A valuation study of stock market seasonality and the size effect

Abstract

Existing studies on market seasonality and the size effect are largely based on realized returns. In this article, Chen and Jindra investigate seasonal variations and size-related differences in a cross-stock valuation distribution.They use three stock valuation measures, two derived from structural models and one from the book-to-market ratio. The authors find that the average valuation level is highest in mid-summer and lowest in mid-December. Furthermore, the valuation dispersion (kurtosis) across stocks increases toward year-end and reverses direction after the turn of the year, suggesting increased movements in both the underand overvaluation directions. Among size groups, small-cap stocks exhibit the sharpest decline in valuation from June to December and the highest rise from December to January. For most months, small-cap stocks have the lowest valuation among all size groups and show the widest cross-stock valuation dispersion, meaning that they are also the hardest to value. Overall, large-cap stocks enjoy the highest valuation uniformity and are the least subject to valuation seasonality.