iQ ETF Multi-Asset Income Model
Investment Objective
The iQ ETF Multi-Asset Income Model seeks current income and capital appreciation by investing in a concentrated portfolio of high-yielding US ETFs with demonstrated multi-year distribution histories, selected through a combination of yield consistency screening and technically driven momentum signals. The strategy targets income-generating funds whose yield profiles are supported by favorable technical conditions, aiming to deliver reliable income while seeking to manage downside risk.
Best Fit Index: High Yield US Bonds
Investment Process
1. Universe Construction
The iQ ETF Multi-Asset Income Model begins with all domestically-traded ETFs.
2. Tier One — High-Conviction Momentum Sleeve (Top 5)
The first tier applies five parallel sub-screens to identify the highest-conviction names within the starting universe.
Each sub-screen then applies a unique final filter:
Sub-Screen 1 — Low Drawdown + Bond Correlation Requires top-tier 24-period bond correlation and selects the bottom 5 by 9-period maximum drawdown — targeting REITs with bond-like stability and minimal recent price deterioration.
Sub-Screen 2 — Bond Correlation + Stochastic Momentum Requires top-tier 24-period bond correlation and ranks to the top 5 by 3-period stochastic — combining defensive correlation characteristics with confirmed near-term momentum.
Sub-Screen 3 — Bond Correlation + Price Low Recovery Requires top-tier 24-period bond correlation and selects the top 5 by the ratio of current low to 12-period low — identifying names recovering strongly off recent price lows within a bond-correlated, defensive framework.
Sub-Screen 4 — Stochastic Momentum Only Drops the bond correlation requirement and selects the top 5 purely by 9-period stochastic — a broader momentum signal capturing technically strong REITs regardless of their bond correlation profile.
Sub-Screen 5 — Momentum Deceleration Signal Selects the bottom 5 by the ratio of 12-period to 3-period relative strength — a contrarian signal targeting REITs where longer-term relative strength exceeds near-term, identifying names where short-term weakness may represent an entry opportunity within a sustained longer-term trend.
The five sub-screens are combined and the top 5 names scoring above the 85th percentile advance as the high-conviction momentum sleeve.
3. Tier Two — Broader Yield Sleeve (Top 15)
Running in parallel, a simpler yield-oriented screen applies a slightly relaxed liquidity filter (6-period rather than 12-period average dollar volume above 400) and selects the top 15 ETFs by current yield from the same base universe — casting a wider net to capture the highest-income names not necessarily captured by the momentum sub-screens.
4. Final Portfolio
The two tiers are combined and the top 5 names are selected from the composite, balancing technically confirmed momentum opportunities with broad income exposure across the starting universe.
The Model reconstitutes every February, May, August, and November.
Potential Benefits
Yield Consistency as a Quality Gate Requiring yields above 3% across 12, 24, and 36-period lookbacks means the model only considers ETFs with a demonstrated history of sustained income generation. A single attractive spot yield is not enough — the distribution record has to hold up across multiple time horizons before a name even enters the selection process.
Multiple Entry Signals Reduce Timing Risk Running five parallel momentum sub-screens — each built around a different technical condition — means the strategy is not reliant on any single signal being right at any given time. Drawdown minimization, stochastic momentum, bond correlation, price recovery, and momentum deceleration each offer a different route into the same high-quality yield universe, so valid opportunities are less likely to be missed when one particular signal is out of step with the market.
Complementary Sleeve Design Pairing a technically driven momentum sleeve with a straightforward yield sleeve means the portfolio is never purely at the mercy of technical conditions. When momentum signals are mixed, the yield sleeve ensures the portfolio still holds the highest-income names in the universe. When yield alone is insufficient, the momentum sleeve adds a layer of entry discipline. The two approaches keep each other honest.
Potential Risks:
Income Trap Risk Despite the multi-horizon yield consistency requirement, high and persistent yields can sometimes reflect a deteriorating fund rather than a genuinely attractive income opportunity. ETFs under distribution pressure may maintain payouts longer than underlying fundamentals justify, and the model has no explicit fundamental quality filter to distinguish genuine income strength from a yield that is unsustainable. Shallow Candidate Pool in Yield Downturns Applying multiple eligibility gates — risk rating, yield history, liquidity, and yield floor — across the ETF universe leaves a relatively small number of qualifying names at any given time. In periods of broad income compression, the number of candidates clearing all thresholds may be limited, potentially forcing the model into its least-bad options rather than its best ones. Concentration in Rate-Sensitive Assets A yield-driven ETF screen will naturally gravitate toward income-oriented asset classes — real estate, fixed income, and dividend equity funds — that share a common sensitivity to rising interest rates. In a sustained rate-rising environment, the portfolio may face simultaneous valuation pressure across all five holdings regardless of their individual technical signals.