Review the Content of the Report to Assess the Accuracy, Consistency, and Sources of Data and Calculations Included in the Report

Learn how Series 162 tests source attribution, source credibility, calculation integrity, financial statement reconciliation, accounting treatments, comparability adjustments, and market-data verification in research reports.

This first Series 162 function tests whether the supervisory analyst can verify the factual and numerical foundation of a research report before confronting the larger question of whether the conclusion is reasonable. The exam is not asking you to build a full valuation model from scratch. It is asking whether you can tell when sources are weak, calculations do not reconcile, statement construction is off, or market data and accounting treatment have been used inconsistently.

The strongest answers usually start by asking where the data came from, whether the numbers reconcile across the report, and whether the calculation or presentation is still internally consistent after adjustments.

Topic snapshot

ItemWhat matters here
Weight32%
Main skillidentify the data, source, or calculation defect that weakens the report before it is approved
Typical trapaccepting a plausible number or table because the conclusion feels reasonable
Strongest first instinctask where the data came from, whether it is current and credible, and whether the calculations stay consistent across the report

Section map

SectionMain exam angle
Data source attribution, permissions, and estimate labelingsource clarity
Third-party information, management guidance, and source credibilitysource quality
Calculation integrity, ratio mechanics, and cross-section consistencyarithmetic discipline
Financial statement reconciliation and per-share consistencystatement linkage
Accounting statement construction, footnotes, and MD&A contextaccounting context
Comparability adjustments, sustainable cash flow, and structural adjustmentsadjustment quality
Accounting practices, special items, and reporting treatmentstreatment accuracy
Market data verification and reference data currencymarket-data control

What this topic is really testing

Series 162 is testing whether you can keep a report from resting on weak factual foundations. Strong answers look for attribution, consistency, reconcilability, and current support. Weak answers let the analytical narrative carry more weight than the underlying evidence deserves.

Section-by-section lesson

Data source attribution, permissions, and estimate labeling

The report should make clear what is fact, what is sourced externally, and what is analyst estimate. The supervisory analyst should know when unlabeled estimates or unclear sourcing turn a polished section into a weak one.

Third-party information, management guidance, and source credibility

Not all sources deserve equal confidence. The exam wants you to distinguish usable source support from source material that is stale, unverified, or contextually weak.

Calculation integrity, ratio mechanics, and cross-section consistency

This section tests internal math discipline. A ratio or valuation output that works in one table but contradicts the rest of the report should be treated as a real supervisory defect.

Financial statement reconciliation and per-share consistency

These questions ask whether the numbers flow correctly from the statements into the report’s summaries, metrics, and per-share conclusions. A mismatch often exposes a deeper quality problem.

Accounting statement construction, footnotes, and MD&A context

The exam expects you to read accounting context, not just the headline numbers. Footnotes and MD&A details often explain why a simple comparison is not reliable without adjustment.

Comparability adjustments, sustainable cash flow, and structural adjustments

Adjustments can improve analysis or distort it. The supervisory analyst should test whether the adjustment is principled, consistently applied, and clearly described.

Accounting practices, special items, and reporting treatments

This section tests whether the report is treating special items and accounting choices in a defensible way. The key is not whether the analyst preferred one treatment, but whether the report explains and applies it consistently.

Market data verification and reference data currency

Market data problems are often presentation problems disguised as small updates. If reference data is stale, mismatched, or selectively current, the report can become misleading quickly.

Data-and-calculations table

If the vignette shows…Stronger implication
estimate or assumption not labeled clearlysource-attribution issue
management or third-party input used without contextsource-credibility issue
ratio or output inconsistent across sectionscalculation-integrity problem
per-share or statement numbers not reconcilingfinancial-statement linkage issue
adjustments that help the story but are poorly justifiedcomparability-adjustment issue
stale market price or reference datamarket-data verification issue

What stronger answers usually do

  • ask where each important number came from
  • test whether the report reconciles internally
  • use footnotes and statement context before accepting a surface comparison
  • challenge unsupported adjustments and stale market data

Sample Exam Question

A research report uses management guidance in one table, a third-party industry source in another, and unlabeled analyst estimates in a valuation summary, but the sections do not reconcile cleanly and the price-target bridge depends on the mixed inputs without explanation. What is the strongest supervisory conclusion?

  • A. The report is acceptable if the final target price looks reasonable
  • B. The report may be weak because source attribution, estimate labeling, and internal consistency are not clear enough to support approval
  • C. The report is acceptable because analysts may combine sources freely
  • D. The issue matters only if a formula error is found

Answer: B

Series 162 rewards source and reconciliation discipline. Mixed inputs are not the problem by themselves; weak labeling and weak consistency are.

Common traps

  • trusting a plausible output without checking source quality
  • ignoring inconsistencies across tables and narrative sections
  • missing the significance of footnotes and MD&A context
  • assuming any adjustment is acceptable if it improves comparability on paper

Key takeaways

  • This function tests whether the report is factually and numerically sound.
  • Strong answers focus on attribution, reconciliation, consistency, and current support.
  • The supervisory analyst should challenge weak evidence before it supports a stronger conclusion.
Revised on Thursday, April 23, 2026