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S&P500MOMENTS
Return Statistics
Factor Model
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Overview
Moments
Rolling
Cross-Section
Relationships
Vs Index
Sectors
Stability

Sector performance map

Box size = market cap · color = mean daily return in window

Top / bottom performers in window (mean daily return)

Summary of cross-sectional statistics (describe)

Per-stock statistics

S&P 500 index — 30-day rolling mean / variance / skewness / kurtosis

Cross-sectional density of stock returns over time (3-D)

Sampled every N-th trading day for performance — adjust with the control below.

Daily cross-sectional variance / skewness / kurtosis

Pairwise relationships between the six statistics

Distribution of each stock's correlation with the S&P 500 index

Correlation with index — full table

Within-sector vs. between-sector pairwise correlations

Mean pairwise correlation by sector

Compare two sub-periods and test stability (Kolmogorov-Smirnov)

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Period A — 30-day rolling index moments

Period B — 30-day rolling index moments

Kolmogorov-Smirnov stability tests (Period A vs Period B)

Factor loadings by sector (Fama-French 5-factor betas)

Alpha ranking (Benjamini-Hochberg FDR corrected)

Unsupervised style clustering

Cluster vs. GICS sector crosstab

Rolling factor loadings

Full sample, trailing ~2-year windows -- not affected by the date picker above.

Contemporaneous vs. predictive (t+1)

Daily vs. monthly frequency

Linear (OLS) vs. random forest — out-of-sample

Out-of-sample R² — OLS vs. random forest, per stock