Correlation Between Under Armour and Unifi
Can any of the company-specific risk be diversified away by investing in both Under Armour and Unifi 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 Under Armour and Unifi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Under Armour C and Unifi Inc, you can compare the effects of market volatilities on Under Armour and Unifi 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 Under Armour with a short position of Unifi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Under Armour and Unifi.
Diversification Opportunities for Under Armour and Unifi
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Under and Unifi is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Under Armour C and Unifi Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Unifi Inc and Under Armour 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 Under Armour C are associated (or correlated) with Unifi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Unifi Inc has no effect on the direction of Under Armour i.e., Under Armour and Unifi go up and down completely randomly.
Pair Corralation between Under Armour and Unifi
Allowing for the 90-day total investment horizon Under Armour C is expected to generate 2.11 times more return on investment than Unifi. However, Under Armour is 2.11 times more volatile than Unifi Inc. It trades about 0.1 of its potential returns per unit of risk. Unifi Inc is currently generating about -0.33 per unit of risk. If you would invest 801.00 in Under Armour C on August 31, 2024 and sell it today you would earn a total of 76.00 from holding Under Armour C or generate 9.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Under Armour C vs. Unifi Inc
Performance |
Timeline |
Under Armour C |
Unifi Inc |
Under Armour and Unifi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Under Armour and Unifi
The main advantage of trading using opposite Under Armour and Unifi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Under Armour position performs unexpectedly, Unifi 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 Unifi will offset losses from the drop in Unifi's long position.Under Armour vs. Levi Strauss Co | Under Armour vs. Columbia Sportswear | Under Armour vs. Hanesbrands | Under Armour vs. PVH Corp |
Unifi vs. Albany International | Unifi vs. Toray Industries | Unifi vs. Culp Inc | Unifi vs. Toray Industries ADR |
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.
Other Complementary Tools
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |