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MSDL vs. QQQI
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

MSDL vs. QQQI - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Morgan Stanley Direct Lending Fund (MSDL) and NEOS Nasdaq-100 High Income ETF (QQQI). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, MSDL achieves a -5.73% return, which is significantly lower than QQQI's 9.46% return.


MSDL

1D
-1.12%
1M
-0.33%
YTD
-5.73%
6M
-4.55%
1Y
-11.39%
3Y*
5Y*
10Y*

QQQI

1D
-0.36%
1M
-1.29%
YTD
9.46%
6M
8.08%
1Y
23.23%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

MSDL vs. QQQI - Yearly Performance Comparison


2026 (YTD)20252024
MSDL
Morgan Stanley Direct Lending Fund
-5.73%-10.85%12.64%
QQQI
NEOS Nasdaq-100 High Income ETF
9.46%18.62%19.44%

Correlation

The correlation between MSDL and QQQI is 0.33, which is low. Their price movements are largely independent, making them effective diversification partners.


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

0.33

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

0.26

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Return for Risk

MSDL vs. QQQI — Risk / Return Rank

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

MSDL
MSDL Risk / Return Rank: 2222
Overall Rank
MSDL Sharpe Ratio Rank: 1919
Sharpe Ratio Rank
MSDL Sortino Ratio Rank: 1717
Sortino Ratio Rank
MSDL Omega Ratio Rank: 1919
Omega Ratio Rank
MSDL Calmar Ratio Rank: 2727
Calmar Ratio Rank
MSDL Martin Ratio Rank: 2727
Martin Ratio Rank

QQQI
QQQI Risk / Return Rank: 5454
Overall Rank
QQQI Sharpe Ratio Rank: 5151
Sharpe Ratio Rank
QQQI Sortino Ratio Rank: 4747
Sortino Ratio Rank
QQQI Omega Ratio Rank: 5252
Omega Ratio Rank
QQQI Calmar Ratio Rank: 5555
Calmar Ratio Rank
QQQI Martin Ratio Rank: 6363
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.

MSDL vs. QQQI - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Morgan Stanley Direct Lending Fund (MSDL) and NEOS Nasdaq-100 High Income ETF (QQQI). 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.


MSDLQQQIDifference
Sharpe ratioReturn per unit of total volatility

-2.14

Sortino ratioReturn per unit of downside risk

-2.80

Omega ratioGain probability vs. loss probability

0.92

1.30

-0.38

Calmar ratioReturn relative to maximum drawdown

-0.46

2.43

-2.89

Martin ratioReturn relative to average drawdown

-0.82

10.31

-11.14

MSDL vs. QQQI - Sharpe Ratio Comparison

The current MSDL Sharpe Ratio is -0.56, which is lower than the QQQI Sharpe Ratio of 1.58. The chart below compares the historical Sharpe Ratios of MSDL and QQQI, 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

MSDL vs. QQQI - Drawdown Comparison

The maximum MSDL drawdown since its inception was -29.68%, which is greater than QQQI's maximum drawdown of -20.00%. Use the drawdown chart below to compare losses from any high point for MSDL and QQQI.


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Drawdown Indicators


MSDLQQQIDifference

Max Drawdown

Largest peak-to-trough decline

-29.68%

-20.00%

-9.68%

Max Drawdown (1Y)

Largest decline over 1 year

-24.80%

-9.61%

-15.19%

Current Drawdown

Current decline from peak

-22.02%

-3.67%

-18.35%

Average Drawdown

Average peak-to-trough decline

-12.23%

-2.21%

-10.02%

Ulcer Index

Depth and duration of drawdowns from previous peaks

13.84%

2.26%

+11.58%

Volatility

MSDL vs. QQQI - Volatility Comparison

The current volatility for Morgan Stanley Direct Lending Fund (MSDL) is 7.09%, while NEOS Nasdaq-100 High Income ETF (QQQI) has a volatility of 7.62%. This indicates that MSDL experiences smaller price fluctuations and is considered to be less risky than QQQI based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


MSDLQQQIDifference

Volatility (1M)

Calculated over the trailing 1-month period

7.09%

7.62%

-0.53%

Volatility (6M)

Calculated over the trailing 6-month period

16.93%

11.94%

+4.99%

Volatility (1Y)

Calculated over the trailing 1-year period

20.58%

14.78%

+5.80%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

23.19%

17.51%

+5.68%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

23.19%

17.51%

+5.68%

Dividends

MSDL vs. QQQI - Dividend Comparison

MSDL's dividend yield for the trailing twelve months is around 12.97%, less than QQQI's 15.03% yield.


PositionTTM20252024
MSDL
Morgan Stanley Direct Lending Fund
12.97%12.14%10.65%
QQQI
NEOS Nasdaq-100 High Income ETF
15.03%13.82%12.85%

Frequently Asked Questions


MSDL and QQQI have a correlation of 0.33, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

QQQI has higher volatility (7.62%) compared to MSDL (7.09%). In terms of maximum drawdown, MSDL dropped -29.68% vs QQQI's -20.00%.

QQQI currently has the higher Sharpe Ratio (1.58 vs -0.56), 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 MSDL and QQQI

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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