Correlation Between Fernhill Beverage and Rocky Brands
Can any of the company-specific risk be diversified away by investing in both Fernhill Beverage and Rocky Brands 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 Fernhill Beverage and Rocky Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fernhill Beverage and Rocky Brands, you can compare the effects of market volatilities on Fernhill Beverage and Rocky Brands 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 Fernhill Beverage with a short position of Rocky Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fernhill Beverage and Rocky Brands.
Diversification Opportunities for Fernhill Beverage and Rocky Brands
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Fernhill and Rocky is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Fernhill Beverage and Rocky Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rocky Brands and Fernhill Beverage 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 Fernhill Beverage are associated (or correlated) with Rocky Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rocky Brands has no effect on the direction of Fernhill Beverage i.e., Fernhill Beverage and Rocky Brands go up and down completely randomly.
Pair Corralation between Fernhill Beverage and Rocky Brands
Given the investment horizon of 90 days Fernhill Beverage is expected to under-perform the Rocky Brands. In addition to that, Fernhill Beverage is 1.05 times more volatile than Rocky Brands. It trades about -0.04 of its total potential returns per unit of risk. Rocky Brands is currently generating about 0.02 per unit of volatility. If you would invest 2,500 in Rocky Brands on September 25, 2024 and sell it today you would lose (222.00) from holding Rocky Brands or give up 8.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fernhill Beverage vs. Rocky Brands
Performance |
Timeline |
Fernhill Beverage |
Rocky Brands |
Fernhill Beverage and Rocky Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fernhill Beverage and Rocky Brands
The main advantage of trading using opposite Fernhill Beverage and Rocky Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fernhill Beverage position performs unexpectedly, Rocky Brands 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 Rocky Brands will offset losses from the drop in Rocky Brands' long position.Fernhill Beverage vs. Monster Beverage Corp | Fernhill Beverage vs. Vita Coco | Fernhill Beverage vs. PepsiCo | Fernhill Beverage vs. The Coca Cola |
Rocky Brands vs. Weyco Group | Rocky Brands vs. Caleres | Rocky Brands vs. Designer Brands | Rocky Brands vs. Vera Bradley |
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 Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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