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APLD vs. GEME
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

APLD vs. GEME - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Applied Digital Corporation (APLD) and Pacific North of South Global Emerging Markets Equity Active ETF (GEME). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, APLD achieves a 74.14% return, which is significantly higher than GEME's 34.02% return.


APLD

1D
2.97%
1M
-8.58%
YTD
74.14%
6M
53.27%
1Y
281.93%
3Y*
69.23%
5Y*
112.30%
10Y*
125.13%

GEME

1D
1.27%
1M
0.45%
YTD
34.02%
6M
38.52%
1Y
71.47%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

APLD vs. GEME - Yearly Performance Comparison


Correlation

The correlation between APLD and GEME is 0.49, which is low. Their price movements are largely independent, making them effective diversification partners.


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

0.49

Correlation (All Time)
Calculated using the full available price history since Jan 23, 2025

0.46

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Return for Risk

APLD vs. GEME — Risk / Return Rank

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

APLD
APLD Risk / Return Rank: 9090
Overall Rank
APLD Sharpe Ratio Rank: 9292
Sharpe Ratio Rank
APLD Sortino Ratio Rank: 8989
Sortino Ratio Rank
APLD Omega Ratio Rank: 8585
Omega Ratio Rank
APLD Calmar Ratio Rank: 9292
Calmar Ratio Rank
APLD Martin Ratio Rank: 9191
Martin Ratio Rank

GEME
GEME Risk / Return Rank: 9191
Overall Rank
GEME Sharpe Ratio Rank: 9393
Sharpe Ratio Rank
GEME Sortino Ratio Rank: 8989
Sortino Ratio Rank
GEME Omega Ratio Rank: 9292
Omega Ratio Rank
GEME Calmar Ratio Rank: 9191
Calmar Ratio Rank
GEME Martin Ratio Rank: 9191
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.

APLD vs. GEME - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Applied Digital Corporation (APLD) and Pacific North of South Global Emerging Markets Equity Active ETF (GEME). 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.


APLDGEMEDifference
Sharpe ratioReturn per unit of total volatility

-0.78

Sortino ratioReturn per unit of downside risk

-0.74

Omega ratioGain probability vs. loss probability

1.33

1.54

-0.21

Calmar ratioReturn relative to maximum drawdown

4.83

5.12

-0.29

Martin ratioReturn relative to average drawdown

11.72

19.06

-7.34

APLD vs. GEME - Sharpe Ratio Comparison

The current APLD Sharpe Ratio is 2.27, which is comparable to the GEME Sharpe Ratio of 3.05. The chart below compares the historical Sharpe Ratios of APLD and GEME, 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

APLD vs. GEME - Drawdown Comparison

The maximum APLD drawdown since its inception was -99.73%, which is greater than GEME's maximum drawdown of -16.86%. Use the drawdown chart below to compare losses from any high point for APLD and GEME.


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Drawdown Indicators


APLDGEMEDifference

Max Drawdown

Largest peak-to-trough decline

-99.73%

-16.86%

-82.87%

Max Drawdown (1Y)

Largest decline over 1 year

-50.31%

-13.46%

-36.85%

Max Drawdown (3Y)

Largest decline over 3 years

-76.66%

Max Drawdown (5Y)

Largest decline over 5 years

-82.61%

Max Drawdown (10Y)

Largest decline over 10 years

-89.80%

Current Drawdown

Current decline from peak

-14.00%

-4.44%

-9.56%

Average Drawdown

Average peak-to-trough decline

-74.86%

-2.37%

-72.49%

Ulcer Index

Depth and duration of drawdowns from previous peaks

21.22%

3.61%

+17.61%

Volatility

APLD vs. GEME - Volatility Comparison

Applied Digital Corporation (APLD) has a higher volatility of 33.15% compared to Pacific North of South Global Emerging Markets Equity Active ETF (GEME) at 9.90%. This indicates that APLD's price experiences larger fluctuations and is considered to be riskier than GEME based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


APLDGEMEDifference

Volatility (1M)

Calculated over the trailing 1-month period

33.15%

9.90%

+23.25%

Volatility (6M)

Calculated over the trailing 6-month period

80.49%

19.56%

+60.93%

Volatility (1Y)

Calculated over the trailing 1-year period

107.13%

22.59%

+84.54%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

165.20%

23.65%

+141.55%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

301.46%

23.65%

+277.81%

Dividends

APLD vs. GEME - Dividend Comparison

APLD has not paid dividends to shareholders, while GEME's dividend yield for the trailing twelve months is around 5.23%.


Frequently Asked Questions


APLD and GEME have a correlation of 0.49, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

APLD has higher volatility (33.15%) compared to GEME (9.90%). In terms of maximum drawdown, APLD dropped -99.73% vs GEME's -16.86%.

GEME currently has the higher Sharpe Ratio (3.05 vs 2.27), 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 APLD and GEME

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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