Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116304
Title: Noise trading and asset pricing factors
Authors: Huang, S
Song, Y
Xiang, H 
Issue Date: Aug-2025
Source: Management science, Aug. 2025, v. 71, no. 8, p. 6961-6978
Abstract: We demonstrate that a broad set of asset pricing factors/anomalies are significantly exposed to “noise trader risk,” and the noise trader risk is priced in factor premia. We first confirm that mutual funds’ flow-induced trading of factors are uninformed, as they generate a large price impact on factor returns, followed by a complete reversal. We then show that asset pricing factors are subject to flow-driven noise trader risk in that expected variation (covariation) of flow-induced noise trading strongly forecasts variance (covariance) of factor returns. Importantly, factor premia are higher when flow-driven noise trader risk is expected to be more salient.
Keywords: Anomaly
Factor premia
Noise trader risk
Publisher: Institute for Operations Research and the Management Sciences
Journal: Management science 
ISSN: 0025-1909
EISSN: 1526-5501
DOI: 10.1287/mnsc.2022.01827
Rights: Copyright: © 2024 INFORMS
This is the accepted manuscript of the following article: Shiyang Huang, Yang Song, Hong Xiang (2024) Noise Trading and Asset Pricing Factors. Management Science 71(8):6961-6978, which has been published in final form at https://doi.org/10.1287/mnsc.2022.01827.
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