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EMEQ vs. XTL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

EMEQ vs. XTL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Nomura Focused Emerging Markets Equity ETF (EMEQ) and SPDR S&P Telecom ETF (XTL). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, EMEQ achieves a 70.13% return, which is significantly higher than XTL's 51.28% return.


EMEQ

1D
0.81%
1M
10.20%
YTD
70.13%
6M
81.37%
1Y
141.42%
3Y*
5Y*
10Y*

XTL

1D
0.16%
1M
2.24%
YTD
51.28%
6M
51.62%
1Y
120.42%
3Y*
46.01%
5Y*
18.76%
10Y*
16.27%
*Multi-year figures are annualized to reflect compound growth (CAGR)

EMEQ vs. XTL - Yearly Performance Comparison


2026 (YTD)20252024
EMEQ
Nomura Focused Emerging Markets Equity ETF
70.13%69.78%-0.73%
XTL
SPDR S&P Telecom ETF
51.28%44.95%13.35%

Correlation

The correlation between EMEQ and XTL is 0.52, 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

0.52

Correlation (All Time)
Calculated using the full available price history since Sep 5, 2024

0.52

The correlation between EMEQ and XTL has been stable across timeframes, ranging from 0.52 to 0.52 - a consistent structural relationship.

EMEQ vs. XTL - Sectors Allocation Comparison


Sectors
EMEQ
XTL

Financial Services

6.8%

-

Consumer Cyclical

6.2%

-

Consumer Defensive

3.8%

-

Communication Services

2.4%
35.0%

Healthcare

1.4%

-

Basic Materials

1.3%

-

Energy

1.3%

-

Technology

1.1%
62.7%

Utilities

0.9%

-

Industrials

0.3%

-

Real Estate

-

2.3%

Financial Services

EMEQ
6.8%
XTL

-

Consumer Cyclical

EMEQ
6.2%
XTL

-

Consumer Defensive

EMEQ
3.8%
XTL

-

Communication Services

EMEQ
2.4%
XTL
35.0%

Healthcare

EMEQ
1.4%
XTL

-

Basic Materials

EMEQ
1.3%
XTL

-

Energy

EMEQ
1.3%
XTL

-

Technology

EMEQ
1.1%
XTL
62.7%

Utilities

EMEQ
0.9%
XTL

-

Industrials

EMEQ
0.3%
XTL

-

Real Estate

EMEQ

-

XTL
2.3%

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Return for Risk

EMEQ vs. XTL — Risk / Return Rank

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

EMEQ
EMEQ Risk / Return Rank: 9595
Overall Rank
EMEQ Sharpe Ratio Rank: 9797
Sharpe Ratio Rank
EMEQ Sortino Ratio Rank: 9393
Sortino Ratio Rank
EMEQ Omega Ratio Rank: 9494
Omega Ratio Rank
EMEQ Calmar Ratio Rank: 9696
Calmar Ratio Rank
EMEQ Martin Ratio Rank: 9595
Martin Ratio Rank

XTL
XTL Risk / Return Rank: 9595
Overall Rank
XTL Sharpe Ratio Rank: 9696
Sharpe Ratio Rank
XTL Sortino Ratio Rank: 9494
Sortino Ratio Rank
XTL Omega Ratio Rank: 9393
Omega Ratio Rank
XTL Calmar Ratio Rank: 9696
Calmar Ratio Rank
XTL Martin Ratio Rank: 9696
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.

EMEQ vs. XTL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Nomura Focused Emerging Markets Equity ETF (EMEQ) and SPDR S&P Telecom ETF (XTL). 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.


EMEQXTLDifference
Sharpe ratioReturn per unit of total volatility

+0.02

Sortino ratioReturn per unit of downside risk

-0.23

Omega ratioGain probability vs. loss probability

1.61

1.56

+0.04

Calmar ratioReturn relative to maximum drawdown

7.71

7.95

-0.24

Martin ratioReturn relative to average drawdown

28.78

33.56

-4.78

EMEQ vs. XTL - Sharpe Ratio Comparison

The current EMEQ Sharpe Ratio is 3.89, which is comparable to the XTL Sharpe Ratio of 3.88. The chart below compares the historical Sharpe Ratios of EMEQ and XTL, 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

EMEQ vs. XTL - Drawdown Comparison

The maximum EMEQ drawdown since its inception was -19.99%, smaller than the maximum XTL drawdown of -37.01%. Use the drawdown chart below to compare losses from any high point for EMEQ and XTL.


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Drawdown Indicators


EMEQXTLDifference

Max Drawdown

Largest peak-to-trough decline

-19.99%

-37.01%

+17.02%

Max Drawdown (1Y)

Largest decline over 1 year

-17.91%

-14.70%

-3.21%

Max Drawdown (3Y)

Largest decline over 3 years

-22.79%

Max Drawdown (5Y)

Largest decline over 5 years

-37.01%

Max Drawdown (10Y)

Largest decline over 10 years

-37.01%

Current Drawdown

Current decline from peak

-5.69%

-6.72%

+1.03%

Average Drawdown

Average peak-to-trough decline

-4.05%

-9.76%

+5.71%

Ulcer Index

Depth and duration of drawdowns from previous peaks

4.79%

3.48%

+1.31%

Volatility

EMEQ vs. XTL - Volatility Comparison

Nomura Focused Emerging Markets Equity ETF (EMEQ) has a higher volatility of 19.34% compared to SPDR S&P Telecom ETF (XTL) at 11.43%. This indicates that EMEQ's price experiences larger fluctuations and is considered to be riskier than XTL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


EMEQXTLDifference

Volatility (1M)

Calculated over the trailing 1-month period

19.34%

11.43%

+7.91%

Volatility (6M)

Calculated over the trailing 6-month period

32.54%

24.28%

+8.26%

Volatility (1Y)

Calculated over the trailing 1-year period

35.48%

30.13%

+5.35%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

31.87%

25.34%

+6.53%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

31.87%

23.66%

+8.21%

EMEQ vs. XTL - Expense Ratio Comparison

EMEQ has a 0.86% expense ratio, which is higher than XTL's 0.35% expense ratio.


Dividends

EMEQ vs. XTL - Dividend Comparison

EMEQ's dividend yield for the trailing twelve months is around 1.62%, more than XTL's 0.86% yield.


PositionTTM20252024202320222021202020192018201720162015
EMEQ
Nomura Focused Emerging Markets Equity ETF
1.62%2.76%0.84%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
XTL
SPDR S&P Telecom ETF
0.86%1.05%0.62%0.80%0.74%1.25%0.88%0.92%1.90%2.08%1.11%1.38%

Frequently Asked Questions


EMEQ and XTL have a correlation of 0.52, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

EMEQ has higher volatility (19.34%) compared to XTL (11.43%). In terms of maximum drawdown, EMEQ dropped -19.99% vs XTL's -37.01%.

On 1-year performance, EMEQ leads with 141.42% vs 120.42% for XTL. On fees, XTL is cheaper at 0.35% per year. On volatility, XTL has been the lower-risk option at 11.43%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, EMEQ has performed better with a 141.42% return vs 120.42%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

XTL is cheaper with a 0.35% expense ratio, compared with 0.86% for EMEQ.

EMEQ has the higher dividend yield at 1.62%, compared with 0.86% for XTL.

EMEQ is categorized as Emerging Markets Diversified, while XTL is Communications Equities. They also come from different issuers: Nomura and State Street. Their fees differ too: 0.86% for EMEQ and 0.35% for XTL.

EMEQ currently has the higher Sharpe Ratio (3.89 vs 3.88), 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 EMEQ and XTL

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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