Correlation Between Hanesbrands and Thrivent Moderately
Can any of the company-specific risk be diversified away by investing in both Hanesbrands and Thrivent Moderately 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 Thrivent Moderately into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hanesbrands and Thrivent Moderately Servative, you can compare the effects of market volatilities on Hanesbrands and Thrivent Moderately 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 Thrivent Moderately. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanesbrands and Thrivent Moderately.
Diversification Opportunities for Hanesbrands and Thrivent Moderately
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hanesbrands and Thrivent is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Hanesbrands and Thrivent Moderately Servative in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thrivent Moderately 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 Thrivent Moderately. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thrivent Moderately has no effect on the direction of Hanesbrands i.e., Hanesbrands and Thrivent Moderately go up and down completely randomly.
Pair Corralation between Hanesbrands and Thrivent Moderately
Considering the 90-day investment horizon Hanesbrands is expected to generate 10.52 times more return on investment than Thrivent Moderately. However, Hanesbrands is 10.52 times more volatile than Thrivent Moderately Servative. It trades about 0.18 of its potential returns per unit of risk. Thrivent Moderately Servative is currently generating about 0.16 per unit of risk. If you would invest 645.00 in Hanesbrands on September 4, 2024 and sell it today you would earn a total of 246.00 from holding Hanesbrands or generate 38.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Hanesbrands vs. Thrivent Moderately Servative
Performance |
Timeline |
Hanesbrands |
Thrivent Moderately |
Hanesbrands and Thrivent Moderately Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanesbrands and Thrivent Moderately
The main advantage of trading using opposite Hanesbrands and Thrivent Moderately positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanesbrands position performs unexpectedly, Thrivent Moderately 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 Thrivent Moderately will offset losses from the drop in Thrivent Moderately's long position.Hanesbrands vs. Ralph Lauren Corp | Hanesbrands vs. Levi Strauss Co | Hanesbrands vs. Under Armour C | Hanesbrands vs. PVH Corp |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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