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AbstractWe evaluate the informational content of ex post and ex ante predictors of periods of excess stock (market) valuation. For a cross section comprising 10 OECD economies and a time span of at most 40 years alternative binary chronologies of price bubble periods are determined. Using these chronologies as dependent processes and a set of macroeconomic and financial variables as explanatory variables, logit regressions are carried out. With model estimates at hand, both in-sample and out-of-sample forecasts are made. Overall, the degree of ex ante predictability is limited if an analyst targets the detection of particular turning points of market valuation. The set of 13 potential predictors is classified in measures of macroeconomic or monetary performance, stock market characteristics, and descriptors of capital valuation. The latter turn out to have strongest in-sample and out-of-sample explanatory content for the emergence of price bubbles. In particular, the price to book ratio is fruitful to improve the ex-ante signalling of stock price bubbles.Keywords: Stock market bubbles; out-of-sample forecasting; financial ratios; OECD countries.JEL classification: G01; G17; E27. ¶ We thank Christian Dreger and Hans-Eggert Reimers for their helpful suggestions. Moreover, we thank Martin Everts for the provision of his Matlab code designed to implement the quarterly Bry-Boschan procedure for the identification of stock price bubbles and Matthias Hartmann and Wieland Hoffmann for computational support and data handling.