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Title: Equilibrium Data Mining

Author(s): Jerome Dugast and Thierry Foucault

Publication Date: April 2021

Keyword(s): Alternative data, Data Abundance, Data mining, Price Informativeness and Search for Information

Programme Area(s): Financial Economics

Abstract: We analyze how computing power and data abundance affect speculators' search for predictors. Speculators search for predictors through trials and optimally stop searching when they find a predictor with a signal-to-noise ratio larger than an endogenous threshold. Greater computing power raises this threshold by reducing search costs. In contrast, data abundance can reduce this threshold because (i) it intensifies competition among speculators and (ii) it increases the average number of trials to find a predictor. We derive implications of these findings for the distribution of asset managers' skills and trading profits and the informativeness of asset prices.

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Bibliographic Reference

Dugast, J and Foucault, T. 2021. 'Equilibrium Data Mining'. London, Centre for Economic Policy Research. https://cepr.org/active/publications/discussion_papers/dp.php?dpno=16019