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Uncovering interfirm links through textual topic similarity: A comomentum analysis in financial markets

  • Zhiyu Zhang
  • , Zheng Qiao*
  • , Yao Ge*
  • , Zhe Shen*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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
Original languageEnglish
Article number101446
JournalBritish Accounting Review
Online published31 Jul 2024
DOIs
Publication statusOnline published - 31 Jul 2024

Research Keywords

  • MD&A
  • Momentum
  • Stock returns
  • Textual analysis

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