Correlation Between NYSE Composite and Matthews China
Can any of the company-specific risk be diversified away by investing in both NYSE Composite 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 NYSE Composite and Matthews China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Matthews China Small, you can compare the effects of market volatilities on NYSE Composite 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 NYSE Composite with a short position of Matthews China. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Matthews China.
Diversification Opportunities for NYSE Composite and Matthews China
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between NYSE and Matthews is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Matthews China Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matthews China Small and NYSE Composite 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 NYSE Composite 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 Small has no effect on the direction of NYSE Composite i.e., NYSE Composite and Matthews China go up and down completely randomly.
Pair Corralation between NYSE Composite and Matthews China
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.28 times more return on investment than Matthews China. However, NYSE Composite is 3.59 times less risky than Matthews China. It trades about 0.14 of its potential returns per unit of risk. Matthews China Small is currently generating about -0.09 per unit of risk. If you would invest 1,951,644 in NYSE Composite on August 29, 2024 and sell it today you would earn a total of 70,301 from holding NYSE Composite or generate 3.6% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. Matthews China Small
Performance |
| Timeline |
NYSE Composite and Matthews China Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Matthews China Small
Pair trading matchups for Matthews China
Pair Trading with NYSE Composite and Matthews China
The main advantage of trading using opposite NYSE Composite and Matthews China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite 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.| NYSE Composite vs. Sphere Entertainment Co | NYSE Composite vs. Weibo Corp | NYSE Composite vs. BCE Inc | NYSE Composite vs. Pinterest |
| Matthews China vs. Matthews China Dividend | Matthews China vs. Matthews Asia Innovators | Matthews China vs. Matthews Asia Small | Matthews China vs. Matthews China Fund |
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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