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Market efficiency in the age of big data

Martin, Ian W.R. and Nagel, Stefan (2022) Market efficiency in the age of big data. Journal of Financial Economics, 145 (1). 154 - 177. ISSN 0304-405X

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Identification Number: 10.1016/j.jfineco.2021.10.006


Modern investors face a high-dimensional prediction problem: thousands of observable variables are potentially relevant for forecasting. We reassess the conventional wisdom on market efficiency in light of this fact. In our equilibrium model, N assets have cash flows that are linear in J characteristics, with unknown coefficients. Risk-neutral Bayesian investors learn these coefficients and determine market prices. If J and N are comparable in size, returns are cross-sectionally predictable ex post. In-sample tests of market efficiency reject the no-predictability null with high probability, even though investors use information optimally in real time. In contrast, out-of-sample tests retain their economic meaning.

Item Type: Article
Official URL:
Additional Information: © 2021 The Authors
Divisions: Finance
Subjects: H Social Sciences > HG Finance
H Social Sciences > HB Economic Theory
JEL classification: G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency; Event Studies
G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing; Trading volume; Bond Interest Rates
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C11 - Bayesian Analysis
Date Deposited: 15 Dec 2021 09:18
Last Modified: 14 Jun 2022 08:27

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