Tool & guide

Kay Properties and Investments Reviews: Allocation Discussion Exposure Analyzer

By Sequoia ResearchPublished Read as Markdown

Allocation Discussion Exposure Analyzer

Users enter allocation amounts and source-based sponsor, tenant, sector, and geographic weights. Separate maps show shared labels, unmapped shares, and conditional upper shares; the tool does not authenticate sources or assess suitability.

For an export, select Download in the tool, then Save file when it appears below. Your entries stay in your browser.

What Is This Article About?

This tool helps readers of Kay Properties and Investments reviews examine overlap in a proposed Delaware statutory trust (DST) allocation. You enter investment amounts and separate sponsor, tenant, sector, and geographic weights from the records you have checked. The analyzer shows shared labels, weighted amounts, and exposure that remains unmapped. It does not obtain a recommendation from Kay Properties, verify your sources, or decide whether an allocation suits you.

Table of Contents

What a DST Exposure Map Can Tell You

Three offering names do not necessarily mean three unrelated risks. Investments may share a sponsor, a tenant, a property sector, or a region. This tool makes those repeated labels visible within the allocation you enter. It does not measure how much money you could lose if one of those shared factors changes.

FINRA, the Financial Industry Regulatory Authority, explains that concentration can arise through related holdings, sectors, regions, and illiquid investments. Counting investment names alone may miss that overlap. This is general context for the review, not a rule setting a safe percentage for a DST allocation. FINRA on concentration risk.

The analyzer creates four separate maps. Each uses the same total entered dollars as its denominator. The maps answer different questions about those dollars, so you should not add their percentages together. A sponsor share and a tenant share can describe overlapping parts of the same allocation.

No private portfolio or current offering inventory is connected. All names, values, dates, and source notes come from the user. The fictional example is a teaching case and does not describe a Kay Properties recommendation or an actual client's holdings.

Choose a Common Allocation Basis

Start by stating what the dollars mean. You might be examining proposed cash commitments across a shortlist. Use that same basis for every entry. Mixing one offering's purchase amount with another's estimated current value would produce a total that is hard to interpret.

Write the included scope in the review field. If the list covers only a proposed $500,000 DST allocation, say so. Do not call its percentages shares of your entire wealth unless the entered scope actually supports that statement. Cash, securities, other property, and debts outside the list are not added automatically.

The tool accepts positive dollar amounts with up to two decimal places. Each offering can be no more than $1 billion, and a review can contain up to 25 offerings. These are software limits, not suggested investment amounts. Enter plain numbers without dollar signs or commas.

The Securities and Exchange Commission (SEC) describes asset allocation as a personal choice tied to time horizon and risk tolerance. This calculator does not collect the full facts needed for that choice. It maps the supplied allocation rather than selecting one for you. SEC asset-allocation guidance.

Before entering weights, confirm that the amount total matches the allocation you intend to discuss. A missing offering or duplicated amount changes every percentage in the result.

Identify Each Offering Once

Use an identity that distinguishes the issuer and the interest you are reviewing. Include a class or other relevant detail when needed. A marketing nickname may be insufficient if several offerings use similar names. Avoid private account numbers in a file that you may later share.

The tool rejects repeated offering identities after ignoring case and collapsing extra spaces. For example, Cedar DST and cedar dst are treated as the same identity. This catches a simple duplicate. It does not discover that two different names refer to the same legal interest.

If the same interest appears through two research routes, do not enter the full proposed amount twice. Combine the amount for that interest and explain the routes in the source note. If you actually mean two distinct interests, identify each clearly and preserve the records that establish the distinction.

Each saved offering receives a fixed record ID, such as H1. Editing replaces that record. Removing H2 does not rename H3. The IDs let you trace a shared exposure back to the offering entries that produced it.

Different classes may still share underlying risks. Distinct offering identities prevent an unwanted duplicate entry; they do not establish independence. Use consistent dimension labels to show the shared sponsor, tenant, sector, or geographic exposure that your sources support.

Enter Sponsor, Tenant, Sector, and Geographic Shares

Each dimension has its own text box. Enter one label and percentage per line, separated by a vertical bar. For example, Tenant X | 60 assigns 60% of that offering's entered amount to the Tenant X label in the tenant map. The remaining 40% stays unmapped unless you enter other supported labels.

A dimension accepts up to ten labels per offering. Percentages must be positive, use at most two decimal places, and total no more than 100%. A fully mapped dimension totals 100%. A blank box leaves that entire dimension unmapped for the offering. Do not enter an invented balancing label to make the total look complete.

Record the weighting basis. A tenant percentage might be a supplied share of rent. A sector or state percentage might be based on property values. A sponsor assignment may represent responsibility for the offering. Those are different measures. The tool multiplies them by the entered allocation amount as a discussion proxy; it does not convert them into actual rent, asset value, or legal responsibility.

Use mutually exclusive labels within each dimension. Do not assign the same exposure once to Texas and again to the Southwest in the same geographic map. Choose one geographic level and explain it. Likewise, avoid mixing a tenant subsidiary and its parent as separate shares of the same leased space.

The software cannot judge whether your weighting method is sensible. If you cannot support a percentage, leave that portion unmapped and explain the gap.

Keep Missing Exposure in the Denominator

Missing information should remain visible. Suppose a $150,000 offering has only 80% of its tenant weights entered. The analyzer maps $120,000 and leaves $30,000 unmapped in that dimension. It does not spread the missing 20% across the labels you supplied.

This matters when comparing a known share with a total. If a review contains $500,000 and Tenant X has $180,000 of weighted allocation, its known share is 36%. The denominator remains $500,000 even when other tenant weights are missing. Dividing only by the mapped amount would answer a different question and could make the known share look larger.

Unmapped is not a separate tenant or a safe category. It means the supplied data does not assign those dollars within that dimension. The missing portion could belong to an existing label, a new label, or several labels. The tool does not choose among those possibilities.

A fully mapped sector view can sit beside a partly mapped tenant view. That is expected. Knowing where a property is located does not mean you know all its tenant shares. Review completeness separately for each dimension rather than using one overall completion score.

Ask for the missing record that would resolve the gap. A source note should state what remains unknown, not merely say that more research is needed.

Follow the Fictional Allocation Example

The built-in example contains three invented offerings. Cedar has a proposed $200,000 allocation, Harbor has $150,000, and Mesa has $150,000. Together they total $500,000. All amounts and weights are invented, and the source dates do not represent actual offering documents.

Cedar and Harbor both use Orchard as their sponsor label at 100%. Mesa uses Meadow at 100%. The sponsor map therefore assigns $350,000, or 70%, to Orchard and $150,000, or 30%, to Meadow. Orchard appears in two offering records. That overlap is a fact about the entries, not a judgment about either fictional sponsor.

The tenant weights produce a different view:

Fictional offering Tenant weights entered Unmapped tenant portion
Cedar: $200,000 X 60%; Y 40% $0
Harbor: $150,000 X 40%; Z 40% $30,000
Mesa: $150,000 None $150,000

Tenant X receives $120,000 from Cedar and $60,000 from Harbor, totaling $180,000. Tenant Y receives $80,000. Tenant Z receives $60,000. Those known amounts total $320,000, or 64% of the allocation. The remaining $180,000, or 36%, is unmapped.

For sector, Cedar is 100% Industrial, Harbor is 50% Industrial and 50% Medical, and Mesa is 100% Medical. Industrial totals $275,000, or 55%; Medical totals $225,000, or 45%. The geographic example uses the same weights for Texas and Arizona, producing the same percentages. Matching totals do not establish that the sector and geographic exposures intersect in any particular way.

Understand the Conditional Upper Share

For each existing label, the analyzer also shows a conditional upper share. It adds all unmapped exposure in that dimension to that one label. This asks how large the label's share could look under that single assumption. It is not a forecast or a verified range.

In the tenant example, X has a known 36% and the unmapped share is 36%. Assigning all unmapped exposure to X produces 72%. Y's separate conditional case is 16% plus 36%, or 52%. Z's separate case is 12% plus 36%, or 48%.

Do not add those upper shares. Each uses the same missing exposure in a different hypothetical case. They cannot all occur together. The unknown portion could also belong entirely to a new tenant label that is absent from the known-label table. The unmapped total keeps that possibility visible.

These calculations assume that the entered known weights and allocation amounts are correct. They do not account for errors in those inputs. If a source is unreliable, the conditional calculation does not repair it. Record the concern and obtain better information.

The tool also cannot derive a joint intersection from four separate maps. A 70% sponsor share and a 55% state share do not tell you exactly how much exposure has both labels. That requires more detailed linked data than this tool collects.

Use the Map in a Provider Discussion

Bring the map with the underlying source references and a short list of questions. Start with the largest shared labels and the largest unmapped portions. Ask whether the labels are correct, whether the weighting basis is consistent, and what information would change the result.

A useful question is: these two offering records appear to share the same sponsor; have I matched the legal entities and their roles correctly? Another is: this tenant map leaves 36% unmapped; which document could identify that portion? Both questions can lead to evidence. Asking whether the chart looks diversified may invite a broad answer that leaves the data gaps untouched.

Do not turn a lower percentage into an automatic preference. The tool does not compare property quality, debt, fees, lease terms, liquidity, or your financial needs. It does not suggest selling an interest or moving money to another offering.

The SEC's private-placement bulletin warns that these investments can have limited disclosure, be difficult to sell, and involve total loss. A chart with many labels does not remove those risks. SEC private-placement bulletin, updated September 21, 2026.

Keep any proposed change as a separate scenario. Export the original review before replacing amounts or weights so that the discussion can explain what changed and why.

Check Dates, Sources, and Label Consistency

Enter a review cutoff and a source as-of date for each offering. The source date cannot follow the cutoff, and the cutoff cannot follow the current date in UTC. These checks catch impossible ordering within the chosen review. They do not prove that a source is current enough for your decision.

If several documents support one offering, explain their dates and limits in the source note. Choose an as-of date that accurately describes the combined record and make any older components clear. Do not give an old tenant schedule a new date merely because you downloaded it today.

Labels merge across offerings only when they match after case and whitespace cleanup. Orchard and ORCHARD merge. Orchard Holdings and Orchard do not. Resolve aliases and affiliates in your research, then use a consistent label if the chosen scope calls for combining them. The software does not search corporate records.

Within a dimension, duplicate normalized labels are rejected. Correct the entry instead of splitting one label across several lines. Keep a source note that explains any grouping decision, especially when several legal entities share a parent or brand.

All references remain plain text. The tool does not open documents or send entries to a source provider. Use enough detail to find the evidence later without placing sensitive account information in the review.

Save the Full Analysis and Update It Carefully

Save or clear the unfinished offering form before analyzing. An edit clears the previous results and disables downloads until you analyze again. Rejected entries stay visible for repair, while previously saved offerings remain unchanged. Removing a record, replacing the review with the example, and starting over require on-page confirmation.

The dimension filter changes only the visible tables. Both JSON and text exports retain all four dimensions, every saved offering, source notes, weights, unmapped amounts, and the stated limits. The saved input is limited to 100,000 UTF-8 bytes; each export is limited to one MiB. Some characters use more than one byte.

The calculations keep exact weighted units internally: entered cents multiplied by percentage basis points. One basis point is 0.01 percentage point. Displayed dollars and percentages round to two decimal places, with positive half ties rounded up. Rounded pieces may not add exactly to the displayed total. The export retains the exact weighted units so the calculation can be traced.

There is no automatic saving, import, or revision history. Download a copy before leaving the page. For a later review, keep the earlier export separately, update the cutoff and relevant sources, and describe the changes. The tool cannot establish what changed in an actual investment unless you supply that information.

Frequently Asked Questions

Does This Tool Review a Kay Properties Recommendation?

No. It analyzes only the allocation and labels you enter. No account, recommendation, private report, or current offering list is accessed. The example is wholly fictional. Use the results to prepare questions, not to attribute an investment decision or service result to a named firm.

Should Each Dimension Total 100%?

Only when your evidence supports a complete map. A total below 100% leaves a visible unmapped remainder. A blank dimension is wholly unmapped for that offering. Totals above 100% are rejected because they would assign more than the offering's entered amount within one dimension.

Are Weighted Tenant Dollars Actual Rent?

No. The tool multiplies allocation dollars by your entered tenant percentage. If that percentage came from a rent schedule, the output is still an allocation-weighted proxy. It does not calculate actual rent, ownership value, or the amount you would lose after a tenant default. Explain the source basis beside the weights.

Can I Add Sponsor and Geographic Percentages?

No. They describe separate views of the same entered dollars. Their intersections are not calculated. Adding them would count overlapping exposure without knowing how the labels relate. Review each map separately and obtain linked data if you need to examine a specific joint exposure.

Does an Unmapped Share Mean the Investment Is Unsafe?

It identifies a data gap, not a risk rating. The missing information may matter to your decision, but the software does not know what it contains. Ask for the relevant source and keep the gap visible. A fully mapped allocation is also not a guarantee of safety or suitability.

Will Filtering the Display Change My Export?

No. Selecting Tenant or another dimension changes the visible tables only. Full exports still contain all four maps and the complete saved input. Unsaved edits must be saved or cleared before analysis. Exported records therefore describe the saved review, not a partly completed form.

About Sequoia Research

Sequoia Research develops educational resources to help readers examine investment information and ask better questions. This tool organizes user-entered exposure data and preserves uncertainty. It does not provide a personalized investment, tax, or legal recommendation.

Sources