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Spurious Regressions in Financial Economics?
Author(s) -
Ferson Wayne E.,
Sarkissian Sergei,
Simin Timothy T.
Publication year - 2003
Publication title -
the journal of finance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 18.151
H-Index - 299
eISSN - 1540-6261
pISSN - 0022-1082
DOI - 10.1111/1540-6261.00571
Subject(s) - spurious relationship , econometrics , autocorrelation , regression , stock (firearms) , regression analysis , statistics , economics , mathematics , engineering , mechanical engineering
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.