FGM vs. CIBR
FGM (First Trust Germany AlphaDEX Fund) and CIBR (First Trust NASDAQ Cybersecurity ETF) are both exchange-traded funds - FGM is a Europe Equities fund tracking the NASDAQ AlphaDEX Germany Index, while CIBR is a Technology Equities fund tracking the Nasdaq CTA Cybersecurity Index. Both are passively managed. Over the past 10 years, FGM returned 8.09%/yr vs 18.49%/yr for CIBR. At a 0.46 correlation, their price movements are largely independent. FGM charges 0.80%/yr vs 0.60%/yr for CIBR.
Performance
FGM vs. CIBR - Performance Comparison
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Returns By Period
In the year-to-date period, FGM achieves a 4.13% return, which is significantly lower than CIBR's 28.52% return. Over the past 10 years, FGM has underperformed CIBR with an annualized return of 8.09%, while CIBR has yielded a comparatively higher 18.49% annualized return.
FGM
- 1D
- -1.22%
- 1M
- 2.88%
- YTD
- 4.13%
- 6M
- 9.75%
- 1Y
- 19.41%
- 3Y*
- 22.05%
- 5Y*
- 4.19%
- 10Y*
- 8.09%
CIBR
- 1D
- -2.81%
- 1M
- 31.43%
- YTD
- 28.52%
- 6M
- 24.03%
- 1Y
- 25.78%
- 3Y*
- 28.32%
- 5Y*
- 16.28%
- 10Y*
- 18.49%
FGM vs. CIBR - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
FGM First Trust Germany AlphaDEX Fund | 4.13% | 63.60% | 1.36% | 13.28% | -30.46% | 6.10% | 17.26% | 20.77% | -25.14% | 44.28% |
CIBR First Trust NASDAQ Cybersecurity ETF | 28.52% | 13.06% | 18.21% | 39.71% | -26.46% | 19.67% | 50.53% | 28.52% | 1.47% | 18.61% |
Correlation
The correlation between FGM and CIBR is 0.31, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.31 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.39 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.39 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.44 |
Correlation (All Time) Calculated using the full available price history since Jul 8, 2015 | 0.46 |
The correlation between FGM and CIBR shifts across timeframes, from 0.31 (1 year) to 0.46 (all time), reflecting how their relationship changes across market environments.
FGM vs. CIBR - Sectors Allocation Comparison
Sectors
FGM
CIBR
Industrials
Consumer Cyclical
-
Real Estate
-
Basic Materials
-
Financial Services
-
Healthcare
-
Communication Services
Utilities
-
Consumer Defensive
-
Energy
-
-
Technology
-
Industrials
FGM
CIBR
Consumer Cyclical
FGM
CIBR
-
Real Estate
FGM
CIBR
-
Basic Materials
FGM
CIBR
-
Financial Services
FGM
CIBR
-
Healthcare
FGM
CIBR
-
Communication Services
FGM
CIBR
Utilities
FGM
CIBR
-
Consumer Defensive
FGM
CIBR
-
Energy
FGM
-
CIBR
-
Technology
FGM
-
CIBR
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Return for Risk
FGM vs. CIBR — Risk / Return Rank
FGM
CIBR
FGM vs. CIBR - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for First Trust Germany AlphaDEX Fund (FGM) and First Trust NASDAQ Cybersecurity ETF (CIBR). 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.
| FGM | CIBR | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 0.95 | 1.06 | -0.11 |
Sortino ratioReturn per unit of downside risk | 1.42 | 1.56 | -0.14 |
Omega ratioGain probability vs. loss probability | 1.18 | 1.20 | -0.02 |
Calmar ratioReturn relative to maximum drawdown | 1.10 | 1.18 | -0.08 |
Martin ratioReturn relative to average drawdown | 3.48 | 2.79 | +0.69 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
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Sharpe Ratios by Period
| FGM | CIBR | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 0.95 | 1.06 | -0.11 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | 0.17 | 0.66 | -0.48 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | 0.35 | 0.79 | -0.43 |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.34 | 0.67 | -0.32 |
Drawdowns
FGM vs. CIBR - Drawdown Comparison
The maximum FGM drawdown since its inception was -51.58%, which is greater than CIBR's maximum drawdown of -33.89%. Use the drawdown chart below to compare losses from any high point for FGM and CIBR.
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Drawdown Indicators
| FGM | CIBR | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -51.58% | -33.89% | -17.69% |
Max Drawdown (1Y)Largest decline over 1 year | -17.76% | -21.99% | +4.23% |
Max Drawdown (3Y)Largest decline over 3 years | -17.93% | -21.99% | +4.06% |
Max Drawdown (5Y)Largest decline over 5 years | -51.07% | -33.89% | -17.18% |
Max Drawdown (10Y)Largest decline over 10 years | -51.58% | -33.89% | -17.69% |
Current DrawdownCurrent decline from peak | -7.43% | -2.81% | -4.62% |
Average DrawdownAverage peak-to-trough decline | -14.74% | -8.66% | -6.08% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 5.59% | 9.25% | -3.66% |
Volatility
FGM vs. CIBR - Volatility Comparison
The current volatility for First Trust Germany AlphaDEX Fund (FGM) is 7.14%, while First Trust NASDAQ Cybersecurity ETF (CIBR) has a volatility of 10.90%. This indicates that FGM experiences smaller price fluctuations and is considered to be less risky than CIBR based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| FGM | CIBR | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 7.14% | 10.90% | -3.76% |
Volatility (6M)Calculated over the trailing 6-month period | 17.09% | 20.90% | -3.81% |
Volatility (1Y)Calculated over the trailing 1-year period | 20.51% | 24.50% | -3.99% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 24.48% | 24.95% | -0.47% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 23.11% | 23.60% | -0.49% |
FGM vs. CIBR - Expense Ratio Comparison
FGM has a 0.80% expense ratio, which is higher than CIBR's 0.60% expense ratio.
Dividends
FGM vs. CIBR - Dividend Comparison
FGM's dividend yield for the trailing twelve months is around 0.64%, more than CIBR's 0.45% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
CIBR First Trust NASDAQ Cybersecurity ETF | 0.45% | 0.42% | 0.29% | 0.42% | 0.31% | 0.59% | 1.10% | 0.23% | 0.23% | 0.10% | 0.77% | 0.58% |
FGM First Trust Germany AlphaDEX Fund | 0.64% | 0.66% | 2.56% | 2.82% | 5.44% | 1.43% | 1.33% | 2.30% | 2.18% | 2.11% | 1.33% | 1.13% |
Frequently Asked Questions
FGM and CIBR have a correlation of 0.31, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
CIBR has higher volatility (10.90%) compared to FGM (7.14%). In terms of maximum drawdown, FGM dropped -51.58% vs CIBR's -33.89%.
On 10-year performance, CIBR leads with 18.49% vs 8.09% for FGM. On fees, CIBR is cheaper at 0.60% per year. On volatility, FGM has been the lower-risk option at 7.14%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, CIBR has performed better with a 18.49% return vs 8.09%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
CIBR is cheaper with a 0.60% expense ratio, compared with 0.80% for FGM.
FGM has the higher dividend yield at 0.64%, compared with 0.45% for CIBR.
FGM is categorized as Europe Equities, while CIBR is Technology Equities. FGM tracks NASDAQ AlphaDEX Germany Index, while CIBR tracks Nasdaq CTA Cybersecurity Index. Their fees differ too: 0.80% for FGM and 0.60% for CIBR.
CIBR currently has the higher Sharpe Ratio (1.06 vs 0.95), 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.
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