Correlation Between Hanesbrands and H M
Can any of the company-specific risk be diversified away by investing in both Hanesbrands and H M 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 Hanesbrands and H M into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hanesbrands and H M Hennes, you can compare the effects of market volatilities on Hanesbrands and H M 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 Hanesbrands with a short position of H M. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanesbrands and H M.
Diversification Opportunities for Hanesbrands and H M
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hanesbrands and HMRZF is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Hanesbrands and H M Hennes in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on H M Hennes and Hanesbrands 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 Hanesbrands are associated (or correlated) with H M. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of H M Hennes has no effect on the direction of Hanesbrands i.e., Hanesbrands and H M go up and down completely randomly.
Pair Corralation between Hanesbrands and H M
Considering the 90-day investment horizon Hanesbrands is expected to under-perform the H M. In addition to that, Hanesbrands is 1.83 times more volatile than H M Hennes. It trades about -0.14 of its total potential returns per unit of risk. H M Hennes is currently generating about -0.01 per unit of volatility. If you would invest 1,418 in H M Hennes on December 20, 2024 and sell it today you would lose (34.00) from holding H M Hennes or give up 2.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hanesbrands vs. H M Hennes
Performance |
Timeline |
Hanesbrands |
H M Hennes |
Hanesbrands and H M Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanesbrands and H M
The main advantage of trading using opposite Hanesbrands and H M positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanesbrands position performs unexpectedly, H M 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 H M will offset losses from the drop in H M's long position.Hanesbrands vs. Ralph Lauren Corp | Hanesbrands vs. Levi Strauss Co | Hanesbrands vs. Under Armour C | Hanesbrands 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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Other Complementary Tools
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
CEOs Directory Screen CEOs from public companies around the world | |
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |