, earnings, dividends, and growth, but it explains on average over 60 percent of the cross‐sectional variation in share prices in annual estimations across 1975–2011. We also examine the extent to which the residuals indicate mispricing. The quintile of stocks picked by our model as most likely underpriced outperform the quintile of stocks picked as most likely overpriced by an average of 9.9 percent over the following 12 months, after controlling for size. We also predict and find that value residuals are better predictors of future abnormal returns: (i) among firms that are not covered by analysts; (ii) among firms that face fewer accounting measurement challenges; and (iii) when we estimate value model parameters by industry/year. We also predict and find our approach works better in periods when the mapping of fundamentals into prices is weaker. This study contributes a novel and straightforward approach to map accounting fundamentals into share prices in order to identify mispricing in time‐series and in the cross section.