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Unlocking financial insights: decoding sentiment in annual reports to transform bank risk and performance metrics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F25%3A39923593" target="_blank" >RIV/00216275:25410/25:39923593 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1504/IJSTM.2025.149170" target="_blank" >https://doi.org/10.1504/IJSTM.2025.149170</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1504/IJSTM.2025.149170" target="_blank" >10.1504/IJSTM.2025.149170</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Unlocking financial insights: decoding sentiment in annual reports to transform bank risk and performance metrics

  • Original language description

    One of outstanding issues of Pillar 3 information disclosure is to increase the relatively low interest of stakeholders of commercial banks operating in the CEE region in Pillar 3 information. The aim of this paper is to investigate the relations between the sentiment expressed in different sections of annual reports and the performance and risk indicators, disclosed as part of the Pillar 3 disclosures, of a commercial bank operating in CEE country. We examined risk and performance indicators in the context of textual disclosures of six sections of the annual reports. We found out that sections the supervisory board and board of directors presented the weakest dependence followed by external environment and results. The strongest dependence has been found in sections assessment and information on expected economic and financial situation in upcoming year.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

    <a href="/en/project/GA22-22586S" target="_blank" >GA22-22586S: Aspect-based sentiment analysis of financial texts for predicting corporate financial performance</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Services Technology and Management

  • ISSN

    1460-6720

  • e-ISSN

    1741-525X

  • Volume of the periodical

    30

  • Issue of the periodical within the volume

    2-3

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    17

  • Pages from-to

    "182 "- 197

  • UT code for WoS article

    001596679700002

  • EID of the result in the Scopus database

    2-s2.0-105019589150