Abstract
This study offers a new evidence for the nonstationary behavior of OECD stock prices using the PANICCA test of Reese and Westerlund (2016) which is a combined approach of the Principal Components-based Panel analysis of Nonstationarity in Idiosyncratic and Common components (PANIC) of Bai and Ng (2004, 2010) and the Cross-section Average (CA) of Pesaran et al. (2013). The results suggest that the nonstationarity evident in OECD stock prices is largely driven by idiosyncratic components while the common factors are stationary. More importantly, it is found that ignoring relevant covariates in the common factor model may lead to wrong conclusions.
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