Correlation Between FitLife Brands, and Kaiser Aluminum
Can any of the company-specific risk be diversified away by investing in both FitLife Brands, and Kaiser Aluminum 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 Kaiser Aluminum 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 Kaiser Aluminum, you can compare the effects of market volatilities on FitLife Brands, and Kaiser Aluminum 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 Kaiser Aluminum. Check out your portfolio center. Please also check ongoing floating volatility patterns of FitLife Brands, and Kaiser Aluminum.
Diversification Opportunities for FitLife Brands, and Kaiser Aluminum
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between FitLife and Kaiser is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding FitLife Brands, Common and Kaiser Aluminum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kaiser Aluminum 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 Kaiser Aluminum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kaiser Aluminum has no effect on the direction of FitLife Brands, i.e., FitLife Brands, and Kaiser Aluminum go up and down completely randomly.
Pair Corralation between FitLife Brands, and Kaiser Aluminum
Given the investment horizon of 90 days FitLife Brands, Common is expected to under-perform the Kaiser Aluminum. But the stock apears to be less risky and, when comparing its historical volatility, FitLife Brands, Common is 1.19 times less risky than Kaiser Aluminum. The stock trades about -0.02 of its potential returns per unit of risk. The Kaiser Aluminum is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 6,813 in Kaiser Aluminum on September 12, 2024 and sell it today you would earn a total of 1,111 from holding Kaiser Aluminum or generate 16.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
FitLife Brands, Common vs. Kaiser Aluminum
Performance |
Timeline |
FitLife Brands, Common |
Kaiser Aluminum |
FitLife Brands, and Kaiser Aluminum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FitLife Brands, and Kaiser Aluminum
The main advantage of trading using opposite FitLife Brands, and Kaiser Aluminum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FitLife Brands, position performs unexpectedly, Kaiser Aluminum 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 Kaiser Aluminum will offset losses from the drop in Kaiser Aluminum'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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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