World, gold and money market: three roles, uneven growth
- iShares Core MSCI World UCITS ETFWorld equities · IWDAIE00B4L5Y983
- iShares Physical Gold ETCPhysical gold · SGLNIE00B4ND3602
- Amundi Smart Overnight Return UCITS ETF AccEuro money market · CSH2LU1190417599
Data and calculation
Angular width shows the holding’s weight. Tiles rise outward for a gain and inward for a loss, on the same scale. The hairline marks zero; very small moves keep a minimum visible band. Returns are the checker’s annualised one-year replay in nominal EUR, using adjusted prices and the engine’s weekly grid. Portfolio weights are held constant; these are not the returns of an investor’s account. Fund costs are embedded, tax and inflation are excluded. Past returns do not predict future returns.
- .
- Fees
- A
- Long-term assumptions
- B
- Historical efficiency
- A
- Crises
- B
- Diversification
- B
This allocation separates corporate growth, exposure to gold and a euro reserve. Its strengths are simplicity and contained fees. Its weakness is that different roles do not create equally strong sources of growth: equities still dominate the long-term engine, while gold fluctuates without paying income.
The brokerage allocation holds 60 % in IWDA, 20 % in SGLN and 20 % in CSH2. IWDA is a physically replicated, optimised developed-market equity ETF. SGLN is a physical-metal ETC, rather than an equity fund. The Amundi listing identifies the selected euro accumulating share class; the holdings table gives the identifiers. [1][2][3]
The practical question is how much resilience the reserve and gold really add, and whether their roles justify the growth forgone. A monetary sleeve and a volatile precious metal provide different forms of cushioning.
Fees: contained recurring costs
Recurring costs of 0.16% per year earn A. The documented fund charges are 0.20% for IWDA and 0.12% for SGLN; the engine’s portfolio total weights the actual holdings and also includes the monetary sleeve. The allocation does not need expensive fund management to obtain these exposures. Its larger tradeoffs concern what the reserve and gold contribute after those costs. [1][2]
- This portfolio
- 13.08%
- MSCI World
- 18.85%
Low recurring costs leave more of each exposure’s return to the investor. Brokerage charges, spreads and personal taxation are outside this reading. The recent return comparison in the fee visual also reflects the smaller equity weight and different exposures; it does not isolate the effect of fees.
Long-term assumptions: the price of a reserve
The reserve sets aside 20 % of capital from equity growth, while gold at 20 % brings a different assumed return and correlation. The mix earns B with an expected compound-growth gap of -1.56 percentage points per year to the model optimum. Gold’s diversification helps the combination, but the cash allocation lowers the expected growth available from the capital committed.
| Portfolio and model optimum | Expected growth | Volatility |
|---|---|---|
| This portfolio | 6.26% | 9.81% |
| Model growth optimum | 7.82% | 15.25% |
Gold provides a return mechanism separate from corporate earnings, but pays no income. Its contribution depends on its price. These roles can be useful even when they do not maximise expected growth. [2]
The growth-optimal reference takes more risk; this gap is not an available improvement at equal risk. The frontier depends on assumed returns, volatility and correlations, without deducting inflation. It gives no timing signal for a market correction.
Crises: a cushion without a guaranteed floor
The model assigns most of the simulated loss to the 60 % World holding. Gold contributes a small gain in this particular shock, and the monetary sleeve changes little. Together they bring the loss to -21.27%, earning B. Most of the resilience comes from limiting equity exposure; the scenario does not show a protection payoff large enough to offset a severe equity decline.
Data and method
The chart replays today’s portfolio weights through the checker’s weekly adjusted-price history in nominal EUR. Each line starts at 100 on the same date. The S&P 500 path is the checker’s US-equity total-return ETF proxy, including distributions. The portfolio is rebalanced to constant weights on the engine’s weekly grid. It is not an investor’s account history. Fund costs are embedded; tax, inflation and trading costs are excluded. Weekly observations can miss a deeper daily or intraday loss. Recovery is the first weekly observation back at the peak preceding the largest decline, within the displayed window.
The crisis grade uses the separate modelled 40% US-equity shock. This historical replay does not determine or change that grade, and it is not a forecast.
- This portfolio
- Back to the previous peak: 13 November 2020
- S&P 500
- Back to the previous peak: 8 January 2021
Only complete episodes in the captured history, with an S&P 500 drawdown of at least 10%, are eligible. The selected episode has the highest portfolio drawdown relative to the S&P 500 drawdown. This highlights where the portfolio offered the least cushioning among the episodes tested; it is not necessarily its largest absolute loss or the worst crisis since 1998. The table lists every eligible comparison.
| Crisis replay | This portfolio | S&P 500 |
|---|---|---|
| Equity sell-off | -7% | -13.2% |
| Covid-19 | -19.6% | -28.7% |
| The rate reset | -9% | -16.7% |
| Tariff sell-off | -11.1% | -20.6% |
| Replay date | This portfolio | S&P 500 |
|---|---|---|
| 100 | 100 | |
| 101.2 | 101.8 | |
| 101.8 | 103.4 | |
| 102.3 | 103.8 | |
| 100.5 | 101 | |
| 103 | 105.3 | |
| 104.5 | 107.8 | |
| 104.9 | 106.6 | |
| 96.1 | 91.8 | |
| 94.6 | 90.3 | |
| 85.2 | 79.4 | |
| 84.3 | 76.9 | |
| 87.4 | 79.8 | |
| 88.2 | 80.1 | |
| 93.7 | 88.6 | |
| 94.7 | 90.5 | |
| 94.7 | 89.8 | |
| 94.8 | 92.3 | |
| 96.6 | 93.3 | |
| 96 | 90.9 | |
| 96.9 | 93.7 | |
| 97.3 | 94.2 | |
| 99 | 98.6 | |
| 97.3 | 93.9 | |
| 99.7 | 97.4 | |
| 98.4 | 94 | |
| 99.7 | 96.7 | |
| 100.1 | 97.3 | |
| 100.7 | 98.1 | |
| 100.3 | 96.4 | |
| 99.7 | 95.5 | |
| 102.2 | 98.9 | |
| 101.9 | 99.5 | |
| 102.3 | 100.2 | |
| 103.1 | 102.4 | |
| 101.4 | 99.9 | |
| 101.7 | 98.8 | |
| 101.8 | 98.1 | |
| 100.6 | 98.1 | |
| 101.8 | 99.9 | |
| 103.2 | 102.5 | |
| 103.7 | 104.4 | |
| 102.5 | 101.9 | |
| 99.9 | 97.9 | |
| 103.8 | 103.2 | |
| 105.1 | 105.3 | |
| 105.2 | 105.6 | |
| 105.3 | 106.5 | |
| 104.9 | 106.5 | |
| 104.4 | 105.3 | |
| 105.4 | 105.9 | |
| 105.8 | 106.3 | |
| 106 | 106.7 | |
| 107.4 | 109 | |
| 107.3 | 109.4 | |
| 108 | 110.5 | |
| 106.5 | 107.8 | |
| 109.2 | 113.3 | |
| 109.4 | 113.5 | |
| 109.1 | 113.6 | |
| 106.4 | 111.5 | |
| 106.1 | 110.4 | |
| 109.2 | 115.4 | |
| 109.9 | 115.7 | |
| 110.7 | 117.4 | |
| 111.6 | 119.7 | |
| 112.4 | 121.4 | |
| 113.3 | 122.6 | |
| 112.8 | 121.7 | |
| 112.8 | 122.3 | |
| 113.9 | 122.6 | |
| 112.9 | 120.8 | |
| 113.4 | 120.5 | |
| 114.5 | 121.7 | |
| 114.9 | 122.2 | |
| 115.3 | 123.4 | |
| 114.7 | 124.2 | |
| 115.6 | 126.3 |
The simulation propagates asset-class sensitivities from long-term volatility and correlations. It is neither a historical crash replay nor a maximum loss. Gold can fluctuate when liquidity is needed; SGLN’s documentation also describes limited-recourse obligations secured by underlying property. [2]
The engine classifies CSH2 as stable for observed-correlation purposes. That classification is a modelling treatment, not a capital guarantee or evidence that the fund behaves like a guaranteed bank deposit. No current monetary yield is asserted here.
Diversification: separate roles, dominant equities
| Expected classes | World | Gold | Euro money market |
|---|---|---|---|
| World | 1.00 | -0.08 | -0.16 |
| Gold | -0.08 | 1.00 | 0.10 |
| Euro money market | -0.16 | 0.10 | 1.00 |
Fund correlations · past 12 months
| This portfolio | IWDA | SGLN |
|---|---|---|
| IWDA | 1.00 | 0.35 |
| SGLN | 0.35 | 1.00 |
CSH2 · 20%
Stable cash exposure: outside the observed matrix, with no correlation assigned.
The expected asset-class matrix assigns -0.08 to global equities and gold. That weak relationship supports diversification in the model. The observed fund matrix instead shows a positive relationship over its recent weekly window. A long-term class assumption and a realised fund correlation are different evidence.
CSH2, at 20 %, is explicitly classified as a stable cash line and named below the observed matrix. It has no assigned observed correlation. This is not a missing-price-history disclosure, and the expected monetary-class correlations must not be substituted for a measured fund value.
The B depends on the contributions behind the 3 growth sources count. Gold leaves some expected growth above cash after the main equity driver stops. The reserve earns the cash baseline and adds no growth above it, although it can support spending or rebalancing. Equity dependence is therefore reduced, but the growth sources remain uneven: three roles do not contribute equally to independent returns.
IWDA’s physical optimised replication does not mean every index weight equals an actual fund holding. No country or sector percentages are reproduced here. The engine also flags missing economic composition and category classification for opaque sleeves; its growth-source count is not a complete look-through audit. [1]
Points to consider
The overall B reflects strong historical efficiency, low costs and some independent expected growth from gold. The reserve improves liquidity and limits exposed capital, while the B crisis result still contains a large equity loss. Liquidity, gold diversification and explicit crash protection remain separate questions; the overall grade does not establish that all three needs are covered.
The reserve’s purpose
What spending or rebalancing might the monetary sleeve fund? The timing of those uses affects how much accessible capital it provides. Dealing access, spreads and the fund’s terms also matter; its stable classification is not a capital guarantee.
Spending during a decline
Would a loss of -21.27% coincide with a need to sell equities or gold? The scenario leaves a substantial equity loss and does not set a maximum. Gold and the reserve make different contributions, neither of which establishes a guaranteed floor for the portfolio.
Gold’s weight over time
How would changes in gold’s weight affect its intended role alongside the reserve? Restoring a chosen weight involves costs, while leaving it untouched allows the exposure to drift. Its observed relationship with equities and its ETC structure add context beyond recent gains. [2]
Other portfolios
Method and limitations
Measured on 23 October 2026, engine portfolio-score-v10. History covers 22 October 2016 to 22 October 2026. The score labels its forward basis Copio CMA without a vintage; chart metadata identifies Copio Capital Market Assumptions 2026 Q4. Observed correlations use weekly returns over a year ending at the historical price cut-off, with no declared proxies. The monetary line is stable by engine classification and excluded from that matrix. Incomplete underlying history and missing economic composition remain flagged. The Amundi evidence establishes dated identity only; no current rate, replication method or collateral holdings are claimed. Illustrative allocation without personal circumstances or tax.
Estimated decline under a shock of -40% to US equities. Historical returns are annualised in euros, as calculated by the portfolio checker.
How copio analyses portfolios ↗Sources
- iShares Core MSCI World UCITS ETF | September factsheet ↗Reference date:
Retrieved 2026-10-22. Portfolio data 2026-09-30; product characteristics 2026-10-05. Archived PDF and text hashes retained privately.
- iShares Physical Gold ETC | September factsheet ↗Reference date:
Retrieved 2026-10-22. Portfolio data 2026-09-30; product characteristics 2026-10-05. Archived PDF and text hashes retained privately.
- Amundi ETF listings | EUR accumulating share class ↗Reference date:
Retrieved 2026-10-22. Dated listing identity only, archived web extract. No current yield, replication, collateral or capital guarantee inferred.