PortfoliosLab logoPortfoliosLab logo
PCEM vs. EEMS
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

PCEM vs. EEMS - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Polen Capital Emerging Markets ex-China Growth ETF (PCEM) and iShares MSCI Emerging Markets Small-Cap ETF (EEMS). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period


PCEM

1D
1M
YTD
6M
1Y
3Y*
5Y*
10Y*

EEMS

1D
0.49%
1M
-0.06%
YTD
15.19%
6M
17.20%
1Y
28.89%
3Y*
17.04%
5Y*
7.03%
10Y*
9.25%
*Multi-year figures are annualized to reflect compound growth (CAGR)

PCEM vs. EEMS - Yearly Performance Comparison


Correlation

The correlation between PCEM and EEMS is 0.60, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


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

0.60

Correlation (All Time)
Calculated using the full available price history since Sep 12, 2024

0.65

The correlation between PCEM and EEMS has been stable across timeframes, ranging from 0.60 to 0.65 - a consistent structural relationship.

PCEM vs. EEMS - Sectors Allocation Comparison


Sectors
PCEM
EEMS

Technology

43.3%
22.7%

Consumer Cyclical

17.5%
9.6%

Industrials

13.0%
18.9%

Financial Services

11.7%
11.1%

Healthcare

7.1%
9.4%

Communication Services

5.0%
2.9%

Consumer Defensive

2.5%
5.2%

Basic Materials

-

9.3%

Energy

-

2.4%

Real Estate

-

5.9%

Utilities

-

2.7%

Technology

PCEM
43.3%
EEMS
22.7%

Consumer Cyclical

PCEM
17.5%
EEMS
9.6%

Industrials

PCEM
13.0%
EEMS
18.9%

Financial Services

PCEM
11.7%
EEMS
11.1%

Healthcare

PCEM
7.1%
EEMS
9.4%

Communication Services

PCEM
5.0%
EEMS
2.9%

Consumer Defensive

PCEM
2.5%
EEMS
5.2%

Basic Materials

PCEM

-

EEMS
9.3%

Energy

PCEM

-

EEMS
2.4%

Real Estate

PCEM

-

EEMS
5.9%

Utilities

PCEM

-

EEMS
2.7%

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

PCEM vs. EEMS — Risk / Return Rank

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

PCEM

EEMS
EEMS Risk / Return Rank: 5151
Overall Rank
EEMS Sharpe Ratio Rank: 5050
Sharpe Ratio Rank
EEMS Sortino Ratio Rank: 4747
Sortino Ratio Rank
EEMS Omega Ratio Rank: 5050
Omega Ratio Rank
EEMS Calmar Ratio Rank: 5555
Calmar Ratio Rank
EEMS Martin Ratio Rank: 5555
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.

PCEM vs. EEMS - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Polen Capital Emerging Markets ex-China Growth ETF (PCEM) and iShares MSCI Emerging Markets Small-Cap ETF (EEMS). 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.

PCEM vs. EEMS - Sharpe Ratio Comparison


Loading charts...

Sharpe Ratios by Period


PCEMEEMSDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

1.68

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.44

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.52

Sharpe Ratio (All Time)

Calculated using the full available price history

0.32

Drawdowns

PCEM vs. EEMS - Drawdown Comparison


Loading charts...

Drawdown Indicators


PCEMEEMSDifference

Max Drawdown

Largest peak-to-trough decline

-48.89%

Max Drawdown (1Y)

Largest decline over 1 year

-10.87%

Max Drawdown (3Y)

Largest decline over 3 years

-19.71%

Max Drawdown (5Y)

Largest decline over 5 years

-27.07%

Max Drawdown (10Y)

Largest decline over 10 years

-48.89%

Current Drawdown

Current decline from peak

-1.93%

Average Drawdown

Average peak-to-trough decline

-10.50%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.08%

Volatility

PCEM vs. EEMS - Volatility Comparison


Loading charts...

Volatility by Period


PCEMEEMSDifference

Volatility (1M)

Calculated over the trailing 1-month period

6.80%

Volatility (6M)

Calculated over the trailing 6-month period

14.90%

Volatility (1Y)

Calculated over the trailing 1-year period

17.30%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

16.06%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

17.99%

PCEM vs. EEMS - Expense Ratio Comparison

PCEM has a 1.00% expense ratio, which is higher than EEMS's 0.73% expense ratio.


Dividends

PCEM vs. EEMS - Dividend Comparison

PCEM's dividend yield for the trailing twelve months is around 0.37%, less than EEMS's 2.68% yield.


PositionTTM20252024202320222021202020192018201720162015
EEMS
iShares MSCI Emerging Markets Small-Cap ETF
2.68%3.09%2.60%2.69%0.89%3.56%2.14%2.64%3.06%2.47%2.51%2.33%
PCEM
Polen Capital Emerging Markets ex-China Growth ETF
0.37%0.40%0.10%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


PCEM and EEMS have a correlation of 0.60, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, EEMS is cheaper at 0.73% per year. The better choice depends on whether you care most about return, fees, risk, or income.

EEMS is cheaper with a 0.73% expense ratio, compared with 1.00% for PCEM.

EEMS has the higher dividend yield at 2.68%, compared with 0.37% for PCEM.

They also come from different issuers: Polen Capital and iShares. Their fees differ too: 1.00% for PCEM and 0.73% for EEMS.

Portfolio Optimizer

Find the right allocation for PCEM and EEMS

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