Analyzing 102 "fraudulent" annual reports compared to 306 "non-fraud" reports of similar size and industry.
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Identifying whether certain words or phrases used by management can predict financial misstatements before they are officially discovered.
Financial fraud is extremely costly, and traditional data science often misses subtle indicators hidden in the text of financial reports. Analyzing 102 "fraudulent" annual reports compared to 306
The study, conducted at the University of Stirling , explores how the language used in annual corporate reports (10-K filings) can signal potential fraud.
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The researcher compiled a massive 6.3 million-word corpus by comparing the narrative sections of annual reports from companies indicted for fraud against those of legitimate firms.
