← Back to Curriculum

Advanced

Advanced Financial Statement Fraud Detection: Beneish M-Score and Altman Z-Score

A concept course on the Beneish M-Score and the Altman Z-Score for senior forensic auditors, chief compliance officers and financial crime investigators. Most practitioners can plug numbers into both formulas; far fewer can explain where the coefficients came from, why the cutoffs sit where they do, what error rates they carry, or why a company can pass one test and fail the other. This course goes underneath both models: Beneish's probit study of earnings manipulators, Altman's discriminant analysis of failed manufacturers, the economic story each variable tells, and how Ind AS and Schedule III reporting changes the inputs for NSE and BSE listed companies. You will then use the two scores together through a manipulation-distress matrix, see how fabricated profits push a Z-Score into the safe zone, work through Satyam and Ricoh India, learn where both models break (banks, NBFCs, holding companies, young companies) and how manipulators stay under the cutoffs, and finish by designing a screening and escalation programme whose evidence holds up before an audit committee.

Beneish M-ScoreAltman Z-ScoreForensic AccountingEarnings Manipulation DetectionBankruptcy Prediction ModelsForensic Screening and Escalation

MODULES

6

DURATION

4 Hours

TRACK

Forensic Accounting & Compliance

What You'll Master

Explain how Beneish and Altman built their models, what each coefficient means and what the original studies did and did not prove

Read every M-Score and Z-Score variable as an economic signal, not just a ratio

Choose cutoffs and model variants deliberately, based on error costs and the type of company

Combine both scores in a manipulation-distress matrix and recognise when manipulation is masking distress

Identify where each model breaks for Indian banks, NBFCs, holding companies and young companies, and what to use instead

Spot the techniques manipulators use to stay under the cutoffs, and supplement the scores with accruals, F-Score and Benford tests

Design a portfolio-wide screen and an escalation protocol whose documentation survives audit committee and regulatory review

Access Level

LEARNER

Start Learning Now →Sign in to resume

Everything included

Full Text Playbooks

Actionable Exercises

Mobile Reading Mode

Lifetime Updates

Curriculum Breakdown

Chapter 1: What Ratio Models Can and Cannot Tell a Forensic Reviewer

3 Lessons

What Quantitative Fraud and Distress Models Actually Measure12 min read

Manipulation vs Distress: Why Beneish and Altman Answer Different Questions13 min read

The Indian Input Problem: Ind AS, Schedule III and Where Model Data Really Comes From14 min read

Chapter 2: The Beneish M-Score in Depth

5 Lessons

Inside Beneish 1999: The Sample, the Probit Model and What the Coefficients Mean15 min read

The Manipulation Signals: DSRI, GMI, AQI, SGI and TATA16 min read

The Pressure and Policy Variables: DEPI, SGAI and LVGI14 min read

Cutoffs and Error Costs: Choosing Between -1.78 and -2.2213 min read

The Five-Variable Model and When It Beats the Eight-Variable Version12 min read

Chapter 3: The Altman Z-Score in Depth

4 Lessons

Altman 1968: How Discriminant Analysis Built the Z-Score14 min read

The Five Ratios as an Economic Story of Corporate Failure15 min read

Z, Z-Prime and Z-Double-Prime: Choosing the Right Model for Indian Companies14 min read

Grey Zones, Zone Migration and Reading a Z-Score Trend13 min read

Chapter 4: Using Both Models Together

4 Lessons

The Manipulation-Distress Matrix: Four Quadrants and What Each Demands14 min read

How Manipulation Inflates the Z-Score and Hides Distress13 min read

Case Study: Satyam and the Z-Score That Looked Healthy16 min read

Case Study: Ricoh India Through Both Lenses16 min read

Chapter 5: Limits, Extensions and Evasion

4 Lessons

Where Both Models Break: Banks, NBFCs, Holding Companies and Young Companies14 min read

Recalibrating for India: Sector Norms, Base Rates and Local Cutoffs14 min read

Beyond M and Z: Sloan Accruals, Piotroski F-Score, Dechow F-Score and Benford's Law16 min read

Gaming the Models: How Sophisticated Manipulators Stay Under the Cutoffs13 min read

Chapter 6: Building a Forensic Screening Programme

3 Lessons

Designing a Portfolio-Wide Screen With screener.in and Exchange Filings15 min read

From Flag to File: Escalation Protocols for Auditors and Compliance Officers14 min read

Documenting Model Evidence So It Survives Audit Committee and Regulatory Review13 min read