Articlebronze2018

Text-Based Industry Momentum

119 citations0/0 files storedJournal of Financial and Quantitative Analysis

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Financial Markets and Investment Strategies Financial Analysis and Corporate Governance Stock Market Forecasting Methods

Abstract

We test the hypothesis that low-visibility shocks to text-based network industry peers can explain industry momentum. We consider industry peer firms identified through 10-K product text and focus on economic peer links that do not share common Standard Industrial Classification (SIC) codes. Shocks to less visible peers generate economically large momentum profits and are stronger than own-firm momentum variables. More visible traditional SIC-based peers generate only small, short-lived momentum profits. Our findings are consistent with momentum profits arising partially from inattention to economic links of less visible industry peers.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 119 citations exist upstream.

References

1992The Cross-Section of Expected Stock Returns 1973Risk, Return, and Equilibrium: Empirical Tests 1993Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency 1985Does the Stock Market Overreact?1997Industry costs of equity 1997A model of investor sentiment /1999A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets 1998A model of investor sentiment1We are grateful to the NSF for financial support, and to Oliver Blanchard, Alon Brav, John Campbell (a referee), John Cochrane, Edward Glaeser, J.B. Heaton, Danny Kahneman, David Laibson, Owen Lamont, Drazen Prelec, Jay Ritter (a referee), Ken Singleton, Dick Thaler, an anonymous referee, and the editor, Bill Schwert, for comments.1

Cited by

2021A Review of Two Decades of Correlations, Hierarchies, Networks and Clustering in Financial Markets 2023Factor Momentum 2022Attention and Underreaction-Related Anomalies 2024Production complementarity and information transmission across industries 2020Where Does the Predictability from Sorting on Returns of Economically Linked Firms Come From?

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.