Correlation Between Hanesbrands and Democratic Large
Can any of the company-specific risk be diversified away by investing in both Hanesbrands and Democratic Large 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 Democratic Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hanesbrands and Democratic Large Cap, you can compare the effects of market volatilities on Hanesbrands and Democratic Large 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 Democratic Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanesbrands and Democratic Large.
Diversification Opportunities for Hanesbrands and Democratic Large
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Hanesbrands and Democratic is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Hanesbrands and Democratic Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Democratic Large Cap 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 Democratic Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Democratic Large Cap has no effect on the direction of Hanesbrands i.e., Hanesbrands and Democratic Large go up and down completely randomly.
Pair Corralation between Hanesbrands and Democratic Large
Considering the 90-day investment horizon Hanesbrands is expected to generate 6.47 times more return on investment than Democratic Large. However, Hanesbrands is 6.47 times more volatile than Democratic Large Cap. It trades about 0.2 of its potential returns per unit of risk. Democratic Large Cap is currently generating about 0.42 per unit of risk. If you would invest 721.00 in Hanesbrands on September 6, 2024 and sell it today you would earn a total of 140.00 from holding Hanesbrands or generate 19.42% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Hanesbrands vs. Democratic Large Cap
Performance |
| Timeline |
| Hanesbrands |
| Democratic Large Cap |
Hanesbrands and Democratic Large Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hanesbrands and Democratic Large
The main advantage of trading using opposite Hanesbrands and Democratic Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanesbrands position performs unexpectedly, Democratic Large 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 Democratic Large will offset losses from the drop in Democratic Large's long position.| Hanesbrands vs. Ralph Lauren Corp | Hanesbrands vs. Levi Strauss Co | Hanesbrands vs. Under Armour C | Hanesbrands vs. PVH Corp |
| Democratic Large vs. Point Bridge GOP | Democratic Large vs. First Trust Dorsey | Democratic Large vs. First Trust Dorsey | Democratic Large vs. First Trust RBA |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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