Monthly

The Erosion Map

A high distribution is only income if the price holds. For every fund with enough history, the change in price over the period sits next to the total return with distributions reinvested. Three outcomes: the price held, the income covered the fall, or the fund lost money even after paying you.

Funds with a full 3 months of history
38 of 150
Classic Dividend only
Price held
23
price flat or up: the income is all gain
Covered by income
3
price down, total return still positive
Lost money
12
negative even after every distribution
Pro

Shorter periods are part of Pro

The twelve-month map is free for everyone. Pro members can switch to one, three and six months to see which funds are eroding right now, before it shows in the yearly figure.

Fund Category Yield TTM Price, 3 months Income added Total return Outcome
IDWP ↗ iShares
iShares Developed Markets Property Yield UCITS ETF USD Dist ETF
Classic Dividend 3.3% -9.9% +0.8% -9.1% Lost money
GLRE ↗ State Street SPDR
SPDR Dow Jones Global Real Estate UCITS ETF
Classic Dividend 2.7% -9.1% +0.6% -8.5% Lost money
PFFI ↗ Infrastructure Capital
Infrastructure Capital Preferred Income UCITS ETF Distributing ETF
Classic Dividend 8.1% -5.5% +2.1% -3.3% Lost money
MMLP ↗ Alerian
Alerian Midstream Energy Dividend UCITS ETF Dist ETF
Classic Dividend 3.0% -3.9% +0.7% -3.2% Lost money
SDIV ↗ Global X
Global X SuperDividend UCITS ETF USD Dis ETF
Classic Dividend 10.0% -3.4% +2.5% -0.9% Lost money
DHSD ↗ WisdomTree
WisdomTree US High Dividend UCITS ETF
Classic Dividend 2.8% -3.0% +0.7% -2.4% Lost money

No fund matches this search.

Price change is last close to last close over the period, in the fund's trading currency. Total return reinvests each distribution on its ex-date. Funds listed for less than the period are left out: 4 this time.

Important information. Master of Yield is an independent research tool. All content on this site, including fund data, screeners, scores, model portfolios and backtests, is provided for information and education only. Nothing here is investment, legal, tax or accounting advice, nor a recommendation or solicitation to buy, sell or hold any financial instrument. We are not a broker, a bank or an authorised investment adviser, and we have no knowledge of your personal circumstances. Any investment decision you make is yours alone: consult a qualified adviser before acting.

Our approach. Our model portfolios follow a purely quantitative, rules-based method focused on income. Funds are selected, ranked and rotated by statistical criteria applied mechanically: price erosion since inception, sustainability of distributions, dividend growth, yield and total return. No discretionary judgement or view on individual companies or markets is involved, and the same rules apply to every fund.

About the backtests. Portfolio results are hypothetical simulations run on historical data, not records of real trades or of any real account. Among other simplifications, they assume every fund could be bought and sold at its month-end price with no spread, commission or market impact; they show figures before tax unless you set your own tax profile under "Taxes", where you choose your country and can adjust every rate and the commission your broker charges per trade — those figures are an estimate, not a tax calculation; and they convert every amount to euro at the daily exchange rate. The fund universe only contains products that exist today, so funds that closed in the past are missing, which tends to flatter results. Many funds have short histories, so some results cover only a few years of a largely rising market. Rules may be refined over time and each refinement is applied to the full history, so past results can change. Past or simulated performance does not guarantee future results, and every investment can lose value, including the capital invested.

About the data. Data is collected from publicly available open sources and third-party providers and is not independently verified. No warranty is given as to its accuracy, completeness or timeliness. Always check figures with the fund provider before acting. Fund reference data (expense ratio, fund size, domicile) is completed with the EU ETF Universe dataset by Danimoth, used under the CC BY 4.0 licence: danimoth.com/dataset.

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