We document the prevalence and variety of frauds committed by investment managers. We show that prior legal and regulatory violations, conflicts-of-interest, and monitoring disclosures available via the Security and Exchange Commission’s Form ADV are useful for predicting fraud. Additional tests show that fraud by rogue employees is more predictable than firm-wide fraud, but both types of fraud are significantly predictable. We revisit the fraud prediction model of Dimmock and Gerken (2012) and test its performance out-of-sample (using fraud cases discovered since that article’s publication). We find the model has significant predictive power for the out-of-sample cases. To encourage additional research in this area, we have made the data u...
This study identified the risk factors empirically related to corporate fraud in the Philippines. It...
Companies lose an estimated 5% of revenue each year due to occupational fraud. This level of fraud c...
Data mining techniques identify relationships, patterns, trends, and predictive information form lar...
We document the prevalence and variety of frauds committed by investment managers. We show that prio...
We test the predictability of investment fraud using a panel of mandatory disclosures filed with the...
This study aims to cast a light on the importance of fraud risk management control after the 2007-20...
Based on evidence from press articles covering 39 corporate fraud cases that went public during the ...
Recognizing that financial statement fraud is an actual threat to a companys existence, this study d...
ABSTRACT: Fraud in business is a matter of grave social and economic concern. The Treadway Commissio...
This study examines the relationship between company size, slack, return on investment, and the freq...
This study incorporates concepts from accounting and criminology literatures to develop a model of f...
Fraud has become one of the biggest concerns among companies and businesses today. One single case o...
The financial scandals which have appeared in recent times have placed fraud at the heart of economi...
This study investigates the relationship between earnings management and financial statements frauds...
The goal of this dissertation is to improve financial statement fraud detection using a cross-functi...
This study identified the risk factors empirically related to corporate fraud in the Philippines. It...
Companies lose an estimated 5% of revenue each year due to occupational fraud. This level of fraud c...
Data mining techniques identify relationships, patterns, trends, and predictive information form lar...
We document the prevalence and variety of frauds committed by investment managers. We show that prio...
We test the predictability of investment fraud using a panel of mandatory disclosures filed with the...
This study aims to cast a light on the importance of fraud risk management control after the 2007-20...
Based on evidence from press articles covering 39 corporate fraud cases that went public during the ...
Recognizing that financial statement fraud is an actual threat to a companys existence, this study d...
ABSTRACT: Fraud in business is a matter of grave social and economic concern. The Treadway Commissio...
This study examines the relationship between company size, slack, return on investment, and the freq...
This study incorporates concepts from accounting and criminology literatures to develop a model of f...
Fraud has become one of the biggest concerns among companies and businesses today. One single case o...
The financial scandals which have appeared in recent times have placed fraud at the heart of economi...
This study investigates the relationship between earnings management and financial statements frauds...
The goal of this dissertation is to improve financial statement fraud detection using a cross-functi...
This study identified the risk factors empirically related to corporate fraud in the Philippines. It...
Companies lose an estimated 5% of revenue each year due to occupational fraud. This level of fraud c...
Data mining techniques identify relationships, patterns, trends, and predictive information form lar...