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KBWP vs. FDIQ
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

KBWP vs. FDIQ - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Invesco KBW Property & Casualty Insurance ETF (KBWP) and Invesco Bloomberg Financial Data Providers ETF (FDIQ). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, KBWP achieves a 7.40% return, which is significantly lower than FDIQ's 16.69% return. Over the past 10 years, KBWP has outperformed FDIQ with an annualized return of 12.93%, while FDIQ has yielded a comparatively lower 8.54% annualized return.


KBWP

1D
-0.46%
1M
0.93%
6M
10.54%
YTD
7.40%
1Y
18.27%
3Y*
19.15%
5Y*
14.28%
10Y*
12.93%
ALL TIME*
13.72%

FDIQ

1D
-0.93%
1M
5.45%
6M
8.69%
YTD
16.69%
1Y
29.24%
3Y*
15.17%
5Y*
7.52%
10Y*
8.54%
ALL TIME*
10.48%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$225.05K$183.72K$189.48K
$2.91M$3.13M$2.04M

KBWP vs. FDIQ - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
KBWP
Invesco KBW Property & Casualty Insurance ETF
7.40%11.49%30.45%7.09%10.16%20.61%-2.05%28.67%-2.76%8.86%
FDIQ
Invesco Bloomberg Financial Data Providers ETF
16.69%6.32%12.76%-0.84%-7.23%36.05%-8.95%23.57%-18.31%1.81%

Correlation

The correlation between KBWP and FDIQ is 0.46, which is low. Their historical price movements had little consistent relationship.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.46

Correlation (3Y)
Balances recent behavior with more history.

0.44

Correlation (5Y)
Shows whether the relationship held over a longer period.

0.54

Correlation (10Y)
Provides a long-term view across more market conditions.

0.58

Correlation (All Time)
Calculated using the full available price history since Nov 1, 2011

0.54

The correlation between KBWP and FDIQ shifts across timeframes, from 0.44 (3 years) to 0.58 (10 years), reflecting how their relationship changes across market environments.

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Return for Risk

KBWP vs. FDIQ — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

KBWP
KBWP Risk / Return Rank: 4141
Overall Rank
KBWP Sharpe Ratio Rank: 4040
Sharpe Ratio Rank
KBWP Sortino Ratio Rank: 3939
Sortino Ratio Rank
KBWP Omega Ratio Rank: 3838
Omega Ratio Rank
KBWP Calmar Ratio Rank: 5151
Calmar Ratio Rank
KBWP Martin Ratio Rank: 3939
Martin Ratio Rank

FDIQ
FDIQ Risk / Return Rank: 4949
Overall Rank
FDIQ Sharpe Ratio Rank: 4848
Sharpe Ratio Rank
FDIQ Sortino Ratio Rank: 4949
Sortino Ratio Rank
FDIQ Omega Ratio Rank: 5050
Omega Ratio Rank
FDIQ Calmar Ratio Rank: 5252
Calmar Ratio Rank
FDIQ Martin Ratio Rank: 4545
Martin Ratio Rank
The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

KBWP vs. FDIQ - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Invesco KBW Property & Casualty Insurance ETF (KBWP) and Invesco Bloomberg Financial Data Providers ETF (FDIQ). 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.


KBWPFDIQDifference
Sharpe ratioReturn per unit of total volatility

-0.22

Sortino ratioReturn per unit of downside risk

-0.33

Omega ratioGain probability vs. loss probability

1.18

1.23

-0.05

Calmar ratioReturn relative to maximum drawdown

1.83

1.86

-0.03

Martin ratioReturn relative to average drawdown

4.15

5.18

-1.03

KBWP vs. FDIQ - Sharpe Ratio Comparison

The current KBWP Sharpe Ratio is 0.98, which is comparable to the FDIQ Sharpe Ratio of 1.20. The chart below compares the historical Sharpe Ratios of KBWP and FDIQ, 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

KBWP vs. FDIQ - Drawdown Comparison

The maximum KBWP drawdown since its inception was -39.76%, smaller than the maximum FDIQ drawdown of -52.86%. Use the drawdown chart below to compare losses from any high point for KBWP and FDIQ.


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Drawdown Indicators


KBWPFDIQDifference

Max Drawdown

Largest peak-to-trough decline

-39.76%

-52.86%

+13.10%

Max Drawdown (1Y)

Largest decline over 1 year

-9.56%

-14.44%

+4.88%

Max Drawdown (3Y)

Largest decline over 3 years

-12.29%

-28.09%

+15.80%

Max Drawdown (5Y)

Largest decline over 5 years

-17.00%

-42.99%

+25.99%

Max Drawdown (10Y)

Largest decline over 10 years

-39.76%

-52.86%

+13.10%

Current Drawdown

Current decline from peak

-3.41%

-3.43%

+0.02%

Average Drawdown

Average peak-to-trough decline

-4.35%

-11.51%

+7.16%

Ulcer Index

Depth and duration of drawdowns from previous peaks

4.20%

5.16%

-0.96%

Volatility

KBWP vs. FDIQ - Volatility Comparison

Invesco KBW Property & Casualty Insurance ETF (KBWP) has a higher volatility of 7.95% compared to Invesco Bloomberg Financial Data Providers ETF (FDIQ) at 7.02%. This indicates that KBWP's price experiences larger fluctuations and is considered to be riskier than FDIQ based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


KBWPFDIQDifference

Volatility (1M)

Calculated over the trailing 1-month period

7.95%

7.02%

+0.93%

Volatility (6M)

Calculated over the trailing 6-month period

14.30%

14.38%

-0.08%

Volatility (1Y)

Calculated over the trailing 1-year period

17.84%

22.43%

-4.59%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

18.72%

28.43%

-9.71%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

20.85%

31.01%

-10.16%

KBWP vs. FDIQ - Expense Ratio Comparison

Both KBWP and FDIQ have an expense ratio of 0.35%.


Dividends

KBWP vs. FDIQ - Dividend Comparison

KBWP's dividend yield for the trailing twelve months is around 1.82%, less than FDIQ's 2.14% yield.


PositionTTM20252024202320222021202020192018201720162015
FDIQ
Invesco Bloomberg Financial Data Providers ETF
2.14%2.66%2.69%2.89%2.51%2.04%2.92%2.44%2.45%1.59%1.50%1.92%
KBWP
Invesco KBW Property & Casualty Insurance ETF
1.82%1.58%1.64%1.68%1.99%3.02%1.93%1.99%2.11%1.90%2.14%1.35%

Frequently Asked Questions


KBWP and FDIQ have a correlation of 0.46, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

KBWP has higher volatility (7.95%) compared to FDIQ (7.02%). In terms of maximum drawdown, KBWP dropped -39.76% vs FDIQ's -52.86%.

On 10-year performance, KBWP leads with 12.93% vs 8.54% for FDIQ. Both ETFs have the same 0.35% expense ratio. On volatility, FDIQ has been the lower-risk option at 7.02%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 10-year period, KBWP has performed better with a 12.93% return vs 8.54%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

KBWP and FDIQ have the same expense ratio: 0.35% per year.

FDIQ has the higher dividend yield at 2.14%, compared with 1.82% for KBWP.

KBWP tracks KBW Nasdaq Property & Casualty Index, while FDIQ tracks Bloomberg Financial Data Providers Index.

FDIQ currently has the higher Sharpe Ratio (1.20 vs 0.98), 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 KBWP and FDIQ

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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