Correlation Between Hanesbrands and IShares Silver
Can any of the company-specific risk be diversified away by investing in both Hanesbrands and IShares Silver 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 IShares Silver into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hanesbrands and iShares Silver Bullion, you can compare the effects of market volatilities on Hanesbrands and IShares Silver 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 IShares Silver. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanesbrands and IShares Silver.
Diversification Opportunities for Hanesbrands and IShares Silver
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Hanesbrands and IShares is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Hanesbrands and iShares Silver Bullion in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Silver Bullion 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 IShares Silver. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Silver Bullion has no effect on the direction of Hanesbrands i.e., Hanesbrands and IShares Silver go up and down completely randomly.
Pair Corralation between Hanesbrands and IShares Silver
Considering the 90-day investment horizon Hanesbrands is expected to under-perform the IShares Silver. In addition to that, Hanesbrands is 2.37 times more volatile than iShares Silver Bullion. It trades about -0.16 of its total potential returns per unit of risk. iShares Silver Bullion is currently generating about 0.2 per unit of volatility. If you would invest 1,389 in iShares Silver Bullion on December 30, 2024 and sell it today you would earn a total of 250.00 from holding iShares Silver Bullion or generate 18.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 96.88% |
Values | Daily Returns |
Hanesbrands vs. iShares Silver Bullion
Performance |
Timeline |
Hanesbrands |
iShares Silver Bullion |
Hanesbrands and IShares Silver Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanesbrands and IShares Silver
The main advantage of trading using opposite Hanesbrands and IShares Silver positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanesbrands position performs unexpectedly, IShares Silver 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 IShares Silver will offset losses from the drop in IShares Silver's long position.Hanesbrands vs. Ralph Lauren Corp | Hanesbrands vs. Levi Strauss Co | Hanesbrands vs. Under Armour C | Hanesbrands vs. PVH Corp |
IShares Silver vs. iShares Silver Bullion | IShares Silver vs. iShares Gold Bullion | IShares Silver vs. Global X Silver | IShares Silver vs. iShares Gold Bullion |
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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