Correlation Between Blue Label and Primary Health
Can any of the company-specific risk be diversified away by investing in both Blue Label and Primary Health 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 Blue Label and Primary Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Blue Label Telecoms and Primary Health Prop, you can compare the effects of market volatilities on Blue Label and Primary Health 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 Blue Label with a short position of Primary Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Blue Label and Primary Health.
Diversification Opportunities for Blue Label and Primary Health
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Blue and Primary is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Blue Label Telecoms and Primary Health Prop in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Primary Health Prop and Blue Label 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 Blue Label Telecoms are associated (or correlated) with Primary Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Primary Health Prop has no effect on the direction of Blue Label i.e., Blue Label and Primary Health go up and down completely randomly.
Pair Corralation between Blue Label and Primary Health
Assuming the 90 days trading horizon Blue Label Telecoms is expected to generate 0.86 times more return on investment than Primary Health. However, Blue Label Telecoms is 1.16 times less risky than Primary Health. It trades about 0.45 of its potential returns per unit of risk. Primary Health Prop is currently generating about -0.01 per unit of risk. If you would invest 83,000 in Blue Label Telecoms on April 23, 2025 and sell it today you would earn a total of 67,100 from holding Blue Label Telecoms or generate 80.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Blue Label Telecoms vs. Primary Health Prop
Performance |
Timeline |
Blue Label Telecoms |
Primary Health Prop |
Blue Label and Primary Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Blue Label and Primary Health
The main advantage of trading using opposite Blue Label and Primary Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Blue Label position performs unexpectedly, Primary Health 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 Primary Health will offset losses from the drop in Primary Health's long position.Blue Label vs. Mantengu Mining | Blue Label vs. AfroCentric Investment Corp | Blue Label vs. Frontier Transport Holdings | Blue Label vs. Lesaka Technologies |
Primary Health vs. Blue Label Telecoms | Primary Health vs. Astral Foods | Primary Health vs. AfroCentric Investment Corp | Primary Health vs. Supermarket Income REIT |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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