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        <title>Financial News as a Proxy of European Central Bank Interest Rate Adjustments</title>
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    <name type="personal">
        <namePart type="given">Davide</namePart>
        <namePart type="family">Paris</namePart>
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    <name type="personal">
        <namePart type="given">Martina</namePart>
        <namePart type="family">Menzio</namePart>
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    <name type="personal">
        <namePart type="given">Elisabetta</namePart>
        <namePart type="family">Fersini</namePart>
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        <dateIssued>2025-09</dateIssued>
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            <title>Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era</title>
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        <name type="personal">
            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Maria</namePart>
            <namePart type="family">Kunilovskaya</namePart>
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        <name type="personal">
            <namePart type="given">Marie</namePart>
            <namePart type="family">Escribe</namePart>
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            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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            <publisher>INCOMA Ltd., Shoumen, Bulgaria</publisher>
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    <abstract>This paper examines the relationship between news coverage and the European Central Bank’s (ECB) interest rate decisions. In particular, the hypothesis of a linear relationship between financial news and ECB indications regarding interest rate variations is investigated by leveraging state-of-the-art large language models combined with domain experts and automatically selected keywords. The analysis revealed two key findings related to how news contents can signal the ECB’s decisions to raise or lower interest rates: (1) Sentence Transformer models, when combined with domain-specific keywords, exhibit a higher correlation with ECB decisions than state-of-the-art financial BERT architectures; (2) employing a grid search strategy to select subsets of informative keywords strengthened the relationships between news contents and ECB’s decisions, highlighting how media narratives can anticipate or reflect central bank policy actions.</abstract>
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        <url>https://aclanthology.org/2025.ranlp-1.104/</url>
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        <date>2025-09</date>
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            <start>907</start>
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%0 Conference Proceedings
%T Financial News as a Proxy of European Central Bank Interest Rate Adjustments
%A Paris, Davide
%A Menzio, Martina
%A Fersini, Elisabetta
%Y Angelova, Galia
%Y Kunilovskaya, Maria
%Y Escribe, Marie
%Y Mitkov, Ruslan
%S Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
%D 2025
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F paris-etal-2025-financial
%X This paper examines the relationship between news coverage and the European Central Bank’s (ECB) interest rate decisions. In particular, the hypothesis of a linear relationship between financial news and ECB indications regarding interest rate variations is investigated by leveraging state-of-the-art large language models combined with domain experts and automatically selected keywords. The analysis revealed two key findings related to how news contents can signal the ECB’s decisions to raise or lower interest rates: (1) Sentence Transformer models, when combined with domain-specific keywords, exhibit a higher correlation with ECB decisions than state-of-the-art financial BERT architectures; (2) employing a grid search strategy to select subsets of informative keywords strengthened the relationships between news contents and ECB’s decisions, highlighting how media narratives can anticipate or reflect central bank policy actions.
%U https://aclanthology.org/2025.ranlp-1.104/
%P 907-914

Markdown (Informal)

[Financial News as a Proxy of European Central Bank Interest Rate Adjustments](https://aclanthology.org/2025.ranlp-1.104/) (Paris et al., RANLP 2025)

• Financial News as a Proxy of European Central Bank Interest Rate Adjustments (Paris et al., RANLP 2025)

ACL

• Davide Paris, Martina Menzio, and Elisabetta Fersini. 2025. Financial News as a Proxy of European Central Bank Interest Rate Adjustments. In Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era, pages 907–914, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.