IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2510.19203.html
   My bibliography  Save this paper

Aligning Multilingual News for Stock Return Prediction

Author

Listed:
  • Yuntao Wu
  • Lynn Tao
  • Ing-Haw Cheng
  • Charles Martineau
  • Yoshio Nozawa
  • John Hull
  • Andreas Veneris

Abstract

News spreads rapidly across languages and regions, but translations may lose subtle nuances. We propose a method to align sentences in multilingual news articles using optimal transport, identifying semantically similar content across languages. We apply this method to align more than 140,000 pairs of Bloomberg English and Japanese news articles covering around 3500 stocks in Tokyo exchange over 2012-2024. Aligned sentences are sparser, more interpretable, and exhibit higher semantic similarity. Return scores constructed from aligned sentences show stronger correlations with realized stock returns, and long-short trading strategies based on these alignments achieve 10\% higher Sharpe ratios than analyzing the full text sample.

Suggested Citation

  • Yuntao Wu & Lynn Tao & Ing-Haw Cheng & Charles Martineau & Yoshio Nozawa & John Hull & Andreas Veneris, 2025. "Aligning Multilingual News for Stock Return Prediction," Papers 2510.19203, arXiv.org.
    • Handle: RePEc:arx:papers:2510.19203
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2510.19203
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Durand, Robert B. & Khuu, Joyce & Smales, Lee A., 2023. "Lost in translation. When sentiment metrics for one market are derived from two different languages," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Laubsch, Joshua & Smales, Lee A. & Vo, Duc, 2024. "The influence of uncertainty on commodity futures returns and trading behaviour," The Quarterly Review of Economics and Finance, Elsevier, vol. 98(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2510.19203. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.