SkillsLib.ai

Portfolio Performance Attribution Analyzer

Decompose portfolio returns into alpha, beta, and factor drivers for institutional evaluation

4.0(25 reviews)
100+ downloads
Updated Nov 2026
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What You Can Do

You can systematically decompose portfolio returns to isolate alpha (manager skill) from beta (passive market exposure) and identify which specific positions, sectors, or factor exposures drove performance. The skill enables rigorous performance attribution across multiple timeframes, generates risk-adjusted performance metrics (Information Ratio, Sharpe ratio, CAPM alpha), and produces institutional-grade client reporting with statistical rigor to support manager evaluation and capital allocation decisions.

Features

Alpha/Beta Decomposition

Separate skill-based returns from factor-driven returns using CAPM and multi-factor models

Factor Performance Attribution

Quantify contribution of market factors (value, momentum, quality, size) to portfolio outperformance

Holding-Level Performance Drivers

Identify which securities, positions, or sector bets generated the largest positive/negative return contributions

Risk-Adjusted Metrics

Calculate Information Ratio, Sharpe ratio, tracking error, and alpha significance for manager skill evaluation

Benchmark Decomposition

Compare portfolio performance against relevant benchmarks and decompose source of outperformance/underperformance gaps

Performance Attribution Reporting

Generate institutional-grade attribution tables with variance explanations and contribution analysis

Tail Event Analysis

Forensically investigate periods of underperformance to identify factor exposures and positioning decisions

Example Output

Example 1: Quarterly Attribution Report

  • Portfolio Return: 3.2% | Benchmark Return: 2.1% | Outperformance: 1.1%
  • Alpha Contribution: +0.8% (manager skill)
  • Beta Contribution: +0.3% (factor exposure)
  • Top Contributors: Tech sector position (+0.45%), Quality factor overweight (+0.25%)
  • Detractors: Energy sector underweight (-0.15%)

Example 2: Factor Decomposition

  • Market Beta: 1.05 (5% equity market exposure beyond benchmark)
  • Value Factor: +0.3% (overweight to value stocks)
  • Momentum Factor: +0.2% (position in recent winners)
  • Quality Factor: -0.1% (underweight to quality)
  • Unexplained Alpha: +0.4% (pure manager skill)

Example 3: Performance Attribution by Position | Holding | Weight | Return | Contribution | | Apple | 8% | 12% | +0.96% | | Treasury 10Y | 15% | -2% | -0.30% | | NVIDIA | 6% | 25% | +1.50% |

What's Included

  • SKILL.md instruction file with attribution methodology frameworks:
  • Multi-factor attribution model template (Brinson-Fachler framework):
  • Risk-adjusted performance metrics calculator template:
  • Institutional attribution report generator with variance explanations:
  • Benchmark decomposition worksheet for sector and factor analysis:
  • Alpha significance testing checklist for manager skill validation:

Who It's For

  • Quantitative Analysts — Evaluate portfolio manager performance and isolate skill from factor exposure
  • Institutional Portfolio Managers — Validate investment thesis through rigorous performance attribution
  • Investment Consultants — Generate client-grade performance reporting with statistical rigor
  • Risk Managers — Decompose portfolio risk and identify factor-driven performance drivers
  • Compliance & Reporting Teams — Document performance sources for regulatory and client disclosure

Best For

  • Decomposing quarterly/annual portfolio returns into explicit performance drivers
  • Evaluating whether managers generated true alpha or captured factor premiums
  • Identifying which holdings, sectors, or themes contributed most to outperformance
  • Building institutional client reports with variance explanations and statistical rigor
  • Forensically investigating periods of underperformance or tail events
  • Validating investment theses by showing performance consistency with documented strategy

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