Correlation Between Retail Food and Singular Health
Can any of the company-specific risk be diversified away by investing in both Retail Food and Singular 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 Retail Food and Singular Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Retail Food Group and Singular Health Group, you can compare the effects of market volatilities on Retail Food and Singular 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 Retail Food with a short position of Singular Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Retail Food and Singular Health.
Diversification Opportunities for Retail Food and Singular Health
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Retail and Singular is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Retail Food Group and Singular Health Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singular Health Group and Retail 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 Retail Food Group are associated (or correlated) with Singular Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singular Health Group has no effect on the direction of Retail Food i.e., Retail Food and Singular Health go up and down completely randomly.
Pair Corralation between Retail Food and Singular Health
Assuming the 90 days trading horizon Retail Food is expected to generate 7.95 times less return on investment than Singular Health. But when comparing it to its historical volatility, Retail Food Group is 2.05 times less risky than Singular Health. It trades about 0.04 of its potential returns per unit of risk. Singular Health Group is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 8.10 in Singular Health Group on September 6, 2024 and sell it today you would earn a total of 3.90 from holding Singular Health Group or generate 48.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Retail Food Group vs. Singular Health Group
Performance |
Timeline |
Retail Food Group |
Singular Health Group |
Retail Food and Singular Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Retail Food and Singular Health
The main advantage of trading using opposite Retail Food and Singular Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retail Food position performs unexpectedly, Singular 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 Singular Health will offset losses from the drop in Singular Health's long position.Retail Food vs. Hotel Property Investments | Retail Food vs. MFF Capital Investments | Retail Food vs. Credit Clear | Retail Food vs. Wt Financial Group |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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