Correlation Between Hanesbrands and Samsung Special
Can any of the company-specific risk be diversified away by investing in both Hanesbrands and Samsung Special 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 Samsung Special into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hanesbrands and Samsung Special Purpose, you can compare the effects of market volatilities on Hanesbrands and Samsung Special 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 Samsung Special. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanesbrands and Samsung Special.
Diversification Opportunities for Hanesbrands and Samsung Special
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Hanesbrands and Samsung is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Hanesbrands and Samsung Special Purpose in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Special Purpose 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 Samsung Special. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Special Purpose has no effect on the direction of Hanesbrands i.e., Hanesbrands and Samsung Special go up and down completely randomly.
Pair Corralation between Hanesbrands and Samsung Special
Considering the 90-day investment horizon Hanesbrands is expected to under-perform the Samsung Special. In addition to that, Hanesbrands is 1.41 times more volatile than Samsung Special Purpose. It trades about -0.17 of its total potential returns per unit of risk. Samsung Special Purpose is currently generating about -0.03 per unit of volatility. If you would invest 198,300 in Samsung Special Purpose on December 2, 2024 and sell it today you would lose (8,400) from holding Samsung Special Purpose or give up 4.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 97.5% |
Values | Daily Returns |
Hanesbrands vs. Samsung Special Purpose
Performance |
Timeline |
Hanesbrands |
Samsung Special Purpose |
Hanesbrands and Samsung Special Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanesbrands and Samsung Special
The main advantage of trading using opposite Hanesbrands and Samsung Special positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanesbrands position performs unexpectedly, Samsung Special 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 Samsung Special will offset losses from the drop in Samsung Special's long position.Hanesbrands vs. Ralph Lauren Corp | Hanesbrands vs. Levi Strauss Co | Hanesbrands vs. Under Armour C | Hanesbrands vs. PVH Corp |
Samsung Special vs. Wave Electronics Co | Samsung Special vs. Hankook Furniture Co | Samsung Special vs. Korea Industrial Co | Samsung Special vs. Automobile Pc |
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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