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QUANTITATIVE PAIR DOSSIER • SYSTEMIC COVARIANCE

Apple Inc (AAPL) ↔ Invesco QQQ Nasdaq-100 ETF (QQQ)

Institutional Econometric Pair Analysis: Apple Inc (AAPL) vs Invesco QQQ Nasdaq-100 ETF (QQQ)

▦ Explore 2D Heatmap Matrix (220 Assets)
BASELINE 180D R
+0.04
Historical anchor
LIVE 30D R
+0.15
30-Day Pearson R
Correlation Shift (ΔR)
+0.11
Covariance shift
Empirical Lag
+7d
Transmission horizon
REGIME
CONSOLIDATION
Quant classification
Rolling Correlation Trajectory (180d → Current) 180D ROLLING PEARSON R (SSR TELEMETRY)
+0.80.0-0.8180d+0.04120d+0.0390d-0.0260d+0.1030d+0.1514d+0.26Now+0.15

Inter-Asset Liquidity Transmission Channel

Empirical rolling covariance between QQQ and AAPL computed from 180-day daily market closes.

🔍 1. What are the Causes (Fundamental Drivers & Decoupling)

The historical baseline Pearson correlation coefficient between Apple Inc (AAPL) and Invesco QQQ Nasdaq-100 ETF (QQQ) stands at R = +0.04, whereas the current 30-day rolling correlation is recorded at R = +0.15 (dynamic shift ΔR = +0.11). Empirical rolling covariance between QQQ and AAPL computed from 180-day daily market closes. Key fundamental drivers and liquidity transmission: 1. Transmission Channel: Capital rotation across STOCKS and STOCKS reflects broader institutional risk appetite and monetary liquidity cycles. 2. Lead-Lag Horizon: Velocity shifts in AAPL transmit directional pricing pressure into QQQ with an empirical median lead of 7 calendar days. 3. Current Regime (CONSOLIDATION): Covariance structure remains consistent with historical institutional baseline regimes.

🌐 2. What is the Significance (Systemic Macro Impact)

Systemic Macroeconomic Significance & Market Impact: • Market Regime: Moderate factor co-movement governed by sector-specific momentum. • Discount Rate & Sovereign Yield Channel: Cross-elasticity influences multi-asset allocation, risk-parity balance sheets, and collateral valuations. • Institutional Footprint: Covariance drift of ΔR = +0.11 prompts quantitative portfolio managers to reweight exposure vectors and hedge tail risk.

🎯 3. How to Use (Institutional Desk & Private Portfolio Strategy)

Actionable Strategy for Institutions & Private Portfolios: 1. Institutional Desk (Pairs Trading): Track AAPL as an early warning trigger for QQQ repricing on a 7-day forward window. 2. 💼 For Private Investors (Unleveraged Spot / ETF Portfolio): Low cross-correlation (R = +0.15) provides genuine multi-asset diversification. 3. Spot Rebalancing Window: Inflections in AAPL provide a ~5-day lead window to adjust spot/ETF allocations in QQQ. 4. Model Invalidation: Correlation sign flip sustained across more than 11 consecutive trading sessions signals structural regime failure.

🔮 4. What will it Lead to (Forward Scenario Outlook)

Scenario Outlook Across Forward 7-Day Horizon: • Base Case (65% Probability): Gradual spread normalization under the "CONSOLIDATION" regime, fulfilling the empirical lead-lag lag of 7 days. • Stress Case (25% Probability): Widening dislocation amidst persistent exogenous volatility, followed by rapid impulse catch-up. • Consolidation (10% Probability): Volatility contraction across both assets leading to sideways range-bound co-movement.
🔗 RELATED CORRELATION PAIRS
BTC ↔ QQQ R: +0.58 SPX ↔ QQQ R: +0.94 QQQ ↔ US10Y R: -0.44 AAPL ↔ MSFT R: +0.44 NVDA ↔ QQQ R: +0.84 QQQ ↔ SPX R: +0.94

2D Cross-Asset Correlation Matrix, Decoupling Radar & Portfolio X-Ray

Below is the interactive two-dimensional Pearson correlation matrix covering all 220 tracked assets.

💼 Personal Portfolio X-Ray: Fake Diversification Detector & Hedge Finder

Select 2 to 8 assets you hold. Our engine computes your real intra-portfolio correlation from 180-day daily returns, identifies your primary macro vulnerability, and finds the top 3 inverse hedges across all 220 tracked assets.

Custom Correlation Matrix Builder (Up to 10 assets per axis)

Y-AXIS (ROWS): (0 / 10)
X-AXIS (COLUMNS): (0 / 10)
220 TRACKED ASSETS BREAKDOWN
ASSET / TICKER LEADING DRIVER BASELINE 180D R LIVE 30D R LEAD LAG REGIME ACTION
PAIR CORRELATION DYNAMICS

Bitcoin (BTC) ↔ Ethereum (ETH)

Rolling Correlation Trajectory (180d → Current) 180D ROLLING PEARSON R
BASELINE R
+0.84
CURRENT 30D R
+0.81
Correlation Shift (ΔR)
-0.03
Empirical Lag
+7 Days
REGIME
COUPLED

Inter-Asset Liquidity Transmission Channel

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