Spurious Regressions in Financial Economics?Wayne E. Ferson, Sergei Sarkissian, Timothy Simin
NBER Working Paper No. 9143 Even though stock returns are not highly autocorrelated, there is a spurious regression bias in predictive regressions for stock returns related to the classic studies of Yule (1926) and Granger and Newbold (1974). Data mining for predictor variables interacts with spurious regression bias. The two effects reinforce each other, because more highly persistent series are more likely to be found significant in the search for predictor variables. Our simulations suggest that many of the regressions in the literature, based on individual predictor variables, may be spurious Published: Ferson, Wayne, Timothy Simin, and Sergei Sarkissian. "Spurious regressions in Financial Economics?" Journal of Finance 58 (August 2003): 1393-1414. This paper is available as PDF (201 K) or via email.
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