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MAKX vs. GGTL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

MAKX vs. GGTL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in ProShares S&P Kensho Smart Factories ETF (MAKX) and Gabelli Global Technology Leaders ETF (GGTL). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, MAKX achieves a 39.76% return, which is significantly higher than GGTL's 23.84% return.


MAKX

1D
-4.47%
1M
1.15%
YTD
39.76%
6M
37.20%
1Y
60.76%
3Y*
26.34%
5Y*
10Y*

GGTL

1D
-4.64%
1M
2.58%
YTD
23.84%
6M
23.84%
1Y
40.67%
3Y*
21.46%
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

MAKX vs. GGTL - Yearly Performance Comparison


2026 (YTD)2025202420232022
MAKX
ProShares S&P Kensho Smart Factories ETF
39.76%21.63%8.27%26.03%-26.71%
GGTL
Gabelli Global Technology Leaders ETF
23.84%19.78%11.07%18.17%-16.10%

Correlation

The correlation between MAKX and GGTL is 0.75, 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

0.75

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

0.80

Correlation (All Time)
Calculated using the full available price history since Jan 5, 2022

0.84

The correlation between MAKX and GGTL has been stable across timeframes, ranging from 0.75 to 0.84 - a consistent structural relationship.

MAKX vs. GGTL - Sectors Allocation Comparison


Sectors
MAKX
GGTL

Technology

69.2%
55.5%

Industrials

20.0%
0.1%

Communication Services

8.4%
2.9%

Basic Materials

2.4%

-

Consumer Cyclical

-

0.9%

Consumer Defensive

-

-

Energy

-

-

Financial Services

-

-

Healthcare

-

-

Real Estate

-

-

Utilities

-

-

Technology

MAKX
69.2%
GGTL
55.5%

Industrials

MAKX
20.0%
GGTL
0.1%

Communication Services

MAKX
8.4%
GGTL
2.9%

Basic Materials

MAKX
2.4%
GGTL

-

Consumer Cyclical

MAKX

-

GGTL
0.9%

Consumer Defensive

MAKX

-

GGTL

-

Energy

MAKX

-

GGTL

-

Financial Services

MAKX

-

GGTL

-

Healthcare

MAKX

-

GGTL

-

Real Estate

MAKX

-

GGTL

-

Utilities

MAKX

-

GGTL

-

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Return for Risk

MAKX vs. GGTL — Risk / Return Rank

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

MAKX
MAKX Risk / Return Rank: 6666
Overall Rank
MAKX Sharpe Ratio Rank: 6767
Sharpe Ratio Rank
MAKX Sortino Ratio Rank: 5959
Sortino Ratio Rank
MAKX Omega Ratio Rank: 5757
Omega Ratio Rank
MAKX Calmar Ratio Rank: 8080
Calmar Ratio Rank
MAKX Martin Ratio Rank: 6666
Martin Ratio Rank

GGTL
GGTL Risk / Return Rank: 7676
Overall Rank
GGTL Sharpe Ratio Rank: 7373
Sharpe Ratio Rank
GGTL Sortino Ratio Rank: 6767
Sortino Ratio Rank
GGTL Omega Ratio Rank: 7373
Omega Ratio Rank
GGTL Calmar Ratio Rank: 8787
Calmar Ratio Rank
GGTL Martin Ratio Rank: 8383
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.

MAKX vs. GGTL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for ProShares S&P Kensho Smart Factories ETF (MAKX) and Gabelli Global Technology Leaders ETF (GGTL). 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.

Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.


MAKXGGTLDifference
Sharpe ratioReturn per unit of total volatility

-0.10

Sortino ratioReturn per unit of downside risk

-0.17

Omega ratioGain probability vs. loss probability

1.32

1.39

-0.06

Calmar ratioReturn relative to maximum drawdown

3.80

4.44

-0.64

Martin ratioReturn relative to average drawdown

11.13

15.15

-4.01

MAKX vs. GGTL - Sharpe Ratio Comparison

The current MAKX Sharpe Ratio is 2.00, which is comparable to the GGTL Sharpe Ratio of 2.10. The chart below compares the historical Sharpe Ratios of MAKX and GGTL, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Drawdowns

MAKX vs. GGTL - Drawdown Comparison

The maximum MAKX drawdown since its inception was -40.27%, which is greater than GGTL's maximum drawdown of -23.65%. Use the drawdown chart below to compare losses from any high point for MAKX and GGTL.


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Drawdown Indicators


MAKXGGTLDifference

Max Drawdown

Largest peak-to-trough decline

-40.27%

-23.65%

-16.62%

Max Drawdown (1Y)

Largest decline over 1 year

-16.05%

-9.20%

-6.85%

Max Drawdown (3Y)

Largest decline over 3 years

-29.76%

-21.46%

-8.30%

Current Drawdown

Current decline from peak

-6.63%

-4.64%

-1.99%

Average Drawdown

Average peak-to-trough decline

-16.47%

-7.40%

-9.07%

Ulcer Index

Depth and duration of drawdowns from previous peaks

5.47%

2.69%

+2.78%

Volatility

MAKX vs. GGTL - Volatility Comparison

ProShares S&P Kensho Smart Factories ETF (MAKX) has a higher volatility of 13.89% compared to Gabelli Global Technology Leaders ETF (GGTL) at 11.18%. This indicates that MAKX's price experiences larger fluctuations and is considered to be riskier than GGTL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


MAKXGGTLDifference

Volatility (1M)

Calculated over the trailing 1-month period

13.89%

11.18%

+2.71%

Volatility (6M)

Calculated over the trailing 6-month period

22.65%

16.84%

+5.81%

Volatility (1Y)

Calculated over the trailing 1-year period

30.62%

19.45%

+11.17%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

28.52%

18.19%

+10.33%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

28.52%

18.19%

+10.33%

MAKX vs. GGTL - Expense Ratio Comparison

MAKX has a 0.58% expense ratio, which is lower than GGTL's 0.90% expense ratio.


Dividends

MAKX vs. GGTL - Dividend Comparison

MAKX's dividend yield for the trailing twelve months is around 0.11%, less than GGTL's 0.84% yield.


PositionTTM2025202420232022
GGTL
Gabelli Global Technology Leaders ETF
0.84%1.04%0.75%0.84%0.78%
MAKX
ProShares S&P Kensho Smart Factories ETF
0.11%0.15%0.24%0.52%0.31%

Frequently Asked Questions


MAKX and GGTL have a correlation of 0.75, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

MAKX has higher volatility (13.89%) compared to GGTL (11.18%). In terms of maximum drawdown, MAKX dropped -40.27% vs GGTL's -23.65%.

On 3-year performance, MAKX leads with 26.34% vs 21.46% for GGTL. On fees, MAKX is cheaper at 0.58% per year. On volatility, GGTL has been the lower-risk option at 11.18%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, MAKX has performed better with a 26.34% return vs 21.46%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

MAKX is cheaper with a 0.58% expense ratio, compared with 0.90% for GGTL.

GGTL has the higher dividend yield at 0.84%, compared with 0.11% for MAKX.

They also come from different issuers: ProShares and Gabelli. Their fees differ too: 0.58% for MAKX and 0.90% for GGTL.

GGTL currently has the higher Sharpe Ratio (2.10 vs 2.00), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.

Portfolio Optimizer

Find the right allocation for MAKX and GGTL

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

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