What taxes do to an income portfolio

This is the part almost nobody shows. A strategy that earns 18% a year before tax can hand you 10% after it, and the gap is not a detail: over ten years it is most of the result. Here is where it goes, and how much of it comes back.

Why income is taxed harder than growth

On a distribution you pay tax on the whole amount, the day it arrives. On a sale you pay only on the gain, which after a few years is roughly half the value — so the effective cost is about half. An accumulating index fund pays almost nothing until you sell; an income portfolio pays every single month.

18.2% → 12.7% Income Target 5, before and after Italian taxes. The same strategy, the same period: five and a half points a year go to the tax authority, because everything it earns is distributed.

That is the honest starting point, and it is why this site shows both figures everywhere. But the gap can be reduced, and the next part is the one that matters.

Offsetting losses: the part that comes back

In Italy the income and gains of certificates and ETNs — the IncomeShares products, and some YieldMax ones — are "redditi diversi". A loss you realise can be set against them for the current year and the four that follow. Harmonised ETFs cannot do it: their income is "redditi di capitale", taxed in full whatever losses you carry.

How it works in practice

You sell what is at a loss and buy it straight back, at the same price. Nothing changes in your portfolio except that the loss is now realised and sits in your "zainetto fiscale", ready to absorb the tax on the next distributions.

What it costs

Two commissions for each sell-and-rebuy, and the risk that the price moves between the two orders. On our simulations the site charges both commissions, so the figures you see already include the cost.

What it gives back

On strategies full of eroding option-income products the recovery is worth several points a year. On a portfolio of harmonised dividend ETFs it is worth nothing, because those funds cannot use it.

Switch it on in your tax profile and every figure on the site is recalculated, strategy by strategy. Each strategy page then says in one line how many points the offsetting is adding — or would add, if you have it switched off.

Setting up your tax profile

It takes a minute and changes every number you will see afterwards. Nothing is sent to us: the profile stays in your browser.

  1. Pick your countryChoosing it fills in the usual rates. Every field stays editable, because your situation may differ from the standard one — and if your country is not listed, choose "Another country / custom rates" and type your own.
  2. Check the two main ratesTax on distributions, withheld when each payment arrives, and tax on capital gains, paid when a fund is sold at a profit. In Italy both are 26%.
  3. Add the yearly tax on the portfolio valueThe Italian stamp duty is 0.2% a year on the value of the account. Small, but it compounds against you.
  4. Set the reduced rate on government bondsItaly taxes white-list government bonds at 12.5% instead of 26%. We know the government share of part of our bond universe; where we do not, the ordinary rate is applied, which errs against you rather than in your favour.
  5. Decide on offsetting realised lossesThe checkbox described above. If you hold certificates and your broker works in "regime amministrato", it is usually worth having on.
  6. Enter your broker's commissionWhat you pay for one buy or one sell. It is applied to every trade in the strategies and in the simulator, which is why a strategy that rotates often looks worse here than elsewhere: because it is.

Set up your tax profile

What we cannot do for you

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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