| MCH Etf | | | USD 22.12 0.04 0.18% |
The current 90-days correlation between Matthews China Active and iShares MSCI Singapore is 0.35 (i.e., Weak 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.
Matthews China Correlation With Market
Significant diversification
The correlation between Matthews China Active and DJI is 0.03 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Matthews China Active and DJI in the same portfolio, assuming nothing else is changed.
Check out
Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Matthews China Active. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as
signals in main economic indicators.
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 IndicatorsThere 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.