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EMOT vs. CIBR
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

EMOT vs. CIBR - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in First Trust S&P 500 Economic Moat ETF (EMOT) and First Trust NASDAQ Cybersecurity ETF (CIBR). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, EMOT achieves a 9.61% return, which is significantly lower than CIBR's 17.18% return.


EMOT

1D
-1.12%
1M
-0.06%
YTD
9.61%
6M
8.78%
1Y
18.68%
3Y*
5Y*
10Y*

CIBR

1D
-1.14%
1M
-0.83%
YTD
17.18%
6M
14.04%
1Y
16.47%
3Y*
24.43%
5Y*
12.73%
10Y*
17.84%
*Multi-year figures are annualized to reflect compound growth (CAGR)

EMOT vs. CIBR - Yearly Performance Comparison


2026 (YTD)20252024
EMOT
First Trust S&P 500 Economic Moat ETF
9.61%14.17%5.53%
CIBR
First Trust NASDAQ Cybersecurity ETF
17.18%13.06%15.80%

Correlation

The correlation between EMOT and CIBR is 0.50, which is low. Their price movements are largely independent, making them effective diversification partners.


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

0.50

Correlation (All Time)
Calculated using the full available price history since Jun 27, 2024

0.61

The correlation between EMOT and CIBR shifts across timeframes, from 0.50 (1 year) to 0.61 (all time), reflecting how their relationship changes across market environments.

EMOT vs. CIBR - Sectors Allocation Comparison


Sectors
EMOT
CIBR

Technology

41.6%
95.4%

Consumer Cyclical

18.0%

-

Consumer Defensive

15.9%

-

Healthcare

9.4%

-

Financial Services

5.1%

-

Communication Services

3.9%
1.9%

Industrials

3.6%
2.7%

Energy

2.4%

-

Basic Materials

-

-

Real Estate

-

-

Utilities

-

-

Technology

EMOT
41.6%
CIBR
95.4%

Consumer Cyclical

EMOT
18.0%
CIBR

-

Consumer Defensive

EMOT
15.9%
CIBR

-

Healthcare

EMOT
9.4%
CIBR

-

Financial Services

EMOT
5.1%
CIBR

-

Communication Services

EMOT
3.9%
CIBR
1.9%

Industrials

EMOT
3.6%
CIBR
2.7%

Energy

EMOT
2.4%
CIBR

-

Basic Materials

EMOT

-

CIBR

-

Real Estate

EMOT

-

CIBR

-

Utilities

EMOT

-

CIBR

-

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Return for Risk

EMOT vs. CIBR — Risk / Return Rank

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

EMOT
EMOT Risk / Return Rank: 4646
Overall Rank
EMOT Sharpe Ratio Rank: 4848
Sharpe Ratio Rank
EMOT Sortino Ratio Rank: 4747
Sortino Ratio Rank
EMOT Omega Ratio Rank: 4545
Omega Ratio Rank
EMOT Calmar Ratio Rank: 4343
Calmar Ratio Rank
EMOT Martin Ratio Rank: 4949
Martin Ratio Rank

CIBR
CIBR Risk / Return Rank: 1818
Overall Rank
CIBR Sharpe Ratio Rank: 1919
Sharpe Ratio Rank
CIBR Sortino Ratio Rank: 2020
Sortino Ratio Rank
CIBR Omega Ratio Rank: 1919
Omega Ratio Rank
CIBR Calmar Ratio Rank: 1818
Calmar Ratio Rank
CIBR Martin Ratio Rank: 1717
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.

EMOT vs. CIBR - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for First Trust S&P 500 Economic Moat ETF (EMOT) 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.

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.


EMOTCIBRDifference
Sharpe ratioReturn per unit of total volatility

+0.95

Sortino ratioReturn per unit of downside risk

+1.22

Omega ratioGain probability vs. loss probability

1.28

1.13

+0.15

Calmar ratioReturn relative to maximum drawdown

2.04

0.75

+1.29

Martin ratioReturn relative to average drawdown

8.00

1.74

+6.26

EMOT vs. CIBR - Sharpe Ratio Comparison

The current EMOT Sharpe Ratio is 1.60, which is higher than the CIBR Sharpe Ratio of 0.66. The chart below compares the historical Sharpe Ratios of EMOT and CIBR, 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

EMOT vs. CIBR - Drawdown Comparison

The maximum EMOT drawdown since its inception was -16.41%, smaller than the maximum CIBR drawdown of -33.89%. Use the drawdown chart below to compare losses from any high point for EMOT and CIBR.


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Drawdown Indicators


EMOTCIBRDifference

Max Drawdown

Largest peak-to-trough decline

-16.41%

-33.89%

+17.48%

Max Drawdown (1Y)

Largest decline over 1 year

-9.19%

-21.99%

+12.80%

Max Drawdown (3Y)

Largest decline over 3 years

-21.99%

Max Drawdown (5Y)

Largest decline over 5 years

-33.89%

Max Drawdown (10Y)

Largest decline over 10 years

-33.89%

Current Drawdown

Current decline from peak

-2.28%

-11.39%

+9.11%

Average Drawdown

Average peak-to-trough decline

-2.06%

-8.66%

+6.60%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.34%

9.49%

-7.15%

Volatility

EMOT vs. CIBR - Volatility Comparison

The current volatility for First Trust S&P 500 Economic Moat ETF (EMOT) is 4.01%, while First Trust NASDAQ Cybersecurity ETF (CIBR) has a volatility of 12.02%. This indicates that EMOT 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


EMOTCIBRDifference

Volatility (1M)

Calculated over the trailing 1-month period

4.01%

12.02%

-8.01%

Volatility (6M)

Calculated over the trailing 6-month period

9.00%

21.57%

-12.57%

Volatility (1Y)

Calculated over the trailing 1-year period

11.73%

25.25%

-13.52%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

14.95%

25.07%

-10.12%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

14.95%

23.66%

-8.71%

EMOT vs. CIBR - Expense Ratio Comparison

Both EMOT and CIBR have an expense ratio of 0.60%.


Dividends

EMOT vs. CIBR - Dividend Comparison

EMOT's dividend yield for the trailing twelve months is around 1.08%, more than CIBR's 0.49% yield.


PositionTTM20252024202320222021202020192018201720162015
CIBR
First Trust NASDAQ Cybersecurity ETF
0.49%0.42%0.29%0.42%0.31%0.59%1.10%0.23%0.23%0.10%0.77%0.58%
EMOT
First Trust S&P 500 Economic Moat ETF
1.08%0.84%0.37%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


EMOT and CIBR have a correlation of 0.50, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

CIBR has higher volatility (12.02%) compared to EMOT (4.01%). In terms of maximum drawdown, EMOT dropped -16.41% vs CIBR's -33.89%.

On 1-year performance, EMOT leads with 18.68% vs 16.47% for CIBR. Both ETFs have the same 0.60% expense ratio. On volatility, EMOT has been the lower-risk option at 4.01%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, EMOT has performed better with a 18.68% return vs 16.47%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

EMOT and CIBR have the same expense ratio: 0.60% per year.

EMOT has the higher dividend yield at 1.08%, compared with 0.49% for CIBR.

EMOT is categorized as S&P 500, while CIBR is Cybersecurity. EMOT tracks S&P 500 Economic Moat Index, while CIBR tracks Nasdaq CTA Cybersecurity Index.

EMOT currently has the higher Sharpe Ratio (1.60 vs 0.66), 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 EMOT and CIBR

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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