Finance · Generic · Portfolio · Risk Analysis
Executive Summary

Executive Summary

Portfolio-level risk snapshot and worst/best risk-adjusted asset

n_observations
4000
n_assets
8
portfolio_var_95
-0.034
avg_ann_volatility
0.3194
worst_sharpe
-0.989
best_sharpe
0.348
worst_max_drawdown
-0.8857
This portfolio covers 8 assets over 500 trading days. Portfolio-level 1-day VaR at 95% confidence is -3.4%. The worst risk-adjusted asset is META (Sharpe: -0.99, max drawdown: -88.57%). The best risk-adjusted asset is GOOGL (Sharpe: 0.35).
Interpretation

This portfolio covers 8 assets over 500 trading days. Portfolio-level 1-day VaR at 95% confidence is -3.4%. The worst risk-adjusted asset is META (Sharpe: -0.99, max drawdown: -88.57%). The best risk-adjusted asset is GOOGL (Sharpe: 0.35).

Data Table

Risk & Performance Metrics by Asset

Per-asset VaR, Sharpe, Sortino, max drawdown and annualised volatility

assetsharpevar_95var_99sortinomax_drawdownann_volatility
AAPL0.077-0.0342-0.0480.119-0.37450.3262
AMZN-0.674-0.0314-0.0413-1.145-0.59710.301
GOOGL0.348-0.0309-0.04390.64-0.44380.3209
JPM0.273-0.0359-0.0460.434-0.34990.3284
META-0.989-0.0355-0.0448-1.665-0.88570.3283
MSFT-0.203-0.0324-0.0468-0.322-0.34420.3077
TSLA-0.239-0.0331-0.0454-0.387-0.48510.3123
V-0.302-0.036-0.0504-0.478-0.40890.3306
Interpretation

Across 8 assets, Sharpe ratios range from -0.99 to 0.35. V shows the worst 1-day VaR at -3.6%. Annualised volatility ranges from 30.1% to 33.1%. GOOGL leads on risk-adjusted returns with Sharpe 0.35.

Visualization

30-Day Rolling Volatility

Annualised rolling 30-day volatility by asset

Interpretation

Rolling 30-day annualised volatility is shown for all 8 assets across 3968 data points. Spikes in rolling volatility indicate periods of elevated market stress. Assets with persistently high rolling volatility carry greater uncertainty and may warrant reduced position sizing.

Visualization

Asset Return Correlation Matrix

Pairwise Pearson correlation of daily returns

Interpretation

The correlation heatmap covers all 8 assets. The most correlated pair is META–JPM (r = 0.046). 17 asset pairs show negative correlations, providing natural hedging benefits. High cross-asset correlations reduce diversification benefit and increase tail risk.

Visualization

Return Distribution with VaR Markers

Histogram of daily returns by asset with 95% VaR reference

Interpretation

Return histograms are shown for all 8 assets using 20 equal-width bins. The distribution shape reveals whether fat tails exist beyond the 95% VaR threshold. Assets with higher kurtosis have more extreme return observations than a normal distribution would predict, meaning parametric VaR may underestimate true tail risk.

Visualization

Cumulative Drawdown by Asset

Drawdown series for all assets relative to running peak

Interpretation

Drawdown series are computed as cumulative return minus cumulative peak for each asset. META experienced the deepest maximum drawdown at -88.57% of peak value. Drawdown duration and depth together reveal resilience — assets that recover quickly pose less long-term capital risk even with deep short-term declines.

Visualization

Annualised Volatility by Asset

Annualised volatility ranking — highest volatility assets identified

Interpretation

V has the highest annualised volatility at 33.1%, versus a portfolio average of 31.9%. Assets ranked highest here contribute disproportionately to total portfolio variance and should be examined first for position-sizing or hedging interventions.

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