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 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 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...

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...

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 combination of experts' probability distributions involved in a due diligence is valuable for encapsulating the accumulated information for decision makers and providing the current state of expert opinion regarding important uncertainties. Therefore, this paper shows how to create and...

Valuation always has to deal with uncertainty. The paper provides an overview and illustration of how Monte Carlo simulation can enrich the due diligence process. Therefore, the four major software offerings on the market today are reviewed. The investigation addresses different characteristics...