63 Pages Posted: 21 Feb 2014 Last revised: 30 Aug 2017
Date Written: August 30, 2017
Information processing filters out the noise in data but it takes time. Hence, low precision signals are available before high precision signals. We analyze how this feature affects asset price informativeness when investors can acquire signals of increasing precision over time about the payoff of an asset. As the cost of low precision signals declines, prices are more likely to reflect these signals before more precise signals become available. This effect can ultimately reduce price informativeness because it reduces the demand for more precise signals (e.g., fundamental analysis). We make additional predictions for trade and price patterns.
Keywords: Asset Price Informativeness, Big Data, FinTech, Information Processing, Markets for Information, Contrarian and momentum trading.
JEL Classification: G10, G12, G14, G30,D61, M41
Suggested Citation: Suggested Citation
Dugast, Jérôme and Foucault, Thierry, Data Abundance and Asset Price Informativeness (August 30, 2017). HEC Paris Research Paper No. FIN-2014-1036; Paris December 2014 Finance Meeting EUROFIDAI - AFFI Paper. Available at SSRN: https://ssrn.com/abstract=2398904 or http://dx.doi.org/10.2139/ssrn.2398904