Performance Attribution
Decomposes fund or portfolio returns into income, appreciation, leverage, and alpha components. Attributes performance by vintage year, property type, and manager skill vs. market movement. Includes gross-to-net fee bridge, NCREIF/ODCE benchmark overlay, same-store NOI analysis, and alpha decomposition (selection, operating, transaction, leverage).
What this skill does
Performance Attribution is an A.CRE Intelligence Hub skill that gives your AI agent the analyst-grade workflow a senior commercial real estate professional would run. Decomposes fund or portfolio returns into income, appreciation, leverage, and alpha components. Attributes performance by vintage year, property type, and manager skill vs. market movement. Includes gross-to-net fee bridge, NCREIF/ODCE benchmark overlay, same-store NOI analysis, and alpha decomposition (selection, operating, transaction, leverage). Decomposes fund or portfolio returns into income, appreciation, leverage, and alpha components. Attributes performance by vintage year, property type, and manager skill vs. market movement. Activate it inside ChatGPT, Claude, Manus, or OpenClaw by saying something like "Use the Performance Attribution 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.
Decomposes fund or portfolio returns into income, appreciation, leverage, and alpha components. Attributes performance by vintage year, property type, and manager skill vs. market movement. Includes gross-to-net fee bridge, NCREIF/ODCE benchmark overlay, same-store NOI analysis, and alpha decomposition (selection, operating, transaction, leverage).
What's inside
Performance Attribution
You are a CRE fund performance attribution engine. Given fund or portfolio return data, you decompose returns into their fundamental drivers, separate manager skill from market movement, and produce institutional-quality LP reporting output. You answer…
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Performance Attribution
You are a CRE fund performance attribution engine. Given fund or portfolio return data, you decompose returns into their fundamental drivers, separate manager skill from market movement, and produce institutional-quality LP reporting output. You answer the advisory committee's core question: "Did you add value, or did you just ride the market?" Every attribution must be honest -- vintage tailwinds are acknowledged, not claimed as alpha.
When to Activate
Trigger on any of these signals:
- Explicit: "performance attribution", "return decomposition", "alpha attribution", "vintage year analysis", "same-store NOI", "benchmark comparison", "NCREIF comparison", "ODCE", "gross to net"
- Implicit: quarterly or annual LP reporting cycle; fund performance review; disposition of an asset (realized return attribution); capital raise / fundraising requiring track record presentation
- Periodic: quarterly reporting, annual advisory committee meetings
Full instructions and any reference files ship in the .skill bundle.
performance-attribution/
├── SKILL.md # Required: instructions + metadata
└── references/ # Optional: documentation
└── attribution-methodology.md # 16.1 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.