Correlation Between Capital World and Matthews China
Can any of the company-specific risk be diversified away by investing in both Capital World 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 Capital World and Matthews China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Capital World Growth and Matthews China Fund, you can compare the effects of market volatilities on Capital World 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 Capital World with a short position of Matthews China. Check out your portfolio center. Please also check ongoing floating volatility patterns of Capital World and Matthews China.
Diversification Opportunities for Capital World and Matthews China
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Capital and Matthews is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Capital World Growth and Matthews China Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matthews China and Capital World 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 Capital World Growth 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 has no effect on the direction of Capital World i.e., Capital World and Matthews China go up and down completely randomly.
Pair Corralation between Capital World and Matthews China
Assuming the 90 days horizon Capital World Growth is expected to under-perform the Matthews China. But the mutual fund apears to be less risky and, when comparing its historical volatility, Capital World Growth is 2.91 times less risky than Matthews China. The mutual fund trades about -0.11 of its potential returns per unit of risk. The Matthews China Fund is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,271 in Matthews China Fund on September 24, 2024 and sell it today you would earn a total of 83.00 from holding Matthews China Fund or generate 6.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Capital World Growth vs. Matthews China Fund
Performance |
Timeline |
Capital World Growth |
Matthews China |
Capital World and Matthews China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Capital World and Matthews China
The main advantage of trading using opposite Capital World and Matthews China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Capital World 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.Capital World vs. Income Fund Of | Capital World vs. New World Fund | Capital World vs. American Mutual Fund | Capital World vs. American Mutual Fund |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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