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IPAY vs. GGTL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

IPAY vs. GGTL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in ETFMG Prime Mobile Payments ETF (IPAY) 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, IPAY achieves a -13.98% return, which is significantly lower than GGTL's 23.84% return.


IPAY

1D
2.55%
1M
-1.05%
YTD
-13.98%
6M
-15.52%
1Y
-24.10%
3Y*
3.07%
5Y*
-8.73%
10Y*
7.04%

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)

IPAY vs. GGTL - Yearly Performance Comparison


2026 (YTD)2025202420232022
IPAY
ETFMG Prime Mobile Payments ETF
-13.98%-9.55%25.88%18.21%-33.19%
GGTL
Gabelli Global Technology Leaders ETF
23.84%19.78%11.07%18.17%-16.10%

Correlation

The correlation between IPAY and GGTL is 0.45, which is low. Their price movements are largely independent, making them effective diversification partners.


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

0.45

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

0.66

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

0.74

Over the past year, the correlation between IPAY and GGTL has dropped to 0.45 - well below their long-term average of 0.74, suggesting their price drivers have been diverging.

IPAY vs. GGTL - Sectors Allocation Comparison


Sectors
IPAY
GGTL

Technology

53.9%
55.5%

Financial Services

41.8%

-

Industrials

4.3%
0.1%

Basic Materials

-

-

Communication Services

-

2.9%

Consumer Cyclical

-

0.9%

Consumer Defensive

-

-

Energy

-

-

Healthcare

-

-

Real Estate

-

-

Utilities

-

-

Technology

IPAY
53.9%
GGTL
55.5%

Financial Services

IPAY
41.8%
GGTL

-

Industrials

IPAY
4.3%
GGTL
0.1%

Basic Materials

IPAY

-

GGTL

-

Communication Services

IPAY

-

GGTL
2.9%

Consumer Cyclical

IPAY

-

GGTL
0.9%

Consumer Defensive

IPAY

-

GGTL

-

Energy

IPAY

-

GGTL

-

Healthcare

IPAY

-

GGTL

-

Real Estate

IPAY

-

GGTL

-

Utilities

IPAY

-

GGTL

-

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Return for Risk

IPAY vs. GGTL — Risk / Return Rank

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

IPAY
IPAY Risk / Return Rank: 22
Overall Rank
IPAY Sharpe Ratio Rank: 11
Sharpe Ratio Rank
IPAY Sortino Ratio Rank: 22
Sortino Ratio Rank
IPAY Omega Ratio Rank: 22
Omega Ratio Rank
IPAY Calmar Ratio Rank: 33
Calmar Ratio Rank
IPAY Martin Ratio Rank: 22
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.

IPAY vs. GGTL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for ETFMG Prime Mobile Payments ETF (IPAY) 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.


IPAYGGTLDifference
Sharpe ratioReturn per unit of total volatility

-3.12

Sortino ratioReturn per unit of downside risk

-4.06

Omega ratioGain probability vs. loss probability

0.84

1.39

-0.55

Calmar ratioReturn relative to maximum drawdown

-0.77

4.44

-5.22

Martin ratioReturn relative to average drawdown

-1.38

15.15

-16.52

IPAY vs. GGTL - Sharpe Ratio Comparison

The current IPAY Sharpe Ratio is -1.02, which is lower than the GGTL Sharpe Ratio of 2.10. The chart below compares the historical Sharpe Ratios of IPAY 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

IPAY vs. GGTL - Drawdown Comparison

The maximum IPAY drawdown since its inception was -51.75%, which is greater than GGTL's maximum drawdown of -23.65%. Use the drawdown chart below to compare losses from any high point for IPAY and GGTL.


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Drawdown Indicators


IPAYGGTLDifference

Max Drawdown

Largest peak-to-trough decline

-51.75%

-23.65%

-28.10%

Max Drawdown (1Y)

Largest decline over 1 year

-31.31%

-9.20%

-22.11%

Max Drawdown (3Y)

Largest decline over 3 years

-32.74%

-21.46%

-11.28%

Max Drawdown (5Y)

Largest decline over 5 years

-51.49%

Max Drawdown (10Y)

Largest decline over 10 years

-51.75%

Current Drawdown

Current decline from peak

-37.72%

-4.64%

-33.08%

Average Drawdown

Average peak-to-trough decline

-16.78%

-7.40%

-9.38%

Ulcer Index

Depth and duration of drawdowns from previous peaks

17.54%

2.69%

+14.85%

Volatility

IPAY vs. GGTL - Volatility Comparison

The current volatility for ETFMG Prime Mobile Payments ETF (IPAY) is 8.33%, while Gabelli Global Technology Leaders ETF (GGTL) has a volatility of 11.18%. This indicates that IPAY experiences smaller price fluctuations and is considered to be less risky 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


IPAYGGTLDifference

Volatility (1M)

Calculated over the trailing 1-month period

8.33%

11.18%

-2.85%

Volatility (6M)

Calculated over the trailing 6-month period

18.96%

16.84%

+2.12%

Volatility (1Y)

Calculated over the trailing 1-year period

23.99%

19.45%

+4.54%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

26.17%

18.19%

+7.98%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

25.40%

18.19%

+7.21%

IPAY vs. GGTL - Expense Ratio Comparison

IPAY has a 0.75% expense ratio, which is lower than GGTL's 0.90% expense ratio.


Dividends

IPAY vs. GGTL - Dividend Comparison

IPAY's dividend yield for the trailing twelve months is around 0.92%, more than GGTL's 0.84% yield.


PositionTTM2025202420232022
GGTL
Gabelli Global Technology Leaders ETF
0.84%1.04%0.75%0.84%0.78%
IPAY
ETFMG Prime Mobile Payments ETF
0.92%0.79%0.77%0.00%0.00%

Frequently Asked Questions


IPAY and GGTL have a correlation of 0.45, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

GGTL has higher volatility (11.18%) compared to IPAY (8.33%). In terms of maximum drawdown, IPAY dropped -51.75% vs GGTL's -23.65%.

On 3-year performance, GGTL leads with 21.46% vs 3.07% for IPAY. On fees, IPAY is cheaper at 0.75% per year. On volatility, IPAY has been the lower-risk option at 8.33%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, GGTL has performed better with a 21.46% return vs 3.07%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

IPAY is cheaper with a 0.75% expense ratio, compared with 0.90% for GGTL.

IPAY has the higher dividend yield at 0.92%, compared with 0.84% for GGTL.

They also come from different issuers: ETFMG and Gabelli. Their fees differ too: 0.75% for IPAY and 0.90% for GGTL.

GGTL currently has the higher Sharpe Ratio (2.10 vs -1.02), 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 IPAY 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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