The prominence of textual data in accounting research has increased dramatically. To assist researchers in understanding and using textual data, this monograph defines and describes common measures of textual data and then demonstrates the collection and processing of textual data using the...

Natural language is a key form of communication in the capital markets. Textual analysis is the application of Natural Language Processing (NLP) to textual data for automated information extraction or measurement. We survey publications in top accounting journals and describe the trend and...

We investigate the market reaction to, and the value-relevance of, information contained in the mandatory transitional documents required by International Financial Reporting Standards 1 (2005). We find significant negative abnormal returns for firms reporting negative earnings reconciliation....

We examine whether cross-firm return predictability is associated with accounting quality (AQ), and find that stock returns of good AQ firms significantly positively predict one-month-ahead stock returns to industry- and size- matched poor AQ firms. In testing a delayed-information-processing...

This case examines the challenges in implementing fair value accounting for mortgage instruments, the role of accounting in the sub-prime crisis, and proposals for revising accounting standards given the crisis

This handbook provides the first systematic attempt to generate a framework and industry-specific models for the measurement of impacts on customers and the environment from use of products and services, in monetary terms, that can then be reflected in financial statements with the purpose of...