Investor Search and Asset Prices
Quarterly Journal of Finance
41 Pages Posted: 15 Aug 2024 Last revised: 3 Feb 2025
Date Written: July 01, 2024
Abstract
Firms can have fundamental similarities and relatedness, such as operating in the same geographic area and industries, being customers or suppliers, etc. Understanding these connections has implications for cross-asset return predictability because information can flow through these linkages sluggishly. We introduce a novel peer momentum by linking firms that are co-searched by investors on the SEC EDGAR server. A trading strategy based on this peer momentum generates an annualized return of 13%, and it remains robust when controlling for other peer momentum, known asset pricing anomalies, and firm characteristics. Moreover, it outperforms the shared-analyst peer momentum identified by Ali and Hirshleifer (2020).
Keywords: EDGAR, return predictability, momentum strategy, network theory JEL: G10, G12, G14, G17, L22
JEL Classification: G10, G12, G14, G17, L22
Suggested Citation: Suggested Citation
Hulley, Hardy and Liu, Leo and Phua, Jing Wen Kenny, Investor Search and Asset Prices (July 01, 2024). Quarterly Journal of Finance, Available at SSRN: https://ssrn.com/abstract=4793323 or http://dx.doi.org/10.2139/ssrn.4793323
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