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XEXP.TO vs. MSFH.TO
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

XEXP.TO vs. MSFH.TO - Performance Comparison

The chart below illustrates the hypothetical performance of a CA$10,000 investment in iShares Exponential Technologies Index ETF (XEXP.TO) and Harvest Microsoft High Income Shares ETF Class A Units (MSFH.TO). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, XEXP.TO achieves a 18.49% return, which is significantly higher than MSFH.TO's -14.71% return.


XEXP.TO

1D
0.00%
1M
-1.19%
6M
13.74%
YTD
18.49%
1Y
21.34%
3Y*
12.80%
5Y*
10Y*

MSFH.TO

1D
-1.35%
1M
3.57%
6M
-11.91%
YTD
-14.71%
1Y
-17.28%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

XEXP.TO vs. MSFH.TO - Yearly Performance Comparison


2026 (YTD)20252024
XEXP.TO
iShares Exponential Technologies Index ETF
18.49%7.70%6.34%
MSFH.TO
Harvest Microsoft High Income Shares ETF Class A Units
-14.71%6.58%5.90%

Correlation

The correlation between XEXP.TO and MSFH.TO is 0.13, which is low. Their price movements are largely independent, making them effective diversification partners.


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

0.13

Correlation (All Time)
Calculated using the full available price history since Aug 21, 2024

0.21

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Return for Risk

XEXP.TO vs. MSFH.TO — Risk / Return Rank

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

XEXP.TO
XEXP.TO Risk / Return Rank: 3737
Overall Rank
XEXP.TO Sharpe Ratio Rank: 3939
Sharpe Ratio Rank
XEXP.TO Sortino Ratio Rank: 3434
Sortino Ratio Rank
XEXP.TO Omega Ratio Rank: 4949
Omega Ratio Rank
XEXP.TO Calmar Ratio Rank: 3232
Calmar Ratio Rank
XEXP.TO Martin Ratio Rank: 2929
Martin Ratio Rank

MSFH.TO
MSFH.TO Risk / Return Rank: 44
Overall Rank
MSFH.TO Sharpe Ratio Rank: 44
Sharpe Ratio Rank
MSFH.TO Sortino Ratio Rank: 44
Sortino Ratio Rank
MSFH.TO Omega Ratio Rank: 44
Omega Ratio Rank
MSFH.TO Calmar Ratio Rank: 55
Calmar Ratio Rank
MSFH.TO Martin Ratio Rank: 55
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.

XEXP.TO vs. MSFH.TO - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for iShares Exponential Technologies Index ETF (XEXP.TO) and Harvest Microsoft High Income Shares ETF Class A Units (MSFH.TO). 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.


XEXP.TOMSFH.TODifference
Sharpe ratioReturn per unit of total volatility

+1.83

Sortino ratioReturn per unit of downside risk

+2.32

Omega ratioGain probability vs. loss probability

1.24

0.89

+0.35

Calmar ratioReturn relative to maximum drawdown

1.27

-0.56

+1.83

Martin ratioReturn relative to average drawdown

3.18

-1.01

+4.18

XEXP.TO vs. MSFH.TO - Sharpe Ratio Comparison

The current XEXP.TO Sharpe Ratio is 1.11, which is higher than the MSFH.TO Sharpe Ratio of -0.72. The chart below compares the historical Sharpe Ratios of XEXP.TO and MSFH.TO, 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

XEXP.TO vs. MSFH.TO - Drawdown Comparison

The maximum XEXP.TO drawdown since its inception was -22.44%, smaller than the maximum MSFH.TO drawdown of -31.00%. Use the drawdown chart below to compare losses from any high point for XEXP.TO and MSFH.TO.


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Drawdown Indicators


XEXP.TOMSFH.TODifference

Max Drawdown

Largest peak-to-trough decline

-22.44%

-31.00%

+8.56%

Max Drawdown (1Y)

Largest decline over 1 year

-16.93%

-31.00%

+14.07%

Max Drawdown (3Y)

Largest decline over 3 years

-22.44%

Current Drawdown

Current decline from peak

-4.65%

-23.17%

+18.52%

Average Drawdown

Average peak-to-trough decline

-4.37%

-9.92%

+5.55%

Ulcer Index

Depth and duration of drawdowns from previous peaks

6.73%

17.23%

-10.50%

Volatility

XEXP.TO vs. MSFH.TO - Volatility Comparison

The current volatility for iShares Exponential Technologies Index ETF (XEXP.TO) is 4.37%, while Harvest Microsoft High Income Shares ETF Class A Units (MSFH.TO) has a volatility of 10.57%. This indicates that XEXP.TO experiences smaller price fluctuations and is considered to be less risky than MSFH.TO based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


XEXP.TOMSFH.TODifference

Volatility (1M)

Calculated over the trailing 1-month period

4.37%

10.57%

-6.20%

Volatility (6M)

Calculated over the trailing 6-month period

12.49%

21.84%

-9.35%

Volatility (1Y)

Calculated over the trailing 1-year period

19.31%

24.42%

-5.11%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

19.14%

23.47%

-4.33%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

19.14%

23.47%

-4.33%

Dividends

XEXP.TO vs. MSFH.TO - Dividend Comparison

XEXP.TO's dividend yield for the trailing twelve months is around 0.76%, less than MSFH.TO's 19.13% yield.


PositionTTM2025202420232022
MSFH.TO
Harvest Microsoft High Income Shares ETF Class A Units
19.13%14.88%4.59%0.00%0.00%
XEXP.TO
iShares Exponential Technologies Index ETF
0.76%0.69%0.80%0.63%0.21%

Frequently Asked Questions


XEXP.TO and MSFH.TO have a correlation of 0.13, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

They also come from different issuers: iShares and Harvest.

Portfolio Optimizer

Find the right allocation for XEXP.TO and MSFH.TO

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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