AbbottModelDLOM develops a quarter-specific reference cohort of publicly traded companies to provide market-based evidence for the valuation of a closely held ownership interest.
The objective is not to identify a single perfectly comparable public company. Instead, the platform constructs a sufficiently populated group of companies that are reasonably aligned with the subject company’s market, size, and industry characteristics.
The selected cohort provides the common evidentiary basis for performance evaluation, liquidity and liquidation-period analysis, volatility measurement, DLOM modeling, and Mandelbaum analysis.
Quarter-Specific Formation
Reference cohorts are formed using information associated with the selected valuation quarter.
This is important because market capitalization, industry composition, trading activity, volatility, financial performance, and company classifications can change over time. A company that is a reasonable reference in one quarter may not provide the same evidence in another quarter.
The platform therefore does not rely on a permanent or manually maintained list of guideline companies. The cohort is reconstructed from the market evidence available for the selected quarter.
Market and Size Classification
Cohort formation begins within the selected public market and valuation quarter.
The subject company is assigned to a market-value size decile. That assigned decile is then locked for the remainder of the cohort-selection process.
Locking the size decile prevents the search for additional industry matches from gradually introducing companies from materially different size categories. Industry expansion may broaden the operating classification, but it does not change the subject company’s assigned size decile.
The resulting cohort therefore remains anchored to:
- The selected public market
- The selected valuation quarter
- The subject company’s locked size decile
GICS Industry Classification
The platform uses the Global Industry Classification Standard, or GICS, to organize companies by progressively broader levels of economic activity.
The relevant levels are:
- Industry
- Industry group
- Sector
The cohort search begins with the subject company’s most specific available industry classification. Broader classifications are considered only when the more specific level does not produce the required number of reference companies.
Additive Cohort Expansion
AbbottModelDLOM uses an additive closest-match expansion process.
Additive expansion means that companies identified at the most specific industry level are retained when the search broadens. The platform adds only the new companies available at the next classification level.
It does not discard the closest industry matches and replace them with an entirely new, broader cohort.
The process operates as follows:
- The platform begins with companies in the selected quarter, locked size decile, and requested GICS industry.
- If the industry cohort contains at least 10 companies, that cohort is accepted without further industry expansion.
- If fewer than 10 companies are available, the existing industry companies are retained and additional companies from the corresponding industry group are added.
- If the cumulative cohort still contains fewer than 10 companies, the existing companies are retained and additional companies from the corresponding sector are added.
- Expansion stops when the cumulative cohort reaches the minimum size or when the sector level has been exhausted.
This structure preserves the economically closest matches while adding broader companies only to the extent required to support a usable reference sample.
Why Additive Expansion Matters
A conventional fallback process may replace a narrow industry cohort with every company in a broader classification. That approach can remove the distinction between the closest matches and the companies introduced solely to increase sample size.
Additive expansion preserves that distinction.
For example, assume that the selected industry contains four companies, the related industry group contributes five additional companies, and the sector contributes three more. The resulting cohort contains:
- Four retained industry companies
- Five additional industry-group companies
- Three additional sector companies
The final cohort contains 12 companies. The four closest industry matches remain part of the analysis rather than being discarded when the search expands.
The cohort-formation audit identifies the companies introduced at each step and the classification level at which the minimum was reached.
Minimum Cohort Size
The production platform uses 10 companies as the operational minimum for an accepted reference cohort.
The minimum is intended to balance two competing objectives:
- Maintaining economic similarity to the subject company
- Obtaining enough observations to support meaningful cohort statistics
A larger sample is not automatically superior if it can be obtained only by adding economically remote companies. Similarly, a very narrow cohort may appear highly comparable but provide unstable quartiles or insufficient coverage for important measures.
The additive process addresses this tradeoff by starting with the closest available companies and broadening only when necessary.
Cohorts Below the Minimum
In some market, quarter, size-decile, and sector combinations, fewer than 10 eligible public companies may be available even after additive expansion has reached the sector level.
In that circumstance, the platform may return the best available cohort, but it identifies that the minimum has not been met and provides a statistical warning.
A below-minimum cohort is not presented as statistically robust merely because it is the best available group. The analyst must determine whether:
- The available companies remain economically relevant
- Individual-company observations exert excessive influence
- Cohort quartiles are sufficiently stable
- A broader or alternative market reference is supportable
- Additional assignment-specific evidence is required
- The resulting limitation should be disclosed in the valuation report
The warning preserves user discretion without concealing the reduced evidentiary strength of the cohort.
Market-Value Subgroup Refinement
Size deciles can still contain a meaningful range of company market values. When the accepted pre-subgroup cohort contains more than 25 companies, the platform may refine the cohort using the subject company’s market-value position within the decile.
The available refinement may use a market-value half or quartile classification, depending on the applicable cohort data.
Market-value refinement is applied only when the resulting subgroup continues to contain at least 10 companies. If refinement would reduce the cohort below the minimum, the broader accepted cohort is retained.
This guard prevents a valid, sufficiently populated cohort from being divided into an unstable subgroup merely to obtain a narrower market-value match.
The market-value refinement is subordinate to the principal formation rules:
- The valuation quarter remains unchanged
- The public market remains unchanged
- The assigned size decile remains locked
- The additive industry hierarchy remains the basis for selection
- The refined subgroup must satisfy the minimum cohort requirement
Cohort Integrity Across the Platform
Cohort classification occurs once for a given set of subject-company and valuation inputs.
After the reference cohort is selected, the same company set is used across:
- Selected-cohort display
- Performance evaluation
- Liquidity and block-liquidation analysis
- Volatility measurement
- DLOM and blockage analysis
- Mandelbaum analysis
The platform does not select one cohort for volatility, another for liquidity, and a third for financial performance.
Using the same identified companies across the analytical modules preserves internal consistency and allows the analyst to trace each displayed statistic to the same underlying market evidence.
If the subject-company inputs that determine classification are changed, the platform creates a new reference cohort appropriate to the revised inputs.
Cohort Formation Audit
The platform retains formation information that allows the analyst to understand how the cohort was constructed.
The audit may identify:
- Selected market and valuation quarter
- Requested industry, industry group, and sector
- Locked size decile
- Candidate count at each expansion level
- Companies added at each level
- Cumulative company count
- Accepted classification level
- Whether the minimum cohort size was met
- Whether market-value subgrouping was applied
- Final selected company count
- Final cohort constituents
- Any statistical warning associated with a below-minimum cohort
This information distinguishes the selected cohort from an unexplained or black-box peer group.
Interpretation of Cohort Statistics
The selected cohort provides market-based comparative evidence. It does not establish that every member is directly comparable to the subject company in all respects.
Cohort medians and quartiles may be influenced by differences in:
- Business mix
- Geographic exposure
- Capital structure
- Profitability
- Growth expectations
- Financial condition
- Public float
- Trading activity
- Reporting quality
- Investor following
The selected cohort should therefore be interpreted as a structured market reference rather than a claim of exact company equivalence.
Professional Judgment
Reference cohort formation improves consistency, transparency, and reproducibility, but it does not replace professional judgment.
The analyst remains responsible for evaluating whether the selected market, size classification, industry hierarchy, final cohort constituents, and resulting statistical evidence are relevant to the subject interest.
Any decision to rely on a below-minimum cohort, reject particular evidence, or adopt an alternative interpretation should be supported by the facts of the assignment and documented in the valuation analysis.