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DASHBOARDS: Portfolio Hub Market Pulse Performance Compare Studio

SPIB

SPDR Portfolio Intermediate Term Corporate Bond ETF
TREND FOLLOWING PERFORMANCE HISTORY
2026-09-09
Executive Summary
The quantitative backtest for SPIB (SPDR Portfolio Intermediate Term Corporate Bond ETF) using the Excess Return SMA* strategy in a Investing context demonstrated its primary role in risk mitigation, experiencing a maximum drawdown of -8.4% (compared to the benchmark's drawdown of -14.9%). Over the evaluated period, this protective approach generated a Compound Annual Growth Rate (CAGR) of 3.2%, compared to a Buy-and-Hold benchmark return of 3.2%. The strategy executed 3 total trades.

* Excess Return SMA: Advanced Single Moving Average model utilizing custom duration weighting and dynamic Stop Loss limits.

🛡️ SPIB Drawdown Shield & Downside Protection

Why Drawdown Dictates Longevity →
Peak Drawdown Defense
-8.4% (vs -14.9% B&H)
+6.5% shallower drawdown
Downside Efficiency
1.23 Sortino
+0.28 vs 0.95 B&H
Capital Sheltered from Risk
19.3% of Time
Earning Treasury yield during downturns
* Drawdown Shield demonstrates how systematic trend-following bounded historical drawdowns and protected principal capital compared to passive Buy & Hold.

📊 SPIB Quality Metrics & KPI Summary

Metric 1Y5Y10YFull
StrategyB&HStrategyB&HStrategyB&HStrategyB&H
Max Drawdown-2.02%-2.02%-8.24%-14.60%-8.45%-14.94%-8.45%-14.94%
Sharpe Ratio0.480.480.740.330.920.581.070.77
Sortino Ratio0.760.760.760.510.920.691.230.95
CAGR1.34%1.34%1.90%1.50%2.59%2.68%3.20%3.24%
% Time Invested100.0%100.0%54.0%100.0%70.0%100.0%80.7%100.0%
Trades / Year0.00.00.00.00.20.00.20.0

Cumulative Growth Performance

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Figure 1: Cumulative Trajectory Analysis. Logarithmic growth comparison of SPIB under the Excess Return SMA strategy (Investing) versus Buy & Hold. The strategy produced a 3.2% CAGR with a -8.4% Max Drawdown across 3 trade signals (compared to Buy & Hold's 3.2% CAGR and -14.9% Max Drawdown).

Return Distribution Analysis

Histogram of monthly return distribution for SPIB under Excess Return SMA strategy in Investing context, illustrating downside risk mitigation and return skewness.
Figure 2: Monthly Return Distribution Profile. Monthly return distribution for SPIB under Excess Return SMA (Investing). Visualizes return frequency, volatility clustering, and tail-risk truncation relative to standard buy-and-hold returns.
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Top 5 non-correlated asset sleeves evaluated on 1Y daily percentage returns (Pearson r). Compare them side-by-side in Compare Studio to analyze portfolio diversification.

Diversifier Asset Category 1Y Correlation (r) Action
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Trade History

This log shows every signal-driven transition. Completed trades reflect standard market cycles. An Open or Mark-to-Market exit denotes an active position (either in the primary asset or a cash/yield sleeve) valued at the current price for reporting purposes. Interest entries record yield accrued from cash or cash alternatives (like BIL) during out-of-market defensive periods.

Entry DateExit DateTypeAllocationEntry PriceExit PriceNet Return %Exit Reason
🔒 Active Positions & Recent Execution Signals Hidden
Trading on delayed data carries high execution risk. Current allocations, pending next-day rebalances, and active execution signals (last 60 days) require a Premium subscription.
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2022-04-18 2024-08-05 Interest (CASH) 100% $1.00 $1.11 10.72% Interest Income
2020-04-06 2022-04-18 Completed 100% $27.36 $27.99 2.24% Signal
2020-03-13 2020-04-06 Interest (CASH) 100% $1.00 $1.00 0.01% Interest Income
2019-03-13 2020-03-13 Completed 100% $26.41 $27.26 3.16% Stop
2018-07-19 2019-03-13 Interest (CASH) 100% $1.00 $1.01 1.47% Interest Income
2011-02-14 2018-07-19 Completed 100% $19.92 $25.43 27.62% Signal
2011-02-10 2011-02-14 Interest (CASH) 100% $1.00 $1.00 0.00% Interest Income

Next Steps: Portfolio Integration & Comparative Analysis

Single-ticker trend following is designed to truncate tail risk inside a broader portfolio. View where SPIB ranks across 40+ tracked assets, evaluate correlation against non-correlated diversifiers, or model it inside a custom all-weather asset mix.

📊 View Full 40-Asset Backtest Matrix → 🛠️ Build Custom Portfolio with SPIB → ⚖️ Compare SPIB vs Non-Correlated Assets →