PortfoliosLab logoPortfoliosLab logo
CIBR.L vs. FSKY.L
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

CIBR.L vs. FSKY.L - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in First Trust Nasdaq Cybersecurity UCITS ETF Class A USD Accumulation (CIBR.L) and First Trust Cloud Computing UCITS ETF Class A USD Accumulation (FSKY.L). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Different Trading Currencies

CIBR.L is traded in USD, while FSKY.L is traded in GBp. To make them comparable, the FSKY.L values have been converted to USD using the latest available exchange rates.

Returns By Period

In the year-to-date period, CIBR.L achieves a 28.36% return, which is significantly higher than FSKY.L's 13.09% return.


CIBR.L

1D
-0.54%
1M
36.15%
YTD
28.36%
6M
26.26%
1Y
25.63%
3Y*
26.43%
5Y*
15.18%
10Y*

FSKY.L

1D
-2.92%
1M
20.30%
YTD
13.09%
6M
13.94%
1Y
27.30%
3Y*
25.42%
5Y*
8.47%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

CIBR.L vs. FSKY.L - Yearly Performance Comparison


2026 (YTD)202520242023202220212020
CIBR.L
First Trust Nasdaq Cybersecurity UCITS ETF Class A USD Accumulation
28.36%7.58%18.96%40.83%-27.53%19.58%35.46%
FSKY.L
First Trust Cloud Computing UCITS ETF Class A USD Accumulation
13.09%8.68%35.53%54.88%-45.71%11.27%34.56%

Correlation

The correlation between CIBR.L and FSKY.L is 0.80, 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

0.80

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

0.84

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

0.86

Correlation (All Time)
Calculated using the full available price history since Jun 3, 2020

0.85

The correlation between CIBR.L and FSKY.L has been stable across timeframes, ranging from 0.80 to 0.86 - a consistent structural relationship.

CIBR.L vs. FSKY.L - Sectors Allocation Comparison


Sectors
CIBR.L
FSKY.L

Technology

95.6%
85.6%

Communication Services

2.6%
10.1%

Industrials

1.8%

-

Basic Materials

-

-

Consumer Cyclical

-

3.9%

Consumer Defensive

-

-

Energy

-

-

Financial Services

-

-

Healthcare

-

0.5%

Real Estate

-

-

Utilities

-

-

Technology

CIBR.L
95.6%
FSKY.L
85.6%

Communication Services

CIBR.L
2.6%
FSKY.L
10.1%

Industrials

CIBR.L
1.8%
FSKY.L

-

Basic Materials

CIBR.L

-

FSKY.L

-

Consumer Cyclical

CIBR.L

-

FSKY.L
3.9%

Consumer Defensive

CIBR.L

-

FSKY.L

-

Energy

CIBR.L

-

FSKY.L

-

Financial Services

CIBR.L

-

FSKY.L

-

Healthcare

CIBR.L

-

FSKY.L
0.5%

Real Estate

CIBR.L

-

FSKY.L

-

Utilities

CIBR.L

-

FSKY.L

-

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

CIBR.L vs. FSKY.L — Risk / Return Rank

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

CIBR.L
CIBR.L Risk / Return Rank: 2626
Overall Rank
CIBR.L Sharpe Ratio Rank: 2828
Sharpe Ratio Rank
CIBR.L Sortino Ratio Rank: 2828
Sortino Ratio Rank
CIBR.L Omega Ratio Rank: 3030
Omega Ratio Rank
CIBR.L Calmar Ratio Rank: 2424
Calmar Ratio Rank
CIBR.L Martin Ratio Rank: 2121
Martin Ratio Rank

FSKY.L
FSKY.L Risk / Return Rank: 2626
Overall Rank
FSKY.L Sharpe Ratio Rank: 2828
Sharpe Ratio Rank
FSKY.L Sortino Ratio Rank: 2828
Sortino Ratio Rank
FSKY.L Omega Ratio Rank: 3030
Omega Ratio Rank
FSKY.L Calmar Ratio Rank: 2222
Calmar Ratio Rank
FSKY.L Martin Ratio Rank: 1919
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.

CIBR.L vs. FSKY.L - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for First Trust Nasdaq Cybersecurity UCITS ETF Class A USD Accumulation (CIBR.L) and First Trust Cloud Computing UCITS ETF Class A USD Accumulation (FSKY.L). 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.


CIBR.LFSKY.LDifference
Sharpe ratioReturn per unit of total volatility

+0.05

Sortino ratioReturn per unit of downside risk

+0.05

Omega ratioGain probability vs. loss probability

1.21

1.19

+0.02

Calmar ratioReturn relative to maximum drawdown

1.10

1.03

+0.07

Martin ratioReturn relative to average drawdown

2.54

2.31

+0.24

CIBR.L vs. FSKY.L - Sharpe Ratio Comparison

The current CIBR.L Sharpe Ratio is 1.02, which is comparable to the FSKY.L Sharpe Ratio of 0.97. The chart below compares the historical Sharpe Ratios of CIBR.L and FSKY.L, 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


CIBR.LFSKY.LDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

1.02

0.97

+0.05

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.63

0.29

+0.34

Sharpe Ratio (All Time)

Calculated using the full available price history

0.76

0.58

+0.18

Drawdowns

CIBR.L vs. FSKY.L - Drawdown Comparison

The maximum CIBR.L drawdown since its inception was -33.69%, smaller than the maximum FSKY.L drawdown of -53.28%. Use the drawdown chart below to compare losses from any high point for CIBR.L and FSKY.L.


Loading charts...

Drawdown Indicators


CIBR.LFSKY.LDifference

Max Drawdown

Largest peak-to-trough decline

-33.69%

-53.28%

+19.59%

Max Drawdown (1Y)

Largest decline over 1 year

-23.23%

-26.50%

+3.27%

Max Drawdown (3Y)

Largest decline over 3 years

-23.42%

-32.18%

+8.76%

Max Drawdown (5Y)

Largest decline over 5 years

-33.69%

-53.28%

+19.59%

Current Drawdown

Current decline from peak

-0.74%

-3.67%

+2.93%

Average Drawdown

Average peak-to-trough decline

-10.62%

-16.90%

+6.28%

Ulcer Index

Depth and duration of drawdowns from previous peaks

10.05%

11.82%

-1.77%

Volatility

CIBR.L vs. FSKY.L - Volatility Comparison

The current volatility for First Trust Nasdaq Cybersecurity UCITS ETF Class A USD Accumulation (CIBR.L) is 11.38%, while First Trust Cloud Computing UCITS ETF Class A USD Accumulation (FSKY.L) has a volatility of 12.12%. This indicates that CIBR.L experiences smaller price fluctuations and is considered to be less risky than FSKY.L based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


Loading charts...

Volatility by Period


CIBR.LFSKY.LDifference

Volatility (1M)

Calculated over the trailing 1-month period

11.38%

12.12%

-0.74%

Volatility (6M)

Calculated over the trailing 6-month period

21.81%

23.49%

-1.68%

Volatility (1Y)

Calculated over the trailing 1-year period

24.92%

28.01%

-3.09%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

24.15%

29.48%

-5.33%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

24.17%

28.51%

-4.34%

CIBR.L vs. FSKY.L - Expense Ratio Comparison

Both CIBR.L and FSKY.L have an expense ratio of 0.60%.


Dividends

CIBR.L vs. FSKY.L - Dividend Comparison

Neither CIBR.L nor FSKY.L has paid dividends to shareholders.


Tickers have no history of dividend payments

Frequently Asked Questions


CIBR.L and FSKY.L have a correlation of 0.80, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

Both ETFs have the same 0.60% expense ratio. The better choice depends on whether you care most about return, fees, risk, or income.

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

Both ETFs track MSCI World/Information Tech NR USD.

Portfolio Optimizer

Find the right allocation for CIBR.L and FSKY.L

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