Correlation Between Dow Jones and Matthews China
Can any of the company-specific risk be diversified away by investing in both Dow Jones 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 Dow Jones and Matthews China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Matthews China Active, you can compare the effects of market volatilities on Dow Jones 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 Dow Jones with a short position of Matthews China. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Matthews China.
Diversification Opportunities for Dow Jones and Matthews China
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dow and Matthews is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Matthews China Active in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matthews China Active and Dow Jones 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 Dow Jones Industrial 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 Active has no effect on the direction of Dow Jones i.e., Dow Jones and Matthews China go up and down completely randomly.
Pair Corralation between Dow Jones and Matthews China
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Matthews China. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 1.89 times less risky than Matthews China. The index trades about -0.04 of its potential returns per unit of risk. The Matthews China Active is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 2,232 in Matthews China Active on December 20, 2024 and sell it today you would earn a total of 368.00 from holding Matthews China Active or generate 16.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Dow Jones Industrial vs. Matthews China Active
Performance |
Timeline |
Dow Jones and Matthews China Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Matthews China Active
Pair trading matchups for Matthews China
Pair Trading with Dow Jones and Matthews China
The main advantage of trading using opposite Dow Jones and Matthews China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones 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.Dow Jones vs. Addus HomeCare | Dow Jones vs. United Microelectronics | Dow Jones vs. Columbia Sportswear | Dow Jones vs. Keurig Dr Pepper |
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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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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