Correlation Between FitLife Brands, and Bright Scholar
Can any of the company-specific risk be diversified away by investing in both FitLife Brands, and Bright Scholar 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 FitLife Brands, and Bright Scholar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FitLife Brands, Common and Bright Scholar Education, you can compare the effects of market volatilities on FitLife Brands, and Bright Scholar 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 FitLife Brands, with a short position of Bright Scholar. Check out your portfolio center. Please also check ongoing floating volatility patterns of FitLife Brands, and Bright Scholar.
Diversification Opportunities for FitLife Brands, and Bright Scholar
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between FitLife and Bright is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding FitLife Brands, Common and Bright Scholar Education in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bright Scholar Education and FitLife Brands, 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 FitLife Brands, Common are associated (or correlated) with Bright Scholar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bright Scholar Education has no effect on the direction of FitLife Brands, i.e., FitLife Brands, and Bright Scholar go up and down completely randomly.
Pair Corralation between FitLife Brands, and Bright Scholar
Given the investment horizon of 90 days FitLife Brands, Common is expected to under-perform the Bright Scholar. In addition to that, FitLife Brands, is 1.53 times more volatile than Bright Scholar Education. It trades about -0.02 of its total potential returns per unit of risk. Bright Scholar Education is currently generating about 0.0 per unit of volatility. If you would invest 188.00 in Bright Scholar Education on September 9, 2024 and sell it today you would lose (1.00) from holding Bright Scholar Education or give up 0.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
FitLife Brands, Common vs. Bright Scholar Education
Performance |
Timeline |
FitLife Brands, Common |
Bright Scholar Education |
FitLife Brands, and Bright Scholar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FitLife Brands, and Bright Scholar
The main advantage of trading using opposite FitLife Brands, and Bright Scholar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FitLife Brands, position performs unexpectedly, Bright Scholar 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 Bright Scholar will offset losses from the drop in Bright Scholar's long position.FitLife Brands, vs. Noble Romans | FitLife Brands, vs. Greystone Logistics | FitLife Brands, vs. Innovative Food Hldg | FitLife Brands, vs. Galaxy Gaming |
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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