Correlation Between Salesforce and Matthews China
Can any of the company-specific risk be diversified away by investing in both Salesforce 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 Salesforce and Matthews China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Salesforce and Matthews China Dividend, you can compare the effects of market volatilities on Salesforce 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 Salesforce with a short position of Matthews China. Check out your portfolio center. Please also check ongoing floating volatility patterns of Salesforce and Matthews China.
Diversification Opportunities for Salesforce and Matthews China
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Salesforce and Matthews is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Salesforce and Matthews China Dividend in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matthews China Dividend and Salesforce 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 Salesforce 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 Dividend has no effect on the direction of Salesforce i.e., Salesforce and Matthews China go up and down completely randomly.
Pair Corralation between Salesforce and Matthews China
Considering the 90-day investment horizon Salesforce is expected to generate 1.41 times more return on investment than Matthews China. However, Salesforce is 1.41 times more volatile than Matthews China Dividend. It trades about 0.07 of its potential returns per unit of risk. Matthews China Dividend is currently generating about 0.04 per unit of risk. If you would invest 24,955 in Salesforce on August 29, 2024 and sell it today you would earn a total of 9,363 from holding Salesforce or generate 37.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Salesforce vs. Matthews China Dividend
Performance |
| Timeline |
| Salesforce |
| Matthews China Dividend |
Salesforce and Matthews China Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Salesforce and Matthews China
The main advantage of trading using opposite Salesforce and Matthews China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Salesforce 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.| Salesforce vs. Zoom Video Communications | Salesforce vs. C3 Ai Inc | Salesforce vs. Shopify | Salesforce vs. Workday |
| Matthews China vs. Matthews China Small | Matthews China vs. Matthews Asia Dividend | Matthews China vs. Matthews Asia Small | Matthews China vs. Matthews Asia Growth |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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