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Opinion Mining for Relating Subjective Expressions and Annual Earnings in US Financial Statements

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  • Chien-Liang Chen
  • Chao-Lin Liu
  • Yuan-Chen Chang
  • Hsiang-Ping Tsai

Abstract

Financial statements contain quantitative information and manager's subjective evaluation of firm's financial status. Using information released in U.S. 10-K filings. Both qualitative and quantitative appraisals are crucial for quality financial decisions. To extract such opinioned statements from the reports, we built tagging models based on the conditional random field (CRF) techniques, considering a variety of combinations of linguistic factors including morphology, orthography, predicate-argument structure, syntax, and simple semantics. Our results show that the CRF models are reasonably effective to find opinion holders in experiments when we adopted the popular MPQA corpus for training and testing. The contribution of our paper is to identify opinion patterns in multiword expressions (MWEs) forms rather than in single word forms. We find that the managers of corporations attempt to use more optimistic words to obfuscate negative financial performance and to accentuate the positive financial performance. Our results also show that decreasing earnings were often accompanied by ambiguous and mild statements in the reporting year and that increasing earnings were stated in assertive and positive way.

Suggested Citation

  • Chien-Liang Chen & Chao-Lin Liu & Yuan-Chen Chang & Hsiang-Ping Tsai, 2012. "Opinion Mining for Relating Subjective Expressions and Annual Earnings in US Financial Statements," Papers 1210.3865, arXiv.org.
    • Handle: RePEc:arx:papers:1210.3865
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    1. Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
    2. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
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    Cited by:

    1. Yuan Song & Hongwei Wang & Maoran Zhu, 2018. "Sustainable strategy for corporate governance based on the sentiment analysis of financial reports with CSR," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-14, December.

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