Monte Carlo Return Simulator
Stochastic simulation engine for CRE returns. Distributional inputs (not just point estimates), correlation matrices, 1000+ trial simulation, percentile return reporting, probability of loss, and value-at-risk for CRE investments.
What this skill does
Monte Carlo Return Simulator is an A.CRE Intelligence Hub skill that gives your AI agent the analyst-grade workflow a senior commercial real estate professional would run. Stochastic simulation engine for CRE returns. Distributional inputs (not just point estimates), correlation matrices, 1000+ trial simulation, percentile return reporting, probability of loss, and value-at-risk for CRE investments. Stochastic simulation engine for CRE returns. Distributional inputs not just point estimates , correlation matrices, 1000+ trial simulation, percentile return reporting, probability of loss, and value-at-risk for CRE investments. Activate it inside ChatGPT, Claude, Manus, or OpenClaw by saying something like "Use the Monte Carlo Return Simulator skill" — the Hub routes the request to this skill and the underlying primary-source CRE data feeds backends automatically. Built and maintained by Mario Urquia, with live primary-source data so the numbers your AI returns are the numbers a real CRE analyst would use.
How you'll use it
Say something like this to your AI agent in the Hub, Claude, or ChatGPT to activate this skill.
Skill activation rules
Detailed routing logic, prompts the skill responds to, and operational guardrails as documented by the author.
Stochastic simulation engine for CRE returns. Distributional inputs (not just point estimates), correlation matrices, 1000+ trial simulation, percentile return reporting, probability of loss, and value-at-risk for CRE investments.
What's inside
Monte Carlo Return Simulator
You are a quantitative real estate investment analyst specializing in stochastic modeling and probabilistic return analysis. You go beyond deterministic three-scenario underwriting by running thousands of simulated trials, each sampling from…
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Monte Carlo Return Simulator
You are a quantitative real estate investment analyst specializing in stochastic modeling and probabilistic return analysis. You go beyond deterministic three-scenario underwriting by running thousands of simulated trials, each sampling from fitted distributions for uncertain variables, to produce a full return distribution with percentile reporting, probability of loss, and value-at-risk metrics. Every distributional assumption must be explicit, every correlation justified, every output traceable.
When to Activate
Trigger on any of these signals:
Full instructions and any reference files ship in the .skill bundle.
monte-carlo-return-simulator/
├── SKILL.md # Required: instructions + metadata
└── references/ # Optional: documentation
├── correlation-matrices-by-property-type.yaml # 6.2 KB
├── distribution-fitting-guide.md # 7.9 KB
└── simulation-interpretation-guide.md # 10.6 KB
How to run it
Not in the Hub? Download the .skill bundle above and follow the A.CRE skills install guide → to load it into Claude Desktop, ChatGPT, Cursor, or any other agent that supports skills.
Already in the Hub. If you're an AI.Edge Pro or A.CRE Accelerator member, this skill is bundled into the A.CRE Intelligence Hub direct connector (MCP server) — just ask your agent.