Article
Version 1
This version is not peer-reviewed
The Language of Stability: A Textual Study of Financial Reports
Version 1
: Received: 24 July 2024 / Approved: 25 July 2024 / Online: 25 July 2024 (15:04:40 CEST)
How to cite: Avetisyan, S. The Language of Stability: A Textual Study of Financial Reports. Preprints 2024, 2024072061. https://doi.org/10.20944/preprints202407.2061.v1 Avetisyan, S. The Language of Stability: A Textual Study of Financial Reports. Preprints 2024, 2024072061. https://doi.org/10.20944/preprints202407.2061.v1
Abstract
Ensuring banking stability is essential for economic resilience and the prevention of financial crises. Financial Stability Reports (FSRs) provide critical data on the financial system. This study advocates for the use of text mining tools to enhance the analysis of FSRs. Text mining offers a systematic method for extracting insights from unstructured data, allowing analysts to uncover detailed information on capital adequacy, risk management, and regulatory compliance. Additionally, this approach identifies emerging trends and vulnerabilities that may not be apparent through traditional analysis methods. The paper examines the application of text mining techniques to FSR analysis within the Republic of Armenia.
Keywords
financial stability reports; finance; central bank; financial stability
Subject
Business, Economics and Management, Finance
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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