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Portfolio Theory | Skills Pool

Skill-Datei

Portfolio Theory

Portfolio theory workflows for equilibrium asset pricing, diversification math, and risk-return tradeoff analysis. use when tasks involve theoretical portfolio design, efficient frontiers, and benchmark-relative allocation reasoning.

GhostOf0days0 Sterne10.02.2026

Beruf
Kategorien: Finanzen & Investitionen

Skill-Inhalt

objective

Apply portfolio theory to derive robust allocation principles and theoretical risk-return diagnostics.

workflow

define investable universe, return assumptions, and covariance model.
derive efficient frontier and tangency portfolios under constraints.
analyze diversification benefit and marginal risk contribution.
compare equilibrium-implied returns to observed risk premia.
release only when theory outputs are reconciled with implementation limits.

required diagnostics

efficient-frontier stability under parameter perturbation.
marginal contribution to risk by asset and factor.
concentration and diversification diagnostics.
implied-versus-realized risk-premium divergence.
constraint shadow-price interpretation.

risk controls

enforce covariance regularization and robustness checks.

Verwandte Skills

Schnellinstallation

Portfolio Theory

npx skillvault add GhostOf0days/ghostof0days-codex-quant-skills-portfolio-theory-skill-md

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Autor: GhostOf0days
Sterne: 0
Aktualisiert: 10.02.2026
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enforce limits on unstable frontier points.

enforce interpretation checks before production use.

outputs

run python scripts/portfolio_theory_diagnostics.py input.csv --output diagnostics.json and keep the json artifact.
write an implementation memo using references/portfolio-theory-playbook.md with assumptions, tests, limits, and rollout plan.

resources

use scripts/portfolio_theory_diagnostics.py for deterministic diagnostics.
use references/portfolio-theory-playbook.md for the domain checklist and delivery structure.

02

workflow

03required diagnostics

04risk controls

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