The business reporting standard XBRL offers the opportunity to easily extract and analyze a sufficient number of monetary items out of single annual reports for statistical analysis purposes. Using XBRL 10-K reports filed with the SEC EDGAR system, we derive first digit distributions for single...

The financial crisis has highlighted the necessity of discussions on the adequacy of banking regulation and accounting standard-setting for financial institutions. We compare the development of several variables in this context between commercial banks, cooperative banks and savings banks from...

Most of the bankruptcy prediction models developed so far have in common that they are based on quantitative data or more precisely financial ratios. However, useful information can be lost when disregarding soft information. In this work, we develop an automated content analysis technique to...

This study examines whether investors could use Benford's Law as an aid in determining high-risk areas for investing within their process of decision-making. The business reporting standard XBRL offers the opportunity to easily extract and analyze a sufficient number of monetary items out of...

This paper analyzes the role of non-governmental organizations (NGOs) as intermediaries in encouraging the European Union (EU) to adopt International Accounting Standards (IAS). Our analysis begins with the 1973 founding of the International Accounting Standards Committee (IASC), and ends with...

The SEC XBRL mandate enables the gathering of accounting numbers to be fully automatic in a database-like manner which provides vast opportunities for financial analysis. Using this functionality, this study proposes a simple analytical prescreening measure that uses abnormal digit distributions...

The business reporting standard XBRL offers the opportunity to easily extract and analyze a sufficient number of monetary items out of single annual reports for statistical analysis purposes. Using XBRL 10-K reports filed with the SEC EDGAR system, we derive first digit distributions for single...

Most of the bankruptcy prediction models developed so far have in common that they are based on quantitative data or more precisely financial ratios. However, useful information can be lost when disregarding soft information. In this work, we develop an automated content analysis technique to...

The financial crisis has highlighted the necessity of discussions on the adequacy of banking regulation and accounting standard-setting for financial institutions. We compare the development of several variables in this context between commercial banks, cooperative banks and savings banks from...