Complicated Firms

Lauren Cohen () and Dong Lou ()

FMG Discussion Papers from Financial Markets Group

Abstract: We exploit a novel setting in which the same piece of information affects two sets of firms: one set of firms requires straightforward processing to update prices, while the other set requires more complicated analyses to incorporate the same piece of information into prices. We document substantial return predictability from the set of easy-to-analyse firms to their more complicated peers. Specifically, a simple portfolio strategy that takes advantage of this straightforward vs. complicated information processing classification yields returns of 118 basis points per month. Consistent with processing complexity driving the return relation, we further show that the more complicated the firm, the more pronounced the return predictability. In addition, we find that sell-side analysts are subject to these same information processing constraints, as their forecast revisions of easy-to-analyse firms predict their future revisions of more complicated firms.

Date: 2011-06
New Economics Papers: this item is included in nep-bec and nep-com
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