Can Language Predict Bankruptcy? The Explanatory Power of Tone in 10-K Filings
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 315-343 |
Journal / Publication | Accounting Perspectives |
Volume | 16 |
Issue number | 4 |
Online published | 12 Dec 2017 |
Publication status | Published - 2017 |
Externally published | Yes |
Link(s)
Abstract
We examine whether the language used in 10-K filings reflects a firm's risk of bankruptcy. Our sample contains 424 bankrupt U.S. companies in the period 1994–2015 and we use propensity score matching to find healthy matches. Based on a logit model of failing and vital firms, our findings indicate that firms at risk of bankruptcy use significantly more negative words in their 10-K filings than comparable vital companies. This relationship holds up until three years prior to the actual bankruptcy filing. With our investigation, we confirm the results from previous accounting and finance research. 10-K filings contain valuable information beyond the reported financials. Additionally, we show that 10-Ks filed in the year of a firm's collapse contain an increased number of litigious words relative to healthy businesses. This indicates that the management of failing firms is already dealing with legal issues when reporting financials prior to bankruptcy. Our results suggest that analysts ought to include the presentation of financials in their assessment of bankruptcy risk as it contains explanatory and predictive power beyond the financial ratios.
Research Area(s)
- Bankruptcy, Language analysis, Sentiment
Citation Format(s)
Can Language Predict Bankruptcy? The Explanatory Power of Tone in 10-K Filings. / LOPATTA, Kerstin; GLOGER, Mario Albert; JAESCHKE, Reemda.
In: Accounting Perspectives, Vol. 16, No. 4, 2017, p. 315-343.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review