War Discourse and Financial Markets: Some Concerns

One of the key issues in finance is whether sentiment is related to stock prices. Sentiment can influence prices via its effect on investors’ moods. A recent innovation in this space has been to perform text analysis on newspaper articles. A recent technique that is applied for this purpose is supervised Latent Dirichlet Allocation (sLDA), which allows articles to be scored based on topics such as War, Conflict, Financial Crisis, and so on. This work clarifies some issues surrounding two research papers published and forthcoming on the subject of whether war discourse in the New York Times predicts returns. One paper indicates that war discourse positively predicts next-month ahead market returns. The rationale is that the sentiment surrounding war discourse suppresses current prices and thus increases future expected returns. The second paper argues that loadings (betas) on the war factor command negative premia in the cross-section of stock returns. The rationale is that people require lower returns on stocks that form a hedge against the war factor. In this paper, I take a deeper look at the papers’ findings. I argue that authors are making judgment calls that need to be discussed and disclosed, and that the results are not robust.

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Publication Details

Journal
Journal of Finance and Accounting
Published
2025-10-27
DOI
https://doi.org/10.11648/j.jfa.20251305.12
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.00
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article

War Discourse and Financial Markets: Some Concerns

Avanidhar Subrahmanyam
Journal of Finance and Accounting
Sentiment Analysis and Opinion Mining
article

War Discourse and Financial Markets: Some Concerns

Avanidhar Subrahmanyam
article en

Abstract

One of the key issues in finance is whether sentiment is related to stock prices. Sentiment can influence prices via its effect on investors’ moods. A recent innovation in this space has been to perform text analysis on newspaper articles. A recent technique that is applied for this purpose is supervised Latent Dirichlet Allocation (sLDA), which allows articles to be scored based on topics such as War, Conflict, Financial Crisis, and so on. This work clarifies some issues surrounding two research papers published and forthcoming on the subject of whether war discourse in the New York Times predicts returns. One paper indicates that war discourse positively predicts next-month ahead market returns. The rationale is that the sentiment surrounding war discourse suppresses current prices and thus increases future expected returns. The second paper argues that loadings (betas) on the war factor command negative premia in the cross-section of stock returns. The rationale is that people require lower returns on stocks that form a hedge against the war factor. In this paper, I take a deeper look at the papers’ findings. I argue that authors are making judgment calls that need to be discussed and disclosed, and that the results are not robust.

Journal of Finance and AccountingVol. 13(5)
University of California, Los Angeles (US), Anderson University - South Carolina (US)
Openalex Percentile: Top 82%
Sentiment Analysis and Opinion Mining
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