IGR vs RITA

Key Takeaways

• IGR is a leveraged, actively managed closed-end fund (CEF) pursuing high current income, while RITA is a passive, low-cost ETF tracking a green and socially responsible investing (SRI) global real estate index.
• Both funds are effectively concentrated in real estate, but IGR uses borrowings and carries a materially higher total expense ratio (roughly 3.8%), whereas RITA charges a flat 0.50% with no leverage.
• Top holdings overlap significantly: WELL, EQIX, and SPG appear prominently in both portfolios.
• RITA is far smaller and less liquid, with single-digit-million-dollar assets, while IGR is larger and trades more actively.
• Tickeron AI Verdict: RITA.

Introduction

These two funds invite comparison because they occupy the same broad asset class — listed real estate — yet pursue it through fundamentally different structures. IGR is an income-oriented closed-end fund that uses leverage, while RITA is an index-based, sustainability-screened ETF. They do not compete head-to-head on strategy, but investors weighing real estate exposure frequently encounter both. Comparing their structural design, cost profiles, and sector positioning helps clarify which vehicle better fits a given goal in the current interest-rate and growth environment.

CBRE Global Real Estate Income Fund (IGR) Overview

IGR is a diversified, actively managed closed-end fund (CEF) advised by CBRE Investment Management Listed Real Assets. Its primary objective is high current income, with capital appreciation as a secondary goal. The fund invests at least 80% of its assets in income-producing real estate securities across developed markets, and it employs leverage (borrowings) to enhance income — a defining structural feature that also magnifies risk.

The portfolio holds roughly 80 positions and is effectively 100% real estate. Top holdings include WELL, EQIX, INVH, AMT, SUI, SPG, CCI, AVB, and VTR. Geographically, the United States dominates at roughly two-thirds of assets, with smaller exposures to Japan, Australia, the United Kingdom, and other developed markets. Its total expense ratio is approximately 3.84%, which includes a management fee near 1.25% plus roughly 2.35% in interest expense tied to its leverage. As a CEF, IGR trades on an exchange and can deviate from its net asset value (NAV), at times at a premium or discount.

ETFB Green SRI REITs ETF (RITA) Overview

RITA is a passive ETF that seeks to track the FTSE EPRA Nareit IdealRatings Developed REITs Islamic Green Capped Index. The index selects exchange-listed real estate investment trusts (REITs) in developed markets that satisfy business, financial, SRI, and green screening criteria, excluding certain income sources such as mortgage REITs. The fund generally uses a replication strategy and is classified as non-diversified.

The fund holds roughly 50 to 60 securities and is fully allocated to real estate. Its largest positions include WELL, IRM, SPG, VMRK, PLD, EQIX, and DLR, alongside non-U.S. names such as Nippon Prologis REIT and Goodman Group. The expense ratio is 0.50%. Key structural caveats are its small size — assets under management (AUM) in the low single-digit millions — and limited average trading volume, which can affect execution and bid-ask spreads relative to larger real estate funds.

Industry and Thematic Backdrop

Both funds operate within the global listed real estate sector, whose performance is heavily influenced by interest-rate expectations, capitalization rates, and the strength of tenant demand. In recent market cycles, real estate has been bifurcated: data-center, industrial, and healthcare REITs have benefited from digitization, artificial intelligence infrastructure buildout, and aging demographics, while traditional office and retail property face structural headwinds. Sustainability and ESG (environmental, social, and governance) screening also continues to draw capital flows, supporting demand for vehicles such as RITA. Leverage, meanwhile, remains a double-edged sword — it amplifies income and returns when financing costs fall, but raises sensitivity to higher borrowing costs and property valuations.

Performance and Positioning Comparison

Over recent weeks and months, the two funds have been shaped by the same macro forces but with different intensity. RITA’s tilt toward data-center and industrial names such as IRM, EQIX, and DLR has aligned it with the strongest segment of the real estate complex, supporting relative momentum. IGR offers broader, income-heavy exposure but carries additional volatility from its use of leverage and can trade at a discount to NAV, which both boosts its distribution potential and introduces valuation complexity. In terms of relative positioning, RITA skews toward growth-oriented, sustainability-screened property types, while IGR emphasizes current income across a wider property spectrum.

AI Screener

Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending tickers, breakout candidates, and market opportunities more efficiently than manual screening. Explore the AI Screener to surface real estate ideas aligned with your own criteria.

Tickeron AI Verdict

Based on observable structural factors, Tickeron’s AI would likely favor RITA in this comparison. Its passive, transparent design, materially lower 0.50% expense ratio, absence of leverage, and exposure to high-momentum data-center and industrial REITs present a cleaner risk-reward profile than IGR’s leveraged, higher-cost structure. However, the verdict is probabilistic rather than absolute: RITA’s small asset base and limited liquidity are meaningful drawbacks, while IGR remains attractive for income-focused investors willing to accept leverage and CEF discount dynamics. The AI preference reflects cost efficiency, trend consistency, and lower structural risk — not a forecast of future returns.

Disclaimer

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