Infrastructure ETFs: Factor Exposures, Regime Risk, and Portfolio Roles

Infrastructure exchange-traded funds share a label but not a common economic exposure. Using a survivorship-adjusted universe of U.S.-listed infrastructure and infrastructure-adjacent ETFs, monthly CRSP returns through April 2026, and seven replicable archetypes, this study tests whether differences visible in mandates survive formal empirical scrutiny. Raw returns, Sharpe ratios, and factor-adjusted alphas do not differ reliably across archetypes, but volatility, market beta, income characteristics, within-group similarity, and several systematic factor loadings do. Owner/operator funds are the lowest-beta and lowest-volatility group; development, renewable/power, digital, energy-network, water, and hybrid funds perform different portfolio jobs. Downside and rate-regime results reinforce the distinction. Starting from a 60/40 equity bond benchmark, a 60/30/10 infrastructure reallocation case and a constrained infrastructure sleeve optimization show that the preferred archetype changes with defensive, growth, income, and diversification objectives. Infrastructure selection should begin with portfolio function, not fund label or recent return.

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Publication Details

Journal
The Journal of Alternative Investments
Published
2026-11-06
DOI
https://doi.org/10.3905/jai.2026.020
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
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article

Infrastructure ETFs: Factor Exposures, Regime Risk, and Portfolio Roles

Xuan Feng, Ziming Meng
The Journal of Alternative Investments
Financial Markets and Investment Strategies
article

Infrastructure ETFs: Factor Exposures, Regime Risk, and Portfolio Roles

Xuan Feng, Ziming Meng
article en

Abstract

Infrastructure exchange-traded funds share a label but not a common economic exposure. Using a survivorship-adjusted universe of U.S.-listed infrastructure and infrastructure-adjacent ETFs, monthly CRSP returns through April 2026, and seven replicable archetypes, this study tests whether differences visible in mandates survive formal empirical scrutiny. Raw returns, Sharpe ratios, and factor-adjusted alphas do not differ reliably across archetypes, but volatility, market beta, income characteristics, within-group similarity, and several systematic factor loadings do. Owner/operator funds are the lowest-beta and lowest-volatility group; development, renewable/power, digital, energy-network, water, and hybrid funds perform different portfolio jobs. Downside and rate-regime results reinforce the distinction. Starting from a 60/40 equity bond benchmark, a 60/30/10 infrastructure reallocation case and a constrained infrastructure sleeve optimization show that the preferred archetype changes with defensive, growth, income, and diversification objectives. Infrastructure selection should begin with portfolio function, not fund label or recent return.

The Journal of Alternative Investments
Ecole des Hautes Etudes Commerciales du Nord (FR)
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Financial Markets and Investment Strategies
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