Matthews China Correlations
| MCHS Etf | 33.86 0.02 0.06% |
The current 90-days correlation between Matthews China Discovery and AdvisorShares Hotel ETF is 0.29 (i.e., Modest diversification). The correlation of Matthews China is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.
Matthews China Correlation With Market
Very weak diversification
The correlation between Matthews China Discovery and DJI is 0.44 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Matthews China Discovery and DJI in the same portfolio, assuming nothing else is changed.
Matthews | Build AI portfolio with Matthews Etf |
Moving together with Matthews Etf
| 0.9 | KWEB | KraneShares CSI China | PairCorr |
| 0.85 | FXI | iShares China Large Aggressive Push | PairCorr |
| 0.73 | ASHR | Xtrackers Harvest CSI Sell-off Trend | PairCorr |
| 0.9 | GXC | SPDR SP China | PairCorr |
| 0.92 | CQQQ | Invesco China Technology | PairCorr |
| 0.91 | CXSE | WisdomTree China | PairCorr |
| 0.72 | KBA | KraneShares Bosera MSCI | PairCorr |
| 0.75 | CNYA | iShares MSCI China | PairCorr |
| 0.63 | GDXU | MicroSectors Gold Miners Trending | PairCorr |
| 0.71 | TESL | Simplify Volt TSLA Symbol Change | PairCorr |
| 0.61 | JNUG | Direxion Daily Junior | PairCorr |
| 0.64 | IJR | iShares Core SP Sell-off Trend | PairCorr |
Moving against Matthews Etf
| 0.67 | WTID | UBS ETRACS | PairCorr |
| 0.57 | KO | Coca Cola Sell-off Trend | PairCorr |
| 0.51 | MCD | McDonalds | PairCorr |
| 0.38 | BA | Boeing | PairCorr |
| 0.37 | DIS | Walt Disney | PairCorr |
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
|
Matthews China Constituents Risk-Adjusted Indicators
There is a big difference between Matthews Etf performing well and Matthews China ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Matthews China's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| BEDZ | 0.94 | (0.14) | (0.12) | (0.01) | 1.03 | 1.98 | 6.79 | |||
| GEND | 0.44 | 0.06 | (0.11) | (1.16) | 0.43 | 0.89 | 3.21 | |||
| PCEM | 0.59 | 0.02 | (0.10) | 0.37 | 0.79 | 1.09 | 3.20 | |||
| DUKX | 0.52 | 0.01 | (0.03) | 0.12 | 0.61 | 1.12 | 4.41 | |||
| KPRO | 0.29 | 0.04 | (0.09) | 0.26 | 0.21 | 0.71 | 2.45 | |||
| EAFG | 0.68 | 0.11 | (0.01) | (14.13) | 0.79 | 1.50 | 4.09 | |||
| EATZ | 0.75 | (0.30) | 0.00 | (0.19) | 0.00 | 1.28 | 5.67 | |||
| THNR | 0.87 | 0.09 | 0.06 | 0.23 | 0.76 | 2.14 | 7.30 | |||
| BFRE | 0.48 | 0.12 | (0.01) | (1.49) | 0.51 | 1.09 | 3.86 | |||
| ZSC | 0.61 | 0.24 | 0.11 | (0.94) | 0.54 | 1.51 | 5.32 |