PortfoliosLab logoPortfoliosLab logo
NEHI vs. MLPI
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

NEHI vs. MLPI - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in NEOS Ethereum High Income ETF (NEHI) and Neos MLP & Energy Infrastructure High Income ETF (MLPI). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, NEHI achieves a -35.82% return, which is significantly lower than MLPI's 17.58% return.


NEHI

1D
-5.42%
1M
-21.57%
YTD
-35.82%
6M
-37.76%
1Y
3Y*
5Y*
10Y*

MLPI

1D
0.04%
1M
-3.13%
YTD
17.58%
6M
1Y
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

NEHI vs. MLPI - Yearly Performance Comparison


Correlation

The correlation between NEHI and MLPI is 0.04, meaning there is essentially no relationship between their price movements. Each responds to its own set of market drivers, making them strong candidates for combining in a diversified portfolio.


Correlation
Correlation (All Time)
Calculated using the full available price history since Dec 19, 2025

0.04

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

NEHI vs. MLPI - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for NEOS Ethereum High Income ETF (NEHI) and Neos MLP & Energy Infrastructure High Income ETF (MLPI). 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.


Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.

NEHI vs. MLPI - Sharpe Ratio Comparison


Loading charts...

Sharpe Ratios by Period


NEHIMLPIDifference

Sharpe Ratio (All Time)

Calculated using the full available price history

-1.08

3.49

-4.57

Drawdowns

NEHI vs. MLPI - Drawdown Comparison

The maximum NEHI drawdown since its inception was -42.60%, which is greater than MLPI's maximum drawdown of -5.38%. Use the drawdown chart below to compare losses from any high point for NEHI and MLPI.


Loading charts...

Drawdown Indicators


NEHIMLPIDifference

Max Drawdown

Largest peak-to-trough decline

-42.60%

-5.38%

-37.22%

Current Drawdown

Current decline from peak

-42.60%

-3.84%

-38.76%

Average Drawdown

Average peak-to-trough decline

-25.09%

-1.27%

-23.82%

Volatility

NEHI vs. MLPI - Volatility Comparison


Loading charts...

Volatility by Period


NEHIMLPIDifference

Volatility (1Y)

Calculated over the trailing 1-year period

57.40%

13.05%

+44.35%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

57.40%

13.05%

+44.35%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

57.40%

13.05%

+44.35%

NEHI vs. MLPI - Expense Ratio Comparison

NEHI has a 0.98% expense ratio, which is higher than MLPI's 0.68% expense ratio.


Dividends

NEHI vs. MLPI - Dividend Comparison

NEHI's dividend yield for the trailing twelve months is around 24.35%, more than MLPI's 6.04% yield.


Frequently Asked Questions


NEHI and MLPI have a correlation of 0.04, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, MLPI is cheaper at 0.68% per year. The better choice depends on whether you care most about return, fees, risk, or income.

MLPI is cheaper with a 0.68% expense ratio, compared with 0.98% for NEHI.

NEHI has the higher dividend yield at 24.35%, compared with 6.04% for MLPI.

NEHI is categorized as Cryptocurrency, while MLPI is Energy Equities. Their fees differ too: 0.98% for NEHI and 0.68% for MLPI.

Portfolio Optimizer

Find the right allocation for NEHI and MLPI

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