Correlation Between Hanesbrands and Diamondrock Hospitality
Can any of the company-specific risk be diversified away by investing in both Hanesbrands and Diamondrock Hospitality 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 Diamondrock Hospitality into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hanesbrands and Diamondrock Hospitality Co, you can compare the effects of market volatilities on Hanesbrands and Diamondrock Hospitality 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 Diamondrock Hospitality. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanesbrands and Diamondrock Hospitality.
Diversification Opportunities for Hanesbrands and Diamondrock Hospitality
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Hanesbrands and Diamondrock is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Hanesbrands and Diamondrock Hospitality Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Diamondrock Hospitality 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 Diamondrock Hospitality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Diamondrock Hospitality has no effect on the direction of Hanesbrands i.e., Hanesbrands and Diamondrock Hospitality go up and down completely randomly.
Pair Corralation between Hanesbrands and Diamondrock Hospitality
Considering the 90-day investment horizon Hanesbrands is expected to generate 1.75 times more return on investment than Diamondrock Hospitality. However, Hanesbrands is 1.75 times more volatile than Diamondrock Hospitality Co. It trades about 0.17 of its potential returns per unit of risk. Diamondrock Hospitality Co is currently generating about 0.15 per unit of risk. If you would invest 638.00 in Hanesbrands on September 5, 2024 and sell it today you would earn a total of 229.00 from holding Hanesbrands or generate 35.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Hanesbrands vs. Diamondrock Hospitality Co
Performance |
Timeline |
Hanesbrands |
Diamondrock Hospitality |
Hanesbrands and Diamondrock Hospitality Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanesbrands and Diamondrock Hospitality
The main advantage of trading using opposite Hanesbrands and Diamondrock Hospitality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanesbrands position performs unexpectedly, Diamondrock Hospitality 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 Diamondrock Hospitality will offset losses from the drop in Diamondrock Hospitality'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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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