Unadjusted Misstatement Summary Pass-Fail Evaluation
Net signed unadjusted misstatements and compare their absolute total with caller-supplied materiality after a selected safety margin.
Description
Signed misstatements can offset in a net aggregate.
Signed misstatements can offset in a net aggregate. A safety margin reduces the amount available for this quantitative comparison.1
The returned values include Effective materiality, Net misstatement, Remaining effective materiality, Exceeds effective materiality. The How section below explains the calculation, input rules and interpretation.
When to use Unadjusted Misstatement Summary Pass-Fail Evaluation
Use Unadjusted Misstatement Summary Pass-Fail Evaluation when you need to evaluate the supplied records under the calculation and evidence rules below. Netting can conceal large gross errors. No qualitative factors, permitted offsetting or audit opinion is determined.
Prepare source-backed observations and the applicable engagement policy before entering facts. Use consistent monetary units and periods. Supply all boolean evidence flags explicitly, and treat a successful screen as a reason to continue professional review.
How to use Unadjusted Misstatement Summary Pass-Fail Evaluation and understand its results
- Prepare source-backed observations and the applicable engagement policy before entering facts. Use consistent monetary units and periods. Supply all boolean evidence flags explicitly, and treat a successful screen as a reason to continue professional review.
- Enter materiality, misstatements, safetyMarginPercent using the field table and calculation rules, then run the tool.
- Read effectiveMateriality, netMisstatement, remainingMateriality, exceedsMateriality. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| materiality | Overall financial-statement materiality. | number; minimum: 0 | Required |
| misstatements | Signed known and uncorrected misstatements. | list of number | Required |
| safetyMarginPercent | Percentage of materiality reserved as a safety margin. | number; minimum: 0 | Required |
Require finite positive materiality, safety margin0≤x<100 and finite signed list, possibly empty. Checked-sum and normalize zero. Return effective amount, net, effective−abs(net) headroom and flag abs(net)>effective. Equality does not exceed.
effective=materiality×(1−margin/100); net=sum(signedMisstatements) Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| effectiveMateriality | Effective materiality | number; minimum: 0 |
| netMisstatement | Net misstatement | number |
| remainingMateriality | Remaining effective materiality | number |
| exceedsMateriality | Exceeds effective materiality | boolean |
{
"input": {
"materiality": 100000,
"misstatements": [
60000,
-20000,
15000
],
"safetyMarginPercent": 10
},
"output": {
"effectiveMateriality": 90000,
"netMisstatement": 55000,
"remainingMateriality": 35000,
"exceedsMateriality": false
}
}Limitations and assumptions
Netting can conceal large gross errors. No qualitative factors, permitted offsetting or audit opinion is determined.
Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Core numeric and string lists are limited to 100,000 entries; text entries are subject to the general large-text limit. Follow any smaller calculation limits above. Missing fields without a declared default, extra fields, wrong value types and violations of the calculation rules are input errors. A successfully returned false flag is an evaluated outcome; its meaning is explained above.
Alternative or Complementary methods
Use Sample Evaluation Upper Misstatement Limit Computation: A projected sample misstatement and sampling-risk allowance can be combined with other known errors for an upper-limit comparison. For a complementary task, use Misstatement Projection Qualitative Factors Lookup: A qualitative-factor scenario can adjust a quantitative projection with declared present weights. The formula is an explicit heuristic.
References
Similar or alternative tools
- Sample Evaluation Upper Misstatement Limit Computation
A projected sample misstatement and sampling-risk allowance can be combined with other known errors for an upper-limit comparison.
- Misstatement Projection Qualitative Factors Lookup
A qualitative-factor scenario can adjust a quantitative projection with declared present weights. The formula is an explicit heuristic.