Correlation Between Matthews China and Artisan High
Can any of the company-specific risk be diversified away by investing in both Matthews China and Artisan High 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 Matthews China and Artisan High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Matthews China Small and Artisan High Income, you can compare the effects of market volatilities on Matthews China and Artisan High 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 Matthews China with a short position of Artisan High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Matthews China and Artisan High.
Diversification Opportunities for Matthews China and Artisan High
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Matthews and Artisan is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Matthews China Small and Artisan High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Artisan High Income and Matthews China 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 Matthews China Small are associated (or correlated) with Artisan High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Artisan High Income has no effect on the direction of Matthews China i.e., Matthews China and Artisan High go up and down completely randomly.
Pair Corralation between Matthews China and Artisan High
Assuming the 90 days horizon Matthews China Small is expected to generate 15.83 times more return on investment than Artisan High. However, Matthews China is 15.83 times more volatile than Artisan High Income. It trades about 0.1 of its potential returns per unit of risk. Artisan High Income is currently generating about 0.24 per unit of risk. If you would invest 800.00 in Matthews China Small on September 2, 2024 and sell it today you would earn a total of 103.00 from holding Matthews China Small or generate 12.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Matthews China Small vs. Artisan High Income
Performance |
Timeline |
Matthews China Small |
Artisan High Income |
Matthews China and Artisan High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Matthews China and Artisan High
The main advantage of trading using opposite Matthews China and Artisan High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Matthews China position performs unexpectedly, Artisan High 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 Artisan High will offset losses from the drop in Artisan High's long position.Matthews China vs. Matthews China Dividend | Matthews China vs. Matthews Asia Innovators | Matthews China vs. Matthews Asia Small | Matthews China vs. Matthews China Fund |
Artisan High vs. Small Midcap Dividend Income | Artisan High vs. Chartwell Small Cap | Artisan High vs. The Hartford Small | Artisan High vs. Touchstone Small 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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