Authenticated Modeling Portal

Portfolio construction beyond traditional markets.

Select a public-market profile, pair it with an alternative investment option, and review return, risk, income, liquidity, and scenario outputs.

Profile: Core Market
Alternative: --
Allocation: 20%

User Modeling Portal

Public-market profile Alternative investment Alternative allocation 20%

Alternative sleeve 100%

This controls the composition of the alternative allocation, not the full client portfolio.

Default sleeve template

Sleeve allocation is balanced. Portfolio allocations update from the total alternatives allocation.

Industrial Real Estate 6% Real Estate 3% Ground Leases 3% Private Credit 3% Infrastructure 3% Private Equity 2%

Initial portfolio value

Assumptions reflect historical calibration proxies where no admin override is applied.

Classic public portfolio

Equity Income

Alternatives-integrated portfolio

Equity Income Alternatives

Alternative Sleeve Impact

Multi-Asset Sleeve

Run the model to view holding-level contribution and aggregate sleeve impact.

Sleeve Return--

Sleeve Income--

Portfolio Contribution--

Sleeve Liquidity--

Holding	Sleeve %	Portfolio %	Expected Return	Income Yield	Volatility	Sleeve Contribution	Portfolio Contribution
Run the model to view sleeve holdings.

Monte Carlo sleeve breakdown will appear when probability analysis is available.

Scenario Analysis

Case	Annual return	5-year value	10-year value	Income estimate	Volatility	Liquidity	Risk

Deterministic Portfolio Comparison

Long-Term Assumptions

Comparison using long-term expected assumptions for strategic planning.

Metric	Core Portfolio / Baseline	With Alternatives / Integrated	Impact / Δ
Expected Income	--	--	--
Expected Return	--	--	--
5-Year Value	--	--	--
10-Year Value	--	--	--
Risk Score	--	--	--
Volatility	--	--	--
Liquidity Score	--	--	--

Composite Outlook Portfolio Comparison

Scenario-Weighted

Comparison using current scenario-weighted economic assumptions for tactical outlook.

Metric	Core Portfolio / Baseline	With Alternatives / Integrated	Impact / Δ
Expected Income	--	--	--
Expected Return	--	--	--
5-Year Value	--	--	--
10-Year Value	--	--	--
Risk Score	--	--	--
Volatility	--	--	--
Liquidity Score	--	--	--
Portfolio Impact / Δ	--	--	--

Across possible market paths

Probability Analysis

Scenario-aware simulation results will appear when the approved Monte Carlo feed is available.

Scenario-Aware Simulation

Median 10-Year Outcome --

Likely 10-Year Range --

Relative Portfolio Comparison

Relative comparison between the integrated portfolio and the Core Market baseline.

Probability of Improvement --

Probability Baseline Wins --

Absolute Downside Risk

Absolute downside characteristics of the integrated portfolio across simulated market paths.

Probability of Negative 10-Year Return --

5th Percentile Annualized Return --

Monte Carlo Outcome Distribution

Distribution of simulated 10-year outcomes will appear when Monte Carlo is available.

Advisor interpretation

Run the model to view modeled outperformance evidence.
Baseline outperformance evidence will appear here.
Negative 10-year annualized return probability will appear here.
The likely 10-year range will appear here.
Results are estimates, not guarantees.

Interpretation: Deterministic Analysis presents the expected-case projection, Composite Outlook evaluates a probability-weighted macroeconomic environment, and Probability Analysis estimates the range of outcomes across thousands of possible market paths; these perspectives complement one another and should be interpreted together.

Monte Carlo is a probability and range analysis. Results are estimates based on current assumptions and simulated scenarios, not guarantees. The baseline portfolio may outperform in some simulations.

Private-market simulations use fat-tail return distributions to better reflect downside and upside tail risk.

Private-market simulations vary exit timing by asset class, reflecting that exits may occur earlier or later than the model horizon.

Calibration proxies apply where no admin override exists.

Advanced Details

Standard deviation: Pending simulation feed
Downside deviation: Pending simulation feed
Percentiles: Collapsed until Monte Carlo feed is available
Likely intervals: Collapsed until Monte Carlo feed is available
Methodology: Scenario-aware simulations compare baseline and integrated portfolios across matched market paths. Results are estimates, not guarantees.

Advisor Conversation Center

How do I explain this to my client?

Use these talking points to explain the advisor-selected allocation in plain language.

Executive Takeaway

Run the model to generate a concise advisor summary.

Advisor-selected allocation

See details

Opportunity

Expected improvement will appear after the model runs.

Modeled impact pending

See details

Risks & Tradeoffs

Liquidity, concentration, and uncertainty notes will appear here.

Tradeoffs pending

See details

Client Conclusion

Use a balanced closing statement after reviewing the model output.

Client fit pending

See details

Conversation Guide

Connecting the analysis to the client conversation

Use this guide to explain what changed, where the modeled value comes from, how the allocation behaves in different environments, and what the client should understand.

Why are we considering this allocation?

Run the model to generate the advisor-selected allocation rationale.

Broader sources of return

Run the model to explain how the selected alternative asset class adds another return driver alongside the public-market portfolio.
Takeaway: Adds private-market exposure.
Income potential

Run the model to see how the advisor-selected allocation changes modeled annual income under current assumptions.
Takeaway: Modeled income impact pending.
Diversification

The allocation broadens the portfolio beyond a public-only mix. Discuss diversification as a modeled risk-management effect, not as a guarantee of lower losses.
Takeaway: Broader sources of return.
Liquidity tradeoff

Private-market exposure may reduce liquidity and require a longer investment horizon. Connect this tradeoff directly to the client's cash-flow needs.
Takeaway: Longer horizon required.

The allocation is being evaluated as a long-term diversification and income decision, not as a short-term market trade.

Where does the additional value come from?

Breakdown of modeled value impact based on currently available portfolio assumptions.

Expected Additional 10-Year Value: Run model

Green = positive value contribution Amber = offset / reallocation effect

Component-level dollar attribution will be summarized when available in the live response.

Supporting explanations

Annual income impact Run model

Shows the annual income change from adding the selected alternative sleeve.

Alternative return contribution Run model

Summarizes available return attribution without inventing dollar-level component attribution.

Alternative appreciation mix Run model

Shows the appreciation component of the alternative return mix when provided by the model.

Modeled volatility impact Run model

Helps explain how modeled volatility changes with the advisor-selected allocation.

Liquidity score impact Run model

Frames liquidity as a tradeoff to review alongside potential return and income benefits.

Run the model to view the modeled value drivers.

Why do we evaluate multiple market environments?

Composite Outlook helps test whether the allocation remains reasonable beyond a single expected-case forecast.

The Deterministic Analysis provides a useful expected-case view, but real markets rarely follow one path. Growth, inflation, interest rates, and stress conditions can all shift the outcome.

Deterministic Analysis One expected-case path

Uses long-term expected assumptions to frame the strategic base case.

Composite Outlook Multiple weighted environments

Combines growth, base, and stress outcomes using current scenario weights.

Advisor Interpretation More resilient decision-support lens

Helps explain whether the allocation remains supportable if markets do not follow one expected path.

Advisor interpretation

Explain it this way to a client: the deterministic model shows the expected long-term case. Composite Outlook goes one step further by asking what happens if the economy does not follow that expected path. By weighing multiple environments, it helps us discuss whether the allocation remains reasonable across a broader set of possible outcomes.

Compact scenario evidence

This evidence is intentionally compact because the full Composite Outlook section already appears above.

Growth / Expansion --

Probability unavailable

Base / Normal --

Probability unavailable

Stress / Downside --

Probability unavailable

Composite / Scenario-Weighted --

Composite value unavailable

Composite Outlook helps explain how the allocation may behave if the economy differs from the base case.

How confident are we in the proposed recommendation?

This recommendation is supported by multiple independent analytical methods rather than a single expected-case projection.

Recommendation Support Pending

Evidence pending

Overall Recommendation

Evidence Summary

Run the model to summarize recommendation support.

Recommendation confidence will summarize the evidence accumulated across the modeling workflow.

What should the client understand?

Translate the analysis into a balanced client conversation.

Potential Benefits

Additional income potential
Broader diversification
Improved modeled long-term outcome
Private asset exposure

Key Tradeoffs

Reduced liquidity
Longer investment horizon
Valuation uncertainty
Baseline may outperform in some environments

Appropriate For

Long-term investors
Clients without near-term liquidity needs
Clients seeking diversified return sources
Clients comfortable with private-market risks

The advisor should present this as a long-term allocation decision with potential benefits and tradeoffs, not as a guaranteed improvement.

This conversation guide supports advisor discussion and does not constitute an investment recommendation by Alts Custodian.

Results are estimates based on current assumptions. Private markets may involve illiquidity, valuation uncertainty, and limited access to capital. Probability analysis will appear when the approved Monte Carlo feed is connected.

Analysis is based on deterministic modeling, Composite Outlook, and approved probability analysis when available. Results are estimates, not guarantees.

Portfolio construction beyond traditional markets.

Classic public portfolio

Alternatives-integrated portfolio

Alternative Sleeve Impact

Scenario Analysis

Composite Outlook

Deterministic Portfolio Comparison

Composite Outlook Portfolio Comparison

Probability Analysis

Relative Portfolio Comparison

Absolute Downside Risk

Advisor interpretation

How do I explain this to my client?

Executive Takeaway

Opportunity

Risks & Tradeoffs

Client Conclusion

Connecting the analysis to the client conversation

Why are we considering this allocation?

Broader sources of return

Income potential

Diversification

Liquidity tradeoff

Where does the additional value come from?

Supporting explanations

Why do we evaluate multiple market environments?

Advisor interpretation

Compact scenario evidence

How confident are we in the proposed recommendation?

What should the client understand?

Potential Benefits

Key Tradeoffs

Appropriate For

Advisor Proposal Summary

Let’s build the future of your portfolio—together.

Model Parameter Console