Correlation Between EA Series and Matthews China
Can any of the company-specific risk be diversified away by investing in both EA Series and Matthews China at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining EA Series and Matthews China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EA Series Trust and Matthews China Discovery, you can compare the effects of market volatilities on EA Series and Matthews China and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in EA Series with a short position of Matthews China. Check out your portfolio center. Please also check ongoing floating volatility patterns of EA Series and Matthews China.
Diversification Opportunities for EA Series and Matthews China
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between MDLV and Matthews is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding EA Series Trust and Matthews China Discovery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matthews China Discovery and EA Series is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on EA Series Trust are associated (or correlated) with Matthews China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Matthews China Discovery has no effect on the direction of EA Series i.e., EA Series and Matthews China go up and down completely randomly.
Pair Corralation between EA Series and Matthews China
Given the investment horizon of 90 days EA Series is expected to generate 1.92 times less return on investment than Matthews China. But when comparing it to its historical volatility, EA Series Trust is 2.07 times less risky than Matthews China. It trades about 0.12 of its potential returns per unit of risk. Matthews China Discovery is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 2,574 in Matthews China Discovery on December 29, 2024 and sell it today you would earn a total of 243.00 from holding Matthews China Discovery or generate 9.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
EA Series Trust vs. Matthews China Discovery
Performance |
Timeline |
EA Series Trust |
Matthews China Discovery |
EA Series and Matthews China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EA Series and Matthews China
The main advantage of trading using opposite EA Series and Matthews China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EA Series position performs unexpectedly, Matthews China can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Matthews China will offset losses from the drop in Matthews China's long position.EA Series vs. FT Vest Equity | EA Series vs. Northern Lights | EA Series vs. Dimensional International High | EA Series vs. First Trust Exchange Traded |
Matthews China vs. Matthews Emerging Markets | Matthews China vs. Morgan Stanley Pathway | Matthews China vs. Neuberger Berman ETF | Matthews China vs. Fidelity Small Mid Cap |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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