Recent financial crises and especially large corporate bankruptcies, have led bank managements and financial authorities to follow and monitor both financial and real sector risks, and to focus on firm failures. Bank of International Settlements, has therefore, taken the decision to include the...

Polytope Fraud Theory (PFT) extends the existing triangle and diamond theories of accounting fraud with ten abnormal financial practice alarms that a fraudulent firm might trigger. These warning signals are identified through evaluation of the shorting behavior of sophisticated activist short...

In this paper, we develop FinBERT, a state-of-the-art large language model that adapts to the finance domain. Using a sample of researcher-labeled sentences from analyst reports, we document that FinBERT significantly outperforms the Loughran and McDonald dictionary and other machine learning...

We examine whether empirical results using text-based sentiment of U.S. annual reports depend on the underlying context, within documents, from which sentiment is measured. We construct a clause-level measure of context, showing that sentiment is driven by many different contexts and that...

In the published proceedings of the first Journal of Accounting Research Conference, Vatter [1966] lamented that “Gathering direct and original facts is a tedious and difficult task, and it is not surprising that such work is avoided.” For the fiftieth JAR Conference, we introduce a...

In the published proceedings of the first Journal of Accounting Research Conference, Vatter [1966] lamented that “Gathering direct and original facts is a tedious and difficult task, and it is not surprising that such work is avoided.” For the fiftieth JAR Conference, we introduce a...

This paper investigates the change in the sentiments expressed in the annual reports/10-K filings of the firms in the New Age Technology Sectoral Indices and Nifty IT Index during COVID -19 Pandemic. We use tf.idf Weighted and simple proportion methodologies, and eight word lists from Loughran...

Could real-time big data help unravel material firm events? How would it compare with firm disclosure and traditional media in terms of timeliness and completeness? Could big data provide incremental value-relevant information for investors? With these questions in mind, we use a novel data set...

Could real-time big data help unravel material firm events? How would it compare with firm disclosure and traditional media in terms of timeliness and completeness? Could big data provide incremental value-relevant information for investors? With these questions in mind, we use a novel data set...