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ASIA vs. FNGS
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

ASIA vs. FNGS - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Matthews Pacific Tiger Active ETF (ASIA) and MicroSectors FANG+ ETN (FNGS). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, ASIA achieves a 18.48% return, which is significantly higher than FNGS's 9.02% return.


ASIA

1D
1.18%
1M
-4.71%
6M
10.82%
YTD
18.48%
1Y
37.93%
3Y*
5Y*
10Y*
ALL TIME*
18.36%

FNGS

1D
1.63%
1M
0.59%
6M
12.42%
YTD
9.02%
1Y
15.45%
3Y*
28.64%
5Y*
18.98%
10Y*
ALL TIME*
30.45%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$103.81K$180.34K$200.88K
$1.57M$1.92M$2.40M

ASIA vs. FNGS - Yearly Performance Comparison


2026 (YTD)202520242023
ASIA
Matthews Pacific Tiger Active ETF
18.48%32.06%3.41%0.01%
FNGS
MicroSectors FANG+ ETN
9.02%18.64%51.99%18.53%

Correlation

The correlation between ASIA and FNGS is 0.61, which is moderate. They have sometimes moved together and sometimes differently, sharing some price drivers without tracking each other closely.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.61

Correlation (All Time)
Calculated using the full available price history since Sep 22, 2023

0.56

The correlation between ASIA and FNGS has been stable across timeframes, ranging from 0.56 to 0.61 - a consistent structural relationship.

ASIA vs. FNGS - Sectors Allocation Comparison


Sectors
ASIA
FNGS

Technology

62.1%
59.6%

Financial Services

15.4%
10.0%

Industrials

7.1%

-

Communication Services

4.6%
30.0%

Consumer Cyclical

3.4%
10.4%

Energy

2.4%

-

Healthcare

2.3%

-

Real Estate

1.6%

-

Consumer Defensive

1.1%

-

Basic Materials

1.0%

-

Utilities

-

-

Technology

ASIA
62.1%
FNGS
59.6%

Financial Services

ASIA
15.4%
FNGS
10.0%

Industrials

ASIA
7.1%
FNGS

-

Communication Services

ASIA
4.6%
FNGS
30.0%

Consumer Cyclical

ASIA
3.4%
FNGS
10.4%

Energy

ASIA
2.4%
FNGS

-

Healthcare

ASIA
2.3%
FNGS

-

Real Estate

ASIA
1.6%
FNGS

-

Consumer Defensive

ASIA
1.1%
FNGS

-

Basic Materials

ASIA
1.0%
FNGS

-

Utilities

ASIA

-

FNGS

-

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Return for Risk

ASIA vs. FNGS — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

ASIA
ASIA Risk / Return Rank: 5454
Overall Rank
ASIA Sharpe Ratio Rank: 5555
Sharpe Ratio Rank
ASIA Sortino Ratio Rank: 4949
Sortino Ratio Rank
ASIA Omega Ratio Rank: 5858
Omega Ratio Rank
ASIA Calmar Ratio Rank: 5555
Calmar Ratio Rank
ASIA Martin Ratio Rank: 5454
Martin Ratio Rank

FNGS
FNGS Risk / Return Rank: 2222
Overall Rank
FNGS Sharpe Ratio Rank: 2323
Sharpe Ratio Rank
FNGS Sortino Ratio Rank: 2323
Sortino Ratio Rank
FNGS Omega Ratio Rank: 2323
Omega Ratio Rank
FNGS Calmar Ratio Rank: 2020
Calmar Ratio Rank
FNGS Martin Ratio Rank: 2121
Martin Ratio Rank
The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

ASIA vs. FNGS - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Matthews Pacific Tiger Active ETF (ASIA) and MicroSectors FANG+ ETN (FNGS). 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.


ASIAFNGSDifference
Sharpe ratioReturn per unit of total volatility

+0.81

Sortino ratioReturn per unit of downside risk

+0.92

Omega ratioGain probability vs. loss probability

1.25

1.10

+0.15

Calmar ratioReturn relative to maximum drawdown

1.96

0.51

+1.45

Martin ratioReturn relative to average drawdown

6.31

1.37

+4.95

ASIA vs. FNGS - Sharpe Ratio Comparison

The current ASIA Sharpe Ratio is 1.32, which is higher than the FNGS Sharpe Ratio of 0.52. The chart below compares the historical Sharpe Ratios of ASIA and FNGS, 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

ASIA vs. FNGS - Drawdown Comparison

The maximum ASIA drawdown since its inception was -23.95%, smaller than the maximum FNGS drawdown of -48.98%. Use the drawdown chart below to compare losses from any high point for ASIA and FNGS.


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Drawdown Indicators


ASIAFNGSDifference

Max Drawdown

Largest peak-to-trough decline

-23.95%

-48.98%

+25.03%

Max Drawdown (1Y)

Largest decline over 1 year

-18.52%

-22.93%

+4.41%

Max Drawdown (3Y)

Largest decline over 3 years

-26.77%

Max Drawdown (5Y)

Largest decline over 5 years

-48.98%

Current Drawdown

Current decline from peak

-14.53%

-7.74%

-6.79%

Average Drawdown

Average peak-to-trough decline

-5.10%

-10.80%

+5.70%

Ulcer Index

Depth and duration of drawdowns from previous peaks

5.74%

8.61%

-2.87%

Volatility

ASIA vs. FNGS - Volatility Comparison

Matthews Pacific Tiger Active ETF (ASIA) has a higher volatility of 10.24% compared to MicroSectors FANG+ ETN (FNGS) at 5.87%. This indicates that ASIA's price experiences larger fluctuations and is considered to be riskier than FNGS based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


ASIAFNGSDifference

Volatility (1M)

Calculated over the trailing 1-month period

10.24%

5.87%

+4.37%

Volatility (6M)

Calculated over the trailing 6-month period

25.12%

18.36%

+6.76%

Volatility (1Y)

Calculated over the trailing 1-year period

27.45%

22.86%

+4.59%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

22.25%

30.29%

-8.04%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

22.25%

31.07%

-8.82%

ASIA vs. FNGS - Expense Ratio Comparison

ASIA has a 0.79% expense ratio, which is higher than FNGS's 0.58% expense ratio.


Dividends

ASIA vs. FNGS - Dividend Comparison

ASIA's dividend yield for the trailing twelve months is around 0.88%, while FNGS has not paid dividends to shareholders.


PositionTTM202520242023
ASIA
Matthews Pacific Tiger Active ETF
0.88%1.05%0.58%0.12%
FNGS
MicroSectors FANG+ ETN
0.00%0.00%0.00%0.00%

Frequently Asked Questions


ASIA and FNGS have a correlation of 0.61, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

ASIA has higher volatility (10.24%) compared to FNGS (5.87%). In terms of maximum drawdown, ASIA dropped -23.95% vs FNGS's -48.98%.

On 1-year performance, ASIA leads with 37.93% vs 15.45% for FNGS. On fees, FNGS is cheaper at 0.58% per year. On volatility, FNGS has been the lower-risk option at 5.87%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, ASIA has performed better with a 37.93% return vs 15.45%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

FNGS is cheaper with a 0.58% expense ratio, compared with 0.79% for ASIA.

ASIA has the higher dividend yield at 0.88%, compared with 0.00% for FNGS.

ASIA is categorized as Asia Pacific Equities, while FNGS is Large Cap Growth Equities. They also come from different issuers: Matthews and BMO. Their fees differ too: 0.79% for ASIA and 0.58% for FNGS.

ASIA currently has the higher Sharpe Ratio (1.32 vs 0.52), 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 ASIA and FNGS

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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