Correlation Between Singular Health and Retail Food
Can any of the company-specific risk be diversified away by investing in both Singular Health and Retail Food 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 Singular Health and Retail Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Singular Health Group and Retail Food Group, you can compare the effects of market volatilities on Singular Health and Retail Food 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 Singular Health with a short position of Retail Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Singular Health and Retail Food.
Diversification Opportunities for Singular Health and Retail Food
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Singular and Retail is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Singular Health Group and Retail Food Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Retail Food Group and Singular Health 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 Singular Health Group are associated (or correlated) with Retail Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Retail Food Group has no effect on the direction of Singular Health i.e., Singular Health and Retail Food go up and down completely randomly.
Pair Corralation between Singular Health and Retail Food
Assuming the 90 days trading horizon Singular Health Group is expected to generate 2.05 times more return on investment than Retail Food. However, Singular Health is 2.05 times more volatile than Retail Food Group. It trades about 0.16 of its potential returns per unit of risk. Retail Food Group is currently generating about 0.04 per unit of risk. 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 |
Singular Health Group vs. Retail Food Group
Performance |
Timeline |
Singular Health Group |
Retail Food Group |
Singular Health and Retail Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Singular Health and Retail Food
The main advantage of trading using opposite Singular Health and Retail Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Singular Health position performs unexpectedly, Retail Food 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 Retail Food will offset losses from the drop in Retail Food's long position.Singular Health vs. Aneka Tambang Tbk | Singular Health vs. BHP Group Limited | Singular Health vs. Commonwealth Bank of | Singular Health vs. Commonwealth Bank of |
Retail Food vs. Aneka Tambang Tbk | Retail Food vs. BHP Group Limited | Retail Food vs. Commonwealth Bank of | Retail Food vs. Commonwealth Bank of |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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