Uncovering interfirm links through textual topic similarity : A comomentum analysis in financial markets
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 101446 |
Journal / Publication | British Accounting Review |
Online published | 31 Jul 2024 |
Publication status | Online published - 31 Jul 2024 |
Link(s)
Abstract
Using an unsupervised topic modelling methodology, we construct a cross-firm similarity measure based on the various topics extracted from Management Discussion and Analysis texts. Our findings indicate that the returns of firms with similar textual topics predict the focal firms’ future stock returns. A long-short portfolio constructed on this basis yields an annualised alpha of 17.03%. Further analyses show that the return predictability is stronger for stocks subject to limited investor attention and limits to arbitrage. Additionally, our textual linkage measure can also predict future earnings surprises. Overall, mispricing due to sluggish information incorporation acts as a potential explanation for return predictability. © 2024 Elsevier Ltd
Research Area(s)
- MD&A, Momentum, Stock returns, Textual analysis
Citation Format(s)
Uncovering interfirm links through textual topic similarity: A comomentum analysis in financial markets. / Zhang, Zhiyu; Qiao, Zheng; Ge, Yao et al.
In: British Accounting Review, 31.07.2024.
In: British Accounting Review, 31.07.2024.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review