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- W159894519 abstract "We conduct Monte Carlo simulations of principal components analyses of unrelated time series in order to investigate whether the stationarity properties of the data matter, as they do for least-squares regression analysis. We find that for stationary series the results are standard and reflect the lack of a relationship. For non-stationary series however spurious common factors may persist in large samples." @default.
- W159894519 created "2016-06-24" @default.
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- W159894519 date "2012-10-01" @default.
- W159894519 modified "2023-09-27" @default.
- W159894519 title "Spurious Common Factors" @default.
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