Results 301 to 310 of about 4,440,100 (389)
Lawyer CEOs and Strategic Disclosure of Litigation Loss Contingencies
Using hand‐collected data, we find that lawyer CEOs, defined as CEOs with a legal education background, tend to make first disclosures about pending litigation cases on a timelier basis for litigation cases that end up with material losses than do non‐lawyer CEOs.
Feng Chen +3 more
wiley +1 more source
This paper develops a framework for understanding how key audit matters (KAMs) can be factored into investors’ risk assessments. Detailed interviews with seasoned investors representing international and regional asset managers and owners confirm that the number and type of reported KAMs are not ‘priced’ directly.
Warren Maroun +2 more
wiley +1 more source
Enhancing fraud detection in banking by integration of graph databases with machine learning. [PDF]
Patil A +5 more
europepmc +1 more source
Exploring the Materiality of Data Breach Disclosures on the Australian Stock Exchange
This study examines Australian Stock Exchange (ASX) data breach announcements to provide insights into the extent and nature of data breach disclosures, as well as the costs, particularly to stakeholder relationships. Using a dataset of all data breach‐related announcements on the ASX, we identify a lack of data breach disclosure and, where disclosures
Jane Andrew +3 more
wiley +1 more source
We investigate the effects of the Public Company Accounting Oversight Board's (PCAOB) international inspection access on the value of cash holdings for non‐US companies. Utilizing a difference‐in‐differences (DiD) research design, we find that investors assign significantly higher value to a non‐US company's cash holdings when the company's non‐US ...
Hsiao‐Tang Hsu, Huichi Huang, Yutao Li
wiley +1 more source
Abstract This study explores the practical impact of blockchain technology (BCT), which contrasts strongly with literature that has predominantly hypothesised BCT's potential to disrupt accounting practice. We interviewed 44 practitioners and academics with knowledge of BCT across 13 countries and industries.
Musbaudeen Titilope Oladejo +3 more
wiley +1 more source
A soft voting ensemble learning approach for credit card fraud detection. [PDF]
Azim Mim M, Majadi N, Mazumder P.
europepmc +1 more source
Adaptive financial fraud detection using graph neural networks and reinforcement learning
Pius Businge +8 more
openalex +1 more source

