PortfoliosLab logoPortfoliosLab logo
AIEQ vs. CCOR
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

AIEQ vs. CCOR - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in AI Powered Equity ETF (AIEQ) and Core Alternative ETF (CCOR). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, AIEQ achieves a 10.58% return, which is significantly higher than CCOR's -3.71% return.


AIEQ

1D
-0.53%
1M
5.24%
YTD
10.58%
6M
11.05%
1Y
22.77%
3Y*
5Y*
10Y*

CCOR

1D
0.30%
1M
-2.55%
YTD
-3.71%
6M
-4.87%
1Y
-5.97%
3Y*
-2.34%
5Y*
-2.56%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

AIEQ vs. CCOR - Yearly Performance Comparison


2026 (YTD)20252024
AIEQ
AI Powered Equity ETF
10.58%13.96%14.21%
CCOR
Core Alternative ETF
-3.71%3.52%-4.68%

Correlation

The correlation between AIEQ and CCOR is 0.14, which is low. Their price movements are largely independent, making them effective diversification partners.


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

0.14

Correlation (All Time)
Calculated using the full available price history since Jan 30, 2024

0.04

AIEQ vs. CCOR - Sectors Allocation Comparison


Sectors
AIEQ
CCOR

Technology

35.7%
16.2%

Financial Services

13.1%
17.7%

Communication Services

12.3%
8.7%

Consumer Cyclical

10.5%
9.4%

Industrials

8.3%
9.2%

Healthcare

7.1%
10.8%

Consumer Defensive

5.7%
6.8%

Energy

2.7%
7.2%

Basic Materials

2.4%
5.1%

Real Estate

1.7%
2.8%

Utilities

0.6%
6.3%

Technology

AIEQ
35.7%
CCOR
16.2%

Financial Services

AIEQ
13.1%
CCOR
17.7%

Communication Services

AIEQ
12.3%
CCOR
8.7%

Consumer Cyclical

AIEQ
10.5%
CCOR
9.4%

Industrials

AIEQ
8.3%
CCOR
9.2%

Healthcare

AIEQ
7.1%
CCOR
10.8%

Consumer Defensive

AIEQ
5.7%
CCOR
6.8%

Energy

AIEQ
2.7%
CCOR
7.2%

Basic Materials

AIEQ
2.4%
CCOR
5.1%

Real Estate

AIEQ
1.7%
CCOR
2.8%

Utilities

AIEQ
0.6%
CCOR
6.3%

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

AIEQ vs. CCOR — Risk / Return Rank

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

AIEQ
AIEQ Risk / Return Rank: 5353
Overall Rank
AIEQ Sharpe Ratio Rank: 5353
Sharpe Ratio Rank
AIEQ Sortino Ratio Rank: 5151
Sortino Ratio Rank
AIEQ Omega Ratio Rank: 5353
Omega Ratio Rank
AIEQ Calmar Ratio Rank: 5050
Calmar Ratio Rank
AIEQ Martin Ratio Rank: 5555
Martin Ratio Rank

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

AIEQ vs. CCOR - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for AI Powered Equity ETF (AIEQ) and Core Alternative ETF (CCOR). 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.


AIEQCCORDifference
Sharpe ratioReturn per unit of total volatility

+2.72

Sortino ratioReturn per unit of downside risk

+3.71

Omega ratioGain probability vs. loss probability

1.34

0.87

+0.47

Calmar ratioReturn relative to maximum drawdown

2.51

-0.69

+3.20

Martin ratioReturn relative to average drawdown

9.72

-1.59

+11.31

AIEQ vs. CCOR - Sharpe Ratio Comparison

The current AIEQ Sharpe Ratio is 1.86, which is higher than the CCOR Sharpe Ratio of -0.87. The chart below compares the historical Sharpe Ratios of AIEQ and CCOR, 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


AIEQCCORDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

1.86

-0.87

+2.72

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

-0.23

Sharpe Ratio (All Time)

Calculated using the full available price history

0.87

0.11

+0.75

Drawdowns

AIEQ vs. CCOR - Drawdown Comparison

The maximum AIEQ drawdown since its inception was -24.19%, which is greater than CCOR's maximum drawdown of -22.99%. Use the drawdown chart below to compare losses from any high point for AIEQ and CCOR.


Loading charts...

Drawdown Indicators


AIEQCCORDifference

Max Drawdown

Largest peak-to-trough decline

-24.19%

-22.99%

-1.20%

Max Drawdown (1Y)

Largest decline over 1 year

-9.11%

-8.75%

-0.36%

Max Drawdown (3Y)

Largest decline over 3 years

-12.31%

Max Drawdown (5Y)

Largest decline over 5 years

-22.99%

Current Drawdown

Current decline from peak

-0.56%

-20.03%

+19.47%

Average Drawdown

Average peak-to-trough decline

-3.31%

-7.29%

+3.98%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.35%

3.77%

-1.42%

Volatility

AIEQ vs. CCOR - Volatility Comparison

AI Powered Equity ETF (AIEQ) has a higher volatility of 3.14% compared to Core Alternative ETF (CCOR) at 1.78%. This indicates that AIEQ's price experiences larger fluctuations and is considered to be riskier than CCOR based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


Loading charts...

Volatility by Period


AIEQCCORDifference

Volatility (1M)

Calculated over the trailing 1-month period

3.14%

1.78%

+1.36%

Volatility (6M)

Calculated over the trailing 6-month period

9.37%

4.96%

+4.41%

Volatility (1Y)

Calculated over the trailing 1-year period

12.34%

6.93%

+5.41%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

19.48%

11.10%

+8.38%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

19.48%

10.75%

+8.73%

AIEQ vs. CCOR - Expense Ratio Comparison

AIEQ has a 0.80% expense ratio, which is lower than CCOR's 1.09% expense ratio.


Dividends

AIEQ vs. CCOR - Dividend Comparison

AIEQ's dividend yield for the trailing twelve months is around 0.39%, less than CCOR's 1.11% yield.


PositionTTM202520242023202220212020201920182017
AIEQ
AI Powered Equity ETF
0.39%0.43%0.65%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
CCOR
Core Alternative ETF
1.11%1.07%1.18%1.21%1.11%1.02%1.50%0.73%1.53%0.89%

Frequently Asked Questions


AIEQ and CCOR have a correlation of 0.14, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

AIEQ has higher volatility (3.14%) compared to CCOR (1.78%). In terms of maximum drawdown, AIEQ dropped -24.19% vs CCOR's -22.99%.

On 1-year performance, AIEQ leads with 22.77% vs -5.97% for CCOR. On fees, AIEQ is cheaper at 0.80% per year. On volatility, CCOR has been the lower-risk option at 1.78%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, AIEQ has performed better with a 22.77% return vs -5.97%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

AIEQ is cheaper with a 0.80% expense ratio, compared with 1.09% for CCOR.

CCOR has the higher dividend yield at 1.11%, compared with 0.39% for AIEQ.

They also come from different issuers: ETFMG and Core Alternative Capital. Their fees differ too: 0.80% for AIEQ and 1.09% for CCOR.

AIEQ currently has the higher Sharpe Ratio (1.86 vs -0.87), 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 AIEQ and CCOR

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