About this webinar

Financial statement fraud can remain hidden for years, often concealed through sophisticated accounting manipulations and seemingly legitimate transactions. Traditional audit procedures alone may not detect complex fraud schemes, making advanced analytical techniques an essential part of modern fraud detection and financial investigation.

This practical webinar explores the analytical tools and forensic techniques used to identify potential financial statement fraud. Participants will learn how to detect revenue manipulation, analyze accrual anomalies, test journal entries, evaluate financial ratios, apply Benford's Law, identify cash flow inconsistencies, and leverage forensic data analytics to uncover red flags and strengthen investigative outcomes.

Key Topics Discussed:

Common financial statement fraud schemes
Revenue recognition manipulation and earnings management
Accrual analysis and accounting anomalies
Journal entry testing and unusual transaction analysis
Financial ratio analysis for fraud detection
Applying Benford's Law in forensic investigations
Identifying cash flow inconsistencies and red flags
Using forensic data analytics to detect suspicious patterns
Integrating analytical procedures into audits and investigations
Case studies and lessons from financial statement fraud investigations

This webinar includes:

verifiedCertificate of completion

scheduleNo preparation required

bar_chartAppropriate for all levels

lock1 year access

infoNo prerequisites

Meet Our Expert Speakers

INSTRUCTOR

Alessio Faccia•Assistant Professor in Finance | University of Birmingham Dubai

Dr. Alessio Faccia, an accomplished academic and corporate trainer, has a distinguished finance, accounting, and business background. His expertise spans over 16 years, during which he has notably con...

Credit Information

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Detecting Financial Statement Fraud: Advanced Analytical Techniques