Correlation Between Figs and Under Armour
Can any of the company-specific risk be diversified away by investing in both Figs and Under Armour 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 Figs and Under Armour into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Figs Inc and Under Armour C, you can compare the effects of market volatilities on Figs and Under Armour 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 Figs with a short position of Under Armour. Check out your portfolio center. Please also check ongoing floating volatility patterns of Figs and Under Armour.
Diversification Opportunities for Figs and Under Armour
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Figs and Under is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Figs Inc and Under Armour C in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Under Armour C and Figs 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 Figs Inc are associated (or correlated) with Under Armour. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Under Armour C has no effect on the direction of Figs i.e., Figs and Under Armour go up and down completely randomly.
Pair Corralation between Figs and Under Armour
Given the investment horizon of 90 days Figs Inc is expected to under-perform the Under Armour. In addition to that, Figs is 1.13 times more volatile than Under Armour C. It trades about -0.07 of its total potential returns per unit of risk. Under Armour C is currently generating about 0.06 per unit of volatility. If you would invest 808.00 in Under Armour C on September 3, 2024 and sell it today you would earn a total of 69.00 from holding Under Armour C or generate 8.54% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Figs Inc vs. Under Armour C
Performance |
| Timeline |
| Figs Inc |
| Under Armour C |
Figs and Under Armour Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Figs and Under Armour
The main advantage of trading using opposite Figs and Under Armour positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Figs position performs unexpectedly, Under Armour 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 Under Armour will offset losses from the drop in Under Armour's long position.The idea behind Figs Inc and Under Armour C pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Under Armour vs. Levi Strauss Co | Under Armour vs. Columbia Sportswear | Under Armour vs. Hanesbrands | Under Armour vs. PVH Corp |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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