Fraudulent Presentation of Investment Performance: A Cheat Sheet

Fraudulent presentation involves deceptively exaggerating investment performance to mislead investors into believing an investment is safer or more profitable than it truly is, often through statistical manipulation.

Core Principles

Fraudulent presentation is a deliberate act of deception aimed at making investment performance appear better than reality.
Statistical manipulation uses data tricks to mislead audiences, employing techniques like cherry-picking, apple-to-orange comparisons, and insufficient disclosure.

Action Steps

Identify performance smoothing by looking for manipulated reports that make returns appear more stable than they are.
Detect selective reporting by checking if only profitable investments are disclosed while poor performers are omitted.
Recognize benchmark misrepresentation by verifying if comparisons are made to appropriate and relevant benchmarks.
Analyze the timing of performance reporting to ensure it doesn't artificially capture gains or avoid losses.
Question inflated valuations of assets or portfolios that enhance perceived performance.
Be wary of past performance manipulation, where historical data is retrospectively adjusted to appear more predictive.
Watch for cherry-picking, where only selected favorable data is presented, omitting other relevant information.
Avoid apple-to-orange comparisons by ensuring that compared items are fundamentally similar in size, scope, and nature.
Insist on complete and clear disclosure, as important information left out or presented misleadingly can create a false understanding.

Key Terms

Fraudulent Presentation: The deceptive practice of presenting an investment's performance in a false or exaggerated way to mislead investors.
Statistical Manipulation: The use of data tricks and techniques to mislead an audience, often involving financial or non-financial data.
Performance Smoothing: Manipulating financial reports to make investment returns appear more stable over time than they actually are.
Selective Reporting: Disclosing only profitable investments while omitting those that performed poorly.
Benchmark Misrepresentation: Comparing an investment's performance to inappropriate, irrelevant, or fabricated benchmarks to make returns look favorable.
Inflated Valuation: Overstating the value of assets or portfolios to enhance perceived performance.
Cherry Picking: A form of bias where only selected data is presented to make performance appear more favorable, while other relevant data is omitted.
Apple to Orange Comparison: Comparing two things that are fundamentally different in size, scope, or nature, making the comparison invalid or misleading.
Insufficient or Misleading Disclosure: Leaving out important information or presenting it in a misleading way, causing the audience to form a false or incomplete understanding.

Real World Examples

A business reports an average number that hides both very good profits one month and big losses the next, making the business look steady when it's not.: This is an example of Performance Smoothing.
A company tells investors about two profitable products but doesn't mention three other products that lost money.: This is an example of Selective Reporting.
A company sells high-risk stocks but compares their performance to a safe savings account with much lower returns.: This is an example of Benchmark Misrepresentation.
A company waits to report its profits until after a big sale, avoiding mentioning earlier losses in the year.: This is an example of Timing of Performance Reporting.
A company claims its car is worth $10,000, but it's really only worth $5,000.: This is an example of Inflated Valuation.
A company retrospectively edits old forecast documents to say they predicted actual sales figures, making past decisions appear spot-on.: This is an example of Past Performance Manipulation.
An investment advisor shares the return from just one year when their fund performed very well, ignoring years when performance was poor.: This is an example of Cherry Picking (Financial Data).
A conglomerate compares the revenue of its small book publishing division to its large retail chain, claiming the publishing arm is underperforming.: This is an example of Apple to Orange Comparison (Financial Data).
A company advertises '10% annual returns' but doesn't disclose this rate only applies to investments over Rs. 1 million.: This is an example of Insufficient or Misleading Disclosure (Financial Data).

Timeline

2020: A company launched a new product and forecasted 50,000 units in sales.
2020 (in reality): The product only sold 20,000 units.
2025: The product becomes unexpectedly popular, leading the company to retrospectively edit its 2020 forecast documents to claim they predicted only 20,000 units.

People

Vageesha Rajapakse: Lecturer at SLIIT Business School