PortfoliosLab logoPortfoliosLab logo
GACA.DE vs. MTUM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

GACA.DE vs. MTUM - Performance Comparison

The chart below illustrates the hypothetical performance of a €10,000 investment in Goldman Sachs ActiveBeta US Large Cap Equity UCITS ETF CLASS USD (Acc.) (GACA.DE) and iShares MSCI USA Momentum Factor ETF (MTUM). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Different Trading Currencies

GACA.DE is traded in EUR, while MTUM is traded in USD. To make them comparable, the MTUM values have been converted to EUR using the latest available exchange rates.

Returns By Period

In the year-to-date period, GACA.DE achieves a 10.44% return, which is significantly lower than MTUM's 24.95% return.


GACA.DE

1D
-0.16%
1M
5.10%
YTD
10.44%
6M
10.26%
1Y
20.78%
3Y*
17.51%
5Y*
13.63%
10Y*

MTUM

1D
-5.20%
1M
4.46%
YTD
24.95%
6M
22.95%
1Y
32.62%
3Y*
28.49%
5Y*
14.80%
10Y*
16.30%
*Multi-year figures are annualized to reflect compound growth (CAGR)

GACA.DE vs. MTUM - Yearly Performance Comparison


2026 (YTD)2025202420232022202120202019
GACA.DE
Goldman Sachs ActiveBeta US Large Cap Equity UCITS ETF CLASS USD (Acc.)
10.44%3.94%29.59%21.02%-14.66%38.66%7.33%8.54%
MTUM
iShares MSCI USA Momentum Factor ETF
24.95%7.65%41.66%5.87%-13.20%21.84%19.16%6.01%

Correlation

The correlation between GACA.DE and MTUM is 0.58, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.58

Correlation (3Y)
Calculated over the trailing 3-year period

0.54

Correlation (5Y)
Calculated over the trailing 5-year period

0.50

Correlation (All Time)
Calculated using the full available price history since Oct 9, 2019

0.50

The correlation between GACA.DE and MTUM has been stable across timeframes, ranging from 0.50 to 0.58 - a consistent structural relationship.

Compare stocks, funds, or ETFs

Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.


Return for Risk

GACA.DE vs. MTUM — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

GACA.DE
GACA.DE Risk / Return Rank: 4747
Overall Rank
GACA.DE Sharpe Ratio Rank: 4646
Sharpe Ratio Rank
GACA.DE Sortino Ratio Rank: 4646
Sortino Ratio Rank
GACA.DE Omega Ratio Rank: 4747
Omega Ratio Rank
GACA.DE Calmar Ratio Rank: 4848
Calmar Ratio Rank
GACA.DE Martin Ratio Rank: 4949
Martin Ratio Rank

MTUM
MTUM Risk / Return Rank: 5454
Overall Rank
MTUM Sharpe Ratio Rank: 5050
Sharpe Ratio Rank
MTUM Sortino Ratio Rank: 4747
Sortino Ratio Rank
MTUM Omega Ratio Rank: 5151
Omega Ratio Rank
MTUM Calmar Ratio Rank: 6060
Calmar Ratio Rank
MTUM Martin Ratio Rank: 6464
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

GACA.DE vs. MTUM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Goldman Sachs ActiveBeta US Large Cap Equity UCITS ETF CLASS USD (Acc.) (GACA.DE) and iShares MSCI USA Momentum Factor ETF (MTUM). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.


GACA.DEMTUMDifference
Sharpe ratioReturn per unit of total volatility

-0.09

Sortino ratioReturn per unit of downside risk

+0.03

Omega ratioGain probability vs. loss probability

1.29

1.31

-0.01

Calmar ratioReturn relative to maximum drawdown

2.32

3.44

-1.12

Martin ratioReturn relative to average drawdown

8.09

11.66

-3.58

GACA.DE vs. MTUM - Sharpe Ratio Comparison

The current GACA.DE Sharpe Ratio is 1.60, which is comparable to the MTUM Sharpe Ratio of 1.69. The chart below compares the historical Sharpe Ratios of GACA.DE and MTUM, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


Loading charts...

Sharpe Ratios by Period


GACA.DEMTUMDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

1.60

1.69

-0.09

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.87

0.72

+0.16

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.76

Sharpe Ratio (All Time)

Calculated using the full available price history

0.84

0.83

+0.02

Drawdowns

GACA.DE vs. MTUM - Drawdown Comparison

The maximum GACA.DE drawdown since its inception was -33.50%, roughly equal to the maximum MTUM drawdown of -33.58%. Use the drawdown chart below to compare losses from any high point for GACA.DE and MTUM.


Loading charts...

Drawdown Indicators


GACA.DEMTUMDifference

Max Drawdown

Largest peak-to-trough decline

-33.50%

-33.58%

+0.08%

Max Drawdown (1Y)

Largest decline over 1 year

-8.95%

-9.54%

+0.59%

Max Drawdown (3Y)

Largest decline over 3 years

-23.68%

-24.93%

+1.25%

Max Drawdown (5Y)

Largest decline over 5 years

-23.68%

-25.86%

+2.18%

Max Drawdown (10Y)

Largest decline over 10 years

-33.58%

Current Drawdown

Current decline from peak

-0.33%

-6.36%

+6.03%

Average Drawdown

Average peak-to-trough decline

-5.08%

-5.82%

+0.74%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.57%

2.80%

-0.23%

Volatility

GACA.DE vs. MTUM - Volatility Comparison

The current volatility for Goldman Sachs ActiveBeta US Large Cap Equity UCITS ETF CLASS USD (Acc.) (GACA.DE) is 3.46%, while iShares MSCI USA Momentum Factor ETF (MTUM) has a volatility of 8.98%. This indicates that GACA.DE experiences smaller price fluctuations and is considered to be less risky than MTUM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


Loading charts...

Volatility by Period


GACA.DEMTUMDifference

Volatility (1M)

Calculated over the trailing 1-month period

3.46%

8.98%

-5.52%

Volatility (6M)

Calculated over the trailing 6-month period

8.82%

16.50%

-7.68%

Volatility (1Y)

Calculated over the trailing 1-year period

13.00%

19.46%

-6.46%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

15.42%

20.67%

-5.25%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

17.22%

21.52%

-4.30%

GACA.DE vs. MTUM - Expense Ratio Comparison

GACA.DE has a 0.14% expense ratio, which is lower than MTUM's 0.15% expense ratio. Despite the difference, both funds are considered low-cost compared to the broader market, where average expense ratios usually range from 0.3% to 0.9%.


Dividends

GACA.DE vs. MTUM - Dividend Comparison

GACA.DE has not paid dividends to shareholders, while MTUM's dividend yield for the trailing twelve months is around 0.64%.


PositionTTM20252024202320222021202020192018201720162015
GACA.DE
Goldman Sachs ActiveBeta US Large Cap Equity UCITS ETF CLASS USD (Acc.)
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
MTUM
iShares MSCI USA Momentum Factor ETF
0.64%0.91%0.75%1.35%1.80%0.55%0.83%1.48%1.27%1.02%1.43%1.12%

Frequently Asked Questions


GACA.DE and MTUM have a correlation of 0.58, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, GACA.DE is cheaper at 0.14% per year. The better choice depends on whether you care most about return, fees, risk, or income.

GACA.DE is cheaper with a 0.14% expense ratio, compared with 0.15% for MTUM.

GACA.DE is categorized as Large Cap Blend Equities, while MTUM is Momentum. GACA.DE tracks Goldman Sachs ActiveBeta US Large Cap Equity, while MTUM tracks MSCI USA Momentum SR Variant Index. They also come from different issuers: Goldman Sachs and iShares. Their fees differ too: 0.14% for GACA.DE and 0.15% for MTUM.

Portfolio Optimizer

Find the right allocation for GACA.DE and MTUM

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

Open Portfolio Optimizer