Objective research and reviews to aid investing decisions
Are factor models universal, or does each group of related stocks have a unique set of factors for predicting differences in future returns? In their September 2007 paper entitled "How Common Are Common Return Factors Across NYSE/AMEX and Nasdaq?", Amit Goyal, Christophe Perignon and Christophe Villa propose a general procedure to identify pervasive risk factors and apply the methodology to identify similarities and differences between the return structures of the specialist-controlled NYSE/AMEX and the computer-driven Nasdaq. Using monthly return data for large samples of NYSE/AMEX and Nasdaq stocks over the period 1978-2002 (25 years), divided into five 60-month subperiods, they find that:
The following table, taken from the paper, summarizes top-level differences in excess (relative to the one-month Treasury bill yield) monthly return statistics for stocks traded on the NYSE/AMEX and Nasdaq over five 60-month subperiods during 1978-2002. NYSE/AMEX has more stocks (N) in early subperiods, while Nasdaq has more in later subperiods. Nasdaq stocks tend to be more volatile than NYSE/AMEX stocks, and this difference has increased over time. Nasdaq stocks also have higher skewness and kurtosis than NYSE/AMEX stocks. These differences support the conclusion from general factor analysis that there are significant differences between the cross-sectional structures of NYSE/AMEX and Nasdaq returns.

In summary, while dominant factors may be common, different groups of stocks require different factor models to explain the variation in returns among individual stocks within them.
For other topics of fundamental interest, see Blog Synthesis: Big Ideas for Investing/Trading.