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Disclosure Sentiment: Machine Learning vs. Dictionary Methods

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References

1968An Empirical Evaluation of Accounting Income Numbers6,384 cited
1990Noise Trader Risk in Financial Markets6,259 cited
2011When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks6,003 cited
2007Giving Content to Investor Sentiment: The Role of Media in the Stock Market4,822 cited
2008Annual report readability, current earnings, and earnings persistence2,850 cited
2010The financial reporting environment: Review of the recent literature2,622 cited
2008More Than Words: Quantifying Language to Measure Firms' Fundamentals2,310 cited
2016Textual Analysis in Accounting and Finance: A Survey2,279 cited
2014Measuring Readability in Financial Disclosures1,452 cited
2010The Information Content of Forward‐Looking Statements in Corporate Filings—A Naïve Bayesian Machine Learning Approach1,374 cited
2019Text as Data1,260 cited
2010The Effect of Annual Report Readability on Analyst Following and the Properties of Their Earnings Forecasts1,169 cited
2009The Effect of Disclosures by Management, Analysts, and Business Press on Cost of Capital, Return Volatility, and Analyst Forecasts: A Study Using Content Analysis1,022 cited
2010The Information Content of Mandatory Risk Factor Disclosures in Corporate Filings922 cited

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2017The evolution of 10-K textual disclosure: Evidence from Latent Dirichlet Allocation840 cited

2001A review of the empirical disclosure literature: discussion805 cited

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