The price regression is based on a two-stage regression. In the first stage, P is regressed on industry and country fixed-effect indicator variables, where P is price as of six months after the fiscal year-end. The second-stage regression is P* = f$0 -f f}BVEPS + 02NIPS + e, where P* is the residual from the first-stage regression, ItVEPS is book value of equity per share, and NIPS is net income per share. The good/bad news regression is based on a two-stage regression. In the first stage, NI/P is regressed on industry and country fixed-effect indicator variables. The second-stage regression is [NI/P]* = 0O + 0 RETURN 4- e, where [NI/P]* is the residual from the first-stage regression, and RETURN is stock return computed over the 12 months ending 3 months after year-end- Good (bad) news observations are those for which RETURN is nonnegative (negative). Adjusted R~ is from the second-stage regressions.