Correlation Between Where Food and Ming Shing
Can any of the company-specific risk be diversified away by investing in both Where Food and Ming Shing 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 Where Food and Ming Shing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Where Food Comes and Ming Shing Group, you can compare the effects of market volatilities on Where Food and Ming Shing 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 Where Food with a short position of Ming Shing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Where Food and Ming Shing.
Diversification Opportunities for Where Food and Ming Shing
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Where and Ming is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Where Food Comes and Ming Shing Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ming Shing Group and Where Food 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 Where Food Comes are associated (or correlated) with Ming Shing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ming Shing Group has no effect on the direction of Where Food i.e., Where Food and Ming Shing go up and down completely randomly.
Pair Corralation between Where Food and Ming Shing
Given the investment horizon of 90 days Where Food Comes is expected to generate 0.22 times more return on investment than Ming Shing. However, Where Food Comes is 4.64 times less risky than Ming Shing. It trades about 0.11 of its potential returns per unit of risk. Ming Shing Group is currently generating about -0.11 per unit of risk. If you would invest 1,090 in Where Food Comes on September 23, 2024 and sell it today you would earn a total of 155.00 from holding Where Food Comes or generate 14.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 32.31% |
Values | Daily Returns |
Where Food Comes vs. Ming Shing Group
Performance |
Timeline |
Where Food Comes |
Ming Shing Group |
Where Food and Ming Shing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Where Food and Ming Shing
The main advantage of trading using opposite Where Food and Ming Shing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Where Food position performs unexpectedly, Ming Shing 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 Ming Shing will offset losses from the drop in Ming Shing's long position.Where Food vs. Dubber Limited | Where Food vs. Advanced Health Intelligence | Where Food vs. Danavation Technologies Corp | Where Food vs. BASE Inc |
Ming Shing vs. CenterPoint Energy | Ming Shing vs. Western Midstream Partners | Ming Shing vs. Where Food Comes | Ming Shing vs. Enlight Renewable Energy |
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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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