Matthews International Funds ETF Volatility
| ASIA ETF | USD 42.55 -0.73 -1.69% |
Sharpe Ratio = 0.1275
90 Days Market Risk | Chance Of Distress | 90 Days Economic Sensitivity |
Key risk metrics for Matthews International (3 Months):
Beta 1.3 | Alpha 0.29 | Risk 1.85 | Sharpe Ratio 0.13 | Expected Return 0.24 |
Moving together with Matthews ETF
| 0.74 | BBAX | JPMorgan BetaBuilders | PairCorr |
| 0.72 | AAXJ | iShares MSCI All | PairCorr |
| 0.75 | EPP | iShares MSCI Pacific | PairCorr |
| 0.96 | AIA | iShares Asia 50 | PairCorr |
| 0.95 | GMF | SPDR SAMPP Emerging | PairCorr |
| 0.99 | FLAX | Franklin FTSE Asia | PairCorr |
| 0.94 | FPA | First Trust Asia | PairCorr |
| 0.84 | MINV | Matthews Asia Innovators | PairCorr |
| 0.88 | ADIV | SmartETFs Asia Pacific | PairCorr |
| 0.92 | SIXD | AllianzIM Equity 6 | PairCorr |
| 0.61 | PFFL | ETRACS 2xMonthly Pay | PairCorr |
| 0.88 | ICPY | Tweedy Browne | PairCorr |
| 0.76 | PLGI | PL Growth | PairCorr |
| 0.81 | NUDV | Nushares ETF Trust | PairCorr |
| 0.63 | PAPR | Innovator SAMPP 500 | PairCorr |
| 0.88 | HAIL | SPDR SAMPP Kensho | PairCorr |
| 0.61 | ECOW | Pacer Emerging Markets | PairCorr |
| 0.85 | LDUR | PIMCO Enhanced Low | PairCorr |
| 0.91 | DRGN | Themes China Generative | PairCorr |
| 0.93 | EDGU | 3EDGE Dynamic Equity | PairCorr |
| 0.87 | VTV | Vanguard Value Index | PairCorr |
Moving Against Matthews ETF
| 0.81 | VXX | iPath Series B | PairCorr |
| 0.81 | VIXY | ProShares VIX Short | PairCorr |
| 0.71 | VIXM | ProShares VIX Mid | PairCorr |
| 0.71 | VXZ | iPath Series B | PairCorr |
| 0.58 | METD | Direxion Daily META | PairCorr |
Sensitivity To Market
Downside Risk
Standard Deviation | 1.85 |
ETF Volatility Analysis
Transformation |
Projected Return Density Against Market
Given a 90-day horizon, Matthews International has a beta of 1.2965. This suggests when the benchmark rises, ASIA tends to outperform it on average. However, when benchmark returns turn negative, Matthews International tends to underperform. Predicted Return Distribution |
| Density |
What Drives Matthews International's Price Volatility?
Holdings and Allocation
Changes in underlying holdings, sector weights, and rebalancing activity within the Pacific/Asia ex-Japan Stk category can influence Matthews International's price dispersion even when broad indices are stable.Political and Economic Environment
Rates, inflation expectations, and policy headlines can shift discount rates and risk appetite for Matthews International.Matthews International's Fund-Specific Factors
Flows in and out of the fund, tracking error, and premium-to-NAV shifts are common drivers of short-term price movement in Matthews International's shares.ETF Risk Measures
α | Alpha over Dow Jones | 0.29 | |
β | Beta against Dow Jones | 1.30 | |
σ | Overall volatility | 1.85 | |
Ir | Information ratio | 0.16 |
ETF Return Volatility
Matthews International historical daily return volatility represents how much of Matthews International ETF's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The ETF reported 1.8486% volatility on return distribution over a 90-day investment horizon. By contrast, Dow Jones Industrial reported 0.9238% volatility on return distribution over a 90-day investment horizon. Performance |
| Timeline |
Related Correlations Analysis
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
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Matthews International Competition Risk-Adjusted Indicators
Strong recent returns in Matthews ETF do not always mean Matthews International ETF is outperforming peers on business quality. Without risk-adjusted context, short-term returns may appear stronger than the volatility required to achieve them would suggest. These indicators are quantitative in nature and measure volatility and risk-adjusted expected returns across different positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| META | 1.75 | -0.20 | 0.00 | -0.16 | 0.00 | 2.61 | 15.22 | |||
| MSFT | 1.36 | -0.03 | 0.00 | -0.03 | 0.00 | 3.11 | 8.57 | |||
| UBER | 1.72 | -0.02 | 0.00 | -0.02 | 0.00 | 3.61 | 8.83 | |||
| F | 1.53 | -0.18 | 0.00 | -0.12 | 0.00 | 4.11 | 9.26 | |||
| T | 1.18 | -0.02 | 0.00 | 0.08 | 0.00 | 2.34 | 7.75 | |||
| A | 1.43 | -0.21 | 0.00 | -0.20 | 0.00 | 2.67 | 8.08 | |||
| CRM | 2.14 | -0.20 | 0.00 | -1.23 | 0.00 | 4.07 | 13.46 | |||
| JPM | 1.11 | 0.03 | 0.02 | 0.04 | 1.47 | 2.18 | 8.16 | |||
| MRK | 1.18 | 0.01 | 0.00 | 0.03 | 1.57 | 2.73 | 7.67 | |||
| XOM | 1.44 | 0.13 | 0.06 | -0.19 | 2.00 | 2.73 | 9.09 |
Risk Metrics, Assumptions & Methodology
Matthews International Funds metrics are compiled from fund disclosures and market reference feeds and normalized before display. Volatility and downside metrics are estimated from historical return dispersion.
Volatility Profile Summary
Recent data suggests that Matthews International Funds is more volatile than Dow Jones Industrial by approximately 2.01x over the selected horizon. This differential reflects the relative dispersion of returns and frames how the asset responds to broader market conditions. Observed price behavior indicates modest directional movement within the current volatility regime. Across the current 90-day horizon, that places the security below 16% of the broader equity and portfolio universe on a pure volatility basis. This positioning reflects relative dispersion compared to peers rather than extreme instability.Matthews International Funds exhibits characteristics that tend to dampen sensitivity to smaller market fluctuations within the current volatility regime. This directional read frames the latest price swing through a simple momentum and follow-through lens. It gains reliability when combined with broader risk controls and volatility-adjusted analysis. a somewhat bearish sentiment with potential for near-term correction. Return distributions derived from historical modeling outline a range of potential outcomes over the selected 90-day horizon. View Matthews International probability analysis.
Additional Risk Indicators
| Risk Adjusted Performance | 0.1655 | |||
| Market Risk Adjusted Performance | 0.2421 | |||
| Mean Deviation | 1.37 | |||
| Semi Deviation | 1.71 | |||
| Downside Deviation | 2.09 | |||
| Coefficient Of Variation | 600.08 | |||
| Standard Deviation | 1.87 |