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Mixed active equity funds with cautious risk score but notable concentration and moderate long term performance

Report created on Sep 24, 2026

Risk profile Info

3/7
Cautious
Less risk More risk

Diversification profile Info

2/5
Low Diversity
Less diversification More diversification
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Positions

The portfolio is split evenly across ten active mutual funds, each holding 10%, with no single fund dominating by weight. Most of these funds are broadly diversified “one stop” products on their own, so combining many of them can create overlap instead of extra diversification. The overall setup is clearly tilted toward growth-oriented investing because there are no explicit bond or cash funds listed. The cautious risk classification mostly comes from how these funds have behaved historically rather than from a large low-risk allocation. Structurally, this is an actively managed multi-fund equity mix where risk is driven by what the underlying managers do, not by a simple index rule.

Growth Info

From 2018 to 2026, €1,000 grew to about €2,038, which is a compound annual growth rate (CAGR) of 9.62%. CAGR is like average speed on a long car trip: it smooths out the bumps to show steady annual progress. Over the same period, the US and global equity benchmarks grew faster, with higher CAGRs, so the portfolio underperformed them by 4–8 percentage points per year. The portfolio’s worst peak-to-trough drop was -26.29% during early 2020, smaller than benchmark drawdowns. That shows some downside cushioning, but also that giving up upside in strong markets was the trade-off historically. As always, past numbers only describe history, not a promise.

Projection Info

The Monte Carlo projection uses many simulated paths based on past volatility and return patterns to estimate future ranges. Think of it as rolling the dice 1,000 times with realistic odds instead of guessing a single outcome. Over 15 years, the median path takes €1,000 to about €1,547, with a wide likely range from roughly €1,156 to €2,140. The overall average simulated return is 3.74% per year, much lower than the historical 9.62%, which reflects how the model bakes in uncertainty and mean reversion. About 55% of simulations end positive, so outcomes cluster around modest real growth rather than dramatic gains. These scenarios are rough guides, not forecasts.

Asset classes Info

  • Stocks
    70%
  • Mixed
    20%
  • No data
    10%

By asset class, around 70% is classified as stocks, 20% as mixed, and 10% has no data. The “mixed” slice likely reflects multi-asset funds that blend equities with other instruments, but the exact recipe isn’t visible here. This means most of the portfolio’s behaviour will follow global equity markets, while a smaller part can smooth returns or add flexibility. Compared with a pure equity benchmark, this structure is somewhat more defensive, as mixed funds often dampen volatility. However, the absence of explicit bond-only or cash funds in the breakdown reinforces that the core engine is still equity risk. This equity-led structure fits with the moderate but not ultra-low drawdowns observed historically.

We don't have a breakdown of what these holdings contain, so these sections are left out: Sectors, Regions, Market capitalization.

Risk contribution Info

  • Allianz Global Artificial Intelligence AT Acc EUR
    Weight: 10.00%
    21.5%
  • DWS VERMOEGENSBIL.FD.I LD
    Weight: 10.00%
    12.6%
  • DWS Akkumula LC
    Weight: 10.00%
    12.4%
  • UNIGLOBAL ANTEILSSCH.KL.
    Weight: 10.00%
    10.6%
  • Deka-DividendenStrategie CF (A)
    Weight: 10.00%
    9.8%
  • Top 5 risk contribution 66.8%

Risk contribution shows how much each holding adds to overall ups and downs, which can differ a lot from its percentage weight. Here, the Allianz Global Artificial Intelligence fund is only 10% by weight but contributes about 21.45% of portfolio risk, more than double its share. That means its volatility and correlations make it the loudest “instrument in the orchestra.” The next two largest risk contributors are DWS VERMOEGENSBIL.FD.I LD and DWS Akkumula LC, which together with Allianz AI make up around 46% of total risk. This concentration in three funds is notable in a portfolio where every position is sized equally and highlights how position size and risk are not the same thing.

Redundant positions Info

  • DWS Akkumula LC
    DWS VERMOEGENSBIL.FD.I LD
    High correlation

Asset correlation measures how often holdings move together. A correlation close to 1 means two investments usually rise and fall in tandem, reducing diversification benefits between them. The report flags one highly correlated pair: DWS Akkumula LC and DWS VERMOEGENSBIL.FD.I LD. Since both are 10% positions, their near-identical movements effectively behave like a single enlarged bet rather than two independent diversifiers. This is not “bad” by itself, but it means the number of line items may overstate true diversification. When several active funds share style and holdings, overall portfolio risk can bunch up during market shocks, even if the list of products looks impressively long.

Risk vs. return

This chart shows the Efficient Frontier, calculated using your current assets with different allocation combinations. It highlights the best balance between risk and return based on historical data. "Efficient" portfolios maximize returns for a given risk or minimize risk for a given return. Portfolios below the curve are less efficient. This is informational and not a recommendation to buy or sell any assets.

Click on the colored dots to explore allocations.

The risk–return chart plots annualized volatility on one axis and expected return on the other, with the “efficient frontier” showing the best achievable combinations using these holdings. The current mix has a Sharpe ratio of 0.68, which measures return per unit of risk after adjusting for a 2.5% risk-free rate. The optimal mix on the frontier has a higher Sharpe of 1.03, while the minimum-variance mix sits at 0.51 with much lower risk. The current portfolio lies about 1.91 percentage points below the frontier at its risk level, meaning that, mathematically, different weights in the same funds could have achieved higher return or lower risk historically without adding new products.

Dividends Info

  • UniRak not available
  • UNIGLOBAL ANTEILSSCH.KL. not available
  • DWS Top Dividende LD not available
  • Carmignac Patrimoine A EUR Acc not available
  • FvS SICAV Multiple Opportunities not available
  • DWS VERMOEGENSBIL.FD.I LD not available
  • Deka-DividendenStrategie CF (A) not available
  • Weighted yield (per year) not available

Several funds in the portfolio display dividend yields, and there is also an overall yield figure, although exact percentages are not filled in the data. Dividends are cash payouts from underlying companies or income from other assets that funds distribute or reinvest. Over long periods, they can be a significant part of total return, especially when reinvested, even if they look small year by year. Because there are dedicated dividend strategies in this portfolio, income is clearly part of the design. That focus tends to tilt holdings toward mature, cash-generative companies, which can sometimes be less volatile than pure growth names but may lag in very strong, growth-led bull markets.

Ongoing product costs Info

  • DWS Akkumula LC not available
  • UniRak not available
  • UNIGLOBAL ANTEILSSCH.KL. not available
  • DWS Top Dividende LD not available
  • Carmignac Patrimoine A EUR Acc not available
  • Templeton Growth (Euro) Fund A(acc)EUR not available
  • FvS SICAV Multiple Opportunities not available
  • Allianz Global Artificial Intelligence AT Acc EUR not available
  • DWS VERMOEGENSBIL.FD.I LD not available
  • Deka-DividendenStrategie CF (A) not available
  • Weighted costs total (per year) not available

All listed holdings have a TER (Total Expense Ratio), but the specific percentages are not shown, even though a total TER is mentioned. TER is the annual fee the fund charges to cover management and operating costs, deducted inside the fund, so you never see an explicit bill. Over many years, even a small difference in TER compounds and can significantly affect end wealth, much like a small leak in a water tank. Active mutual funds often have higher TERs than index trackers, reflecting research and portfolio management. Without exact numbers, the absolute and relative cost efficiency cannot be measured here, but they remain an important hidden drag on returns.

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