Automatic Analysis of Annual Financial Reports: A Case Study



Document title: Automatic Analysis of Annual Financial Reports: A Case Study
Journal: Computación y sistemas
Database: PERIÓDICA
System number: 000423284
ISSN: 1405-5546
Authors: 1
1
2
2
2
1
1
Institutions: 1Jozef Stefan Institute, Ljubljana. Eslovenia
2University of Ljubljana, Faculty of Economics, Ljubljana. Eslovenia
Year:
Season: Oct-Dic
Volumen: 21
Number: 4
Country: México
Language: Inglés
Document type: Artículo
Approach: Aplicado, descriptivo
English abstract The main goal of reporting in the financial system is to ensure high quality and useful information about the financial position of firms, and to make it available to a wide range of users, including existing and potential investors, financial institutions, employees, the government, etc. Formal reports contain both strictly regulated, financial sections, and unregulated, narrative parts. Our research starts from the hypothesis that there is a relation between business performance and not only content, but also the linguistic properties of unregulated parts of annual reports. In the paper we first present our dataset of financial reports and the techniques we used to extract the unregulated textual parts. Next, we introduce our approaches of differential content analysis and analysis of correlation with financial aspects. The differential content analysis is based on TF-IDF weighting and is aimed at finding the characteristic terms for each year (i.e. the terms which were not prevailing in the previous reports by the same firm). For correlation of linguistic characteristics of reports with financial aspects, an array of linguistic features was considered and selected financial indicators were used. Linguistic features range from measurements, such as personal/impersonal pronouns ratio, to assessments of characteristics like financial sentiment, trust, doubt, and discursive features expressing certainty, modality, etc. While some features show strong correlation with industry (e.g., shorter and more personal reports by IT industry compared to automotive industry), doubt, communication – as well as necessity and cognition words to some extent – are positively correlated with failure
Disciplines: Ciencias de la computación,
Literatura y lingüística
Keyword: Lingüística aplicada,
Análisis diferencial de contenido,
Características lingüísticas,
Reportes financieros,
Indicadores financieros
Keyword: Applied linguistics,
Differential content analysis,
Linguistic characteristics,
Financial reports,
Financial indicators
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