EconStor Community: Friedrich-Alexander University Erlangen-Nuremberg, Chair of Accounting and Auditing
http://hdl.handle.net/10419/23952
Friedrich-Alexander University Erlangen-Nuremberg, Chair of Accounting and Auditing2024-03-19T12:26:14ZPotentielle Risikofaktoren für die Erhöhung der Betriebsprüfungswahrscheinlichkeit - Eine analytische und empirische Untersuchung auf Basis der E-Bilanz-Taxonomie 6.0 -
http://hdl.handle.net/10419/168562
Title: Potentielle Risikofaktoren für die Erhöhung der Betriebsprüfungswahrscheinlichkeit - Eine analytische und empirische Untersuchung auf Basis der E-Bilanz-Taxonomie 6.0 -
Authors: |aHenselmann, Klaus|i113722834; Haller, Stefanie
Abstract: Das Gesetz zur Modernisierung des Besteuerungsverfahrens (StModernG) gestattet es der deutschen Finanzverwaltung die Daten der sog. E-Bilanz (§ 5b EStG) in ihrem fiskalischen Risikomanagement-System auszuwerten. Dies kann zur gezielten Auswahl von Unternehmen für eine spätere Betriebsprüfung genutzt werden. Details zur Ausgestaltung des Risikomanagement-Systems auf Basis der E-Bilanz-Datensätze sind bislang nicht bekannt.
Der Beitrag identifiziert mögliche Risikofaktoren, deren Auftreten in einer vom Steuerpflichtigen einge¬reichten E-Bilanz dazu führen könnte, dass sein Unternehmen im Risikomanagement-System der Finanzverwaltung als risikoreich eingestuft wird. Als Risikofaktoren gelten dabei Sachverhalte oder Umstände, die Indizien für eine erhöhte Fehleranfälligkeit oder für aggressive Steuervermeidungsstrategien sind. Alle XBRL-Tags der E-Bilanz Taxonomie 6.0 werden in Hinblick auf solche Risiken analysiert und klassifiziert. Die Ergebnisse werden durch strukturierte Expertenbefragungen auf ihre Relevanz für die Praxis der Betriebsprüfung hin validiert.2017-01-01T00:00:00ZThe Effects of the Financial Crisis on Cooperative Banks in Europe – A Critical Comparison –
http://hdl.handle.net/10419/161671
Title: The Effects of the Financial Crisis on Cooperative Banks in Europe – A Critical Comparison –
Authors: Henselmann, Klaus; Ditter, Dominik; Lupp, Philipp
Abstract: 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 2005 through 2013, in order to
investigate whether smaller banks such as cooperative banks or savings banks
tended to be more robust to the financial crisis. We find that the volume of lending
(loan loss provisioning) remained stable or increased (decreased) for smaller financial
institutions. Furthermore, there is no significant increase in loss avoidance behavior
specifically for cooperative banks. Cooperative banks are also the group of
banks that showed the least pro-cyclical effects and the most income smoothing behavior.
Our results suggest that cooperative banks were the group of banks being
most stable during the years surrounding the financial crisis in 2007/2008. This
demonstrates the importance that policy makers consider the broad range of financial
institutions for discussions on policy adjustments.2016-01-01T00:00:00ZApplying Benford's Law to individual financial reports: An empirical investigation on the basis of SEC XBRL filings
http://hdl.handle.net/10419/88418
Title: Applying Benford's Law to individual financial reports: An empirical investigation on the basis of SEC XBRL filings
Authors: Henselmann, Klaus; Scherr, Elisabeth; Ditter, Dominik
Abstract: 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 companies and measure the deviation from the Benford distribution. On average, we find that for all monetary numbers that are contained in the examined XBRL reports, the first digit distribution follows Benford's Law. Furthermore, our results indicate several line items with an abnormal digit frequency potentially indicating human interaction. Taken together, the empirical results suggest that the application of Benford's Law to financial reports might be a useful analytical tool for investors. The findings also may be of interest to the SEC for planning enforcement actions, as digit analysis could be an appropriate means of identifying suspect line items carrying a higher level of risk.2013-01-01T00:00:00ZContent analysis of XBRL filings as an efficient supplement of bankruptcy prediction? Empirical evidence based on US GAAP annual reports
http://hdl.handle.net/10419/58246
Title: Content analysis of XBRL filings as an efficient supplement of bankruptcy prediction? Empirical evidence based on US GAAP annual reports
Authors: Henselmann, Klaus; Scherr, Elisabeth
Abstract: 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 assess the bankruptcy risk of companies using XBRL tags. We develop a list of potential red flags based on the U.S. GAAP taxonomy and assign the elements to 2 categories and 7 subcategories. Then we test our red flag item list based on U.S. GAAP annual reports of 26 companies with Chapter 11 bankruptcy filings and a control group. The empirical results show that in total, the red flag item list has predictive power of bankruptcy risk. Logistic regression results also show that the predictive power increases the nearer the bankruptcy filing date approaches. We furthermore observe that the category 2 red flags (bankruptcy characteristics and influencing factors) have higher discriminatory power than category 1 red flags (earnings management indicators) for one year before the bankruptcy filing date. This difference narrows for two years before the bankruptcy filing date and may turn in favor of category 1 red flags for three years before the bankruptcy filing date.2012-01-01T00:00:00Z