In this paper we analyze the theoretical implications of sorting data into groups and then running asset pricing tests within each group. We show that the way this procedure is implemented introduces a severe bias in favor of rejecting the model under consideration. By simply picking enough groups to sort into even the true asset pricing model can be shown to have no explanatory power within each group.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Technical Working Papers with number
0235.
Length: Date of creation: Sep 1998 Date of revision: Handle: RePEc:nbr:nberte:0235
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Find related papers by JEL classification: G12 - Financial Economics - - General Financial Markets - - - Asset Pricing C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
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