Accounting studies routinely encounter observations taking on extreme values. Such observations can influence statistical estimates (coefficient) and inferences. Our survey of the accounting literature documents that the two most common approaches used to address influential observations are...

We propose a new measure of readability, the Bog Index, which captures the plain English attributes of disclosure (e.g., active voice, fewer hidden verbs, etc.). We validate this measure using a series of controlled experiments and an archival-based regulatory intervention to prospectus filing...

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...

The advent of the Great Recession in 2008 was the culmination of a perfect storm of lax regulation, a growing housing bubble, rising popularity of derivatives instruments, and questionable banking practices. In addition to these causes, management incentives, as well as certain US accounting...