Audit Testing Protocols for Finished Goods Landed Cost Allocations under IAS 2
IAS 2 requires capitalizing directly attributable import freight and duties while expensing demurrage, demanding substantive audit matching of port documentation.
Monetary Unit Sampling
Meaning
A quantitative audit procedure designates individual dollars within a financial balance as the basis for testing, ensuring that accounts with larger values face a higher probability of selection. Monetary unit sampling assigns every single currency unit an equal opportunity for extraction from the population, effectively turning the total recorded value into a set of discrete chances for verification. Errors identified during the examination of these specific items provide a basis for projecting total misstatement across an entire ledger.
The approach functions exclusively within environments where the primary risk involves overstatement, since the likelihood of selecting a transaction increases linearly with its recorded amount.
Population Selection
Auditors apply the technique to isolate high-value transactions while maintaining a statistically defensible path for identifying smaller errors hidden in aggregate data. The methodology selects items based on a random starting point and a fixed interval calculated by dividing the total population value by the sample size. Records containing the selected monetary units undergo thorough verification to confirm accuracy against underlying documentation.
If a document includes multiple currency units that fall into the interval, the auditor tests that item once to prevent double counting. This process ensures that every account balance receives scrutiny proportional to its impact on the total financial position.
Risk Estimation
Quantitative assessment follows when the testing yields discrepancies between recorded figures and confirmed facts. Each error identified during the sample verification represents a portion of the total potential misstatement, which the auditor calculates using a taint ratio applied against the sampling interval. When the evaluation detects no errors, the procedure confirms that the account balance remains below a predefined threshold of material misstatement with a specific level of confidence.
If the projection exceeds the tolerable error limit, the auditor concludes that the ledger requires adjustment or further investigation into the source of the variance.
Precision Mechanism
Reliability relies on the link between individual currency units and the underlying physical transactions that carry those values. Since the method treats the total balance as a sequence of integers, it forces the examiner to address every part of the ledger in relation to the whole. Capability scales with the size of the population, allowing large data sets to remain manageable while retaining mathematical rigor for detecting significant inaccuracies.
Demonstrating a low error rate through this method confirms the integrity of the financial records. High precision requires an adequate sample size to reach a definitive conclusion regarding the total population state. The statistical structure of this technique provides a robust defense for the accuracy of account balances.