performance-attribution

Decompose CRE fund returns into income, appreciation, leverage, and alpha components.

43|13|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/mariourquia/cre-skills-plugin --skill performance-attribution-mariourquia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-attribution
Source: https://github.com/mariourquia/cre-skills-plugin/tree/main/skills/performance-attribution
Command: npx skills add https://github.com/mariourquia/cre-skills-plugin --skill performance-attribution-mariourquia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Decomposes CRE fund returns into income, appreciation, leverage, and alpha components to separate market effects from manager skill.

Core Features & Use Cases

  • Vintage-year decomposition and alpha/beta attribution against NPI and ODCE benchmarks.
  • Same-store NOI analysis, leverage impact, and gross-to-net fee bridge for LP reporting.
  • Custom benchmark construction and risk metrics for portfolio-wide decision support.

Quick Start

Run a full attribution and benchmark analysis on your CRE fund data to produce vintage, alpha, NOI, and gross-to-net outputs.

Frequently Asked Questions about performance-attribution

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I decompose CRE fund returns into market effects and manager skill?

CRE fund return decomposition separates income, appreciation, leverage, and alpha components to isolate manager skill from market effects. It applies vintage-year decomposition and benchmark comparisons against NCREIF NPI and ODCE for structured LP reporting outputs.

What is same-store NOI analysis and how does it support commercial real estate benchmarking?

Same-store NOI analysis measures operational performance by isolating income growth from properties held consistently across periods. In commercial real estate benchmarking, it supports alpha attribution by comparing stabilized portfolio income against NCREIF NPI and ODCE indexes.

Can I run alpha and beta attribution for ODCE funds against custom benchmarks?

Yes, you can run alpha and beta attribution against NCREIF NPI and ODCE benchmarks, and construct custom benchmarks for portfolio-wide decision support. The process requires fund-level data, property-level metrics, and fee structures to output structured attribution tables.

What data do I need to generate a gross-to-net fee bridge for LP reporting?

Generating a gross-to-net fee bridge for LP reporting requires fund-level data, property-level metrics, and fee structures. This analyzes leverage impact and fee deductions to produce structured return summaries and risk metrics for investor updates.

How does vintage-year decomposition work for private real estate fund performance?

Vintage-year decomposition groups fund contributions, distributions, and returns by investment year to isolate market cycle effects from manager performance. It outputs structured attribution tables comparing these isolated vintages against NPI and ODCE benchmarks.

What's the best way to compare commercial real estate fund performance against the NPI index?

The best way to compare commercial real estate fund performance against the NPI index is applying same-store NOI analysis and alpha/beta attribution. This requires fund-level and property-level metrics to output risk metrics and structured return summaries for portfolio decision support.