Quality Assurance & Testing
Statistics Fundamentals
Apply statistical methods to financial data including descriptive statistics, covariance estimation, regression, hypothesis testing, and resampling. Use when the user asks about return distributions, correlation between assets, building a covariance matrix, running a CAPM regression, testing whether alpha is significant, checking if returns are normal, or estimating confidence intervals. Also trigger when users mention 'volatility', 'how correlated are these', 'fat tails', 'skewness', 'R-squared', 'beta of a fund', 'bootstrap a Sharpe ratio', 'shrinkage estimator', 'Ledoit-Wolf', or ask why their optimizer produces unstable weights.
- Publisher / source
- JoelLewis/finance_skills (found on skills.sh)
- Upstream record
- JoelLewis/finance_skills
- Version
- Version 2
- Published
- Publication review
- Approved for publication
- Content fingerprint
f9c40377bf1a1e400b57746dba396e466f47c8221c09e8ea56f19c32f56e9802