Bucknell professor Kate Suslava has helped author a study that could offer an analytical roadmap for investors to produce more success in correctly picking stocks to invest in.
For years, Freeman College of Management Professor Kate Suslava has examined the coded language executives use in corporate disclosures, using the “language of business” that has long guided financial reporting for centuries to give AI models the structure they need to produce consistent and decision-useful signals.

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