1Mês·

The enemy of the best is often the good.


I have these ETFs in my portfolio:


$TDIV (-1,18%)

$GGRP (+0,21%)

$FUSD (+0,07%)

$FGEQ (-0,2%)


Some, if not all, have outperformed the MSCI World at times.

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At the moment they are all about the same weighting and should be increased further. While I am trying to implement a growth strategy with equities, these ETFs are intended to generate passive income.

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Objectively speaking, I would have to sell the $FUSD (+0,07%) as it further increases the US share and overlaps heavily with at least two of the other ETFs. In other words, it reduces diversification in all respects.

But on the other hand $FUSD (+0,07%) also the one with the best past return and will probably remain so in the future.

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One approach could be to take the US weighting and overlaps into account in the ETF weighting of the portfolio and implement it as follows, for example:


$TDIV (-1,18%) 40%

$GGRP (+0,21%) 30%

$FGEQ (-0,2%) 15%

$FUSD (+0,07%) 15%


If the ETFs were weighted in this way, the following allocations would result:


Countries/Regions:

USA 56.4%

Canada 4.4%

Europe 33.2%

Asia 5.4%


Top 10 weighting:

$MSFT (+1,27%) 3%

$AAPL (+0,08%) 3%

$VZ (-2,95%) 2,3%

$CVX (-2,15%) 2,1%

$ROG (-0,38%) 2%

$NVDA (+3,24%) 1,9%

$PFE (-1,32%) 1,7%

$HSBA (-0,06%) 1,6%

$IBM (+1,96%) 1,4%

$AVGO (+0,09%) 1,4%


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What do you think of this allocation example? Do you have any suggestions for improvement or comments?

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9 Comentários

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$GGRP or $FGEQ. Liquidate the remainder and invest in the selected ETF.
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Your whole depot and your post scream out loud: "Hindsight Bias!"

Time for real diversification.
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Is Japan included in Asia? Then I would find the share too low.
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I would play around with backtests as much as possible. Curvo, for example, has optimization tools. The only problem is that some etfs do not allow such wide backtests.
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