Correlation Between Alliance Data and Greenland Hong
Can any of the company-specific risk be diversified away by investing in both Alliance Data and Greenland Hong 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 Alliance Data and Greenland Hong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alliance Data Systems and Greenland Hong Kong, you can compare the effects of market volatilities on Alliance Data and Greenland Hong 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 Alliance Data with a short position of Greenland Hong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alliance Data and Greenland Hong.
Diversification Opportunities for Alliance Data and Greenland Hong
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Alliance and Greenland is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Alliance Data Systems and Greenland Hong Kong in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Greenland Hong Kong and Alliance Data 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 Alliance Data Systems are associated (or correlated) with Greenland Hong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Greenland Hong Kong has no effect on the direction of Alliance Data i.e., Alliance Data and Greenland Hong go up and down completely randomly.
Pair Corralation between Alliance Data and Greenland Hong
Assuming the 90 days trading horizon Alliance Data Systems is expected to generate 0.48 times more return on investment than Greenland Hong. However, Alliance Data Systems is 2.07 times less risky than Greenland Hong. It trades about 0.17 of its potential returns per unit of risk. Greenland Hong Kong is currently generating about -0.06 per unit of risk. If you would invest 4,677 in Alliance Data Systems on October 26, 2024 and sell it today you would earn a total of 1,565 from holding Alliance Data Systems or generate 33.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
Alliance Data Systems vs. Greenland Hong Kong
Performance |
Timeline |
Alliance Data Systems |
Greenland Hong Kong |
Alliance Data and Greenland Hong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alliance Data and Greenland Hong
The main advantage of trading using opposite Alliance Data and Greenland Hong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alliance Data position performs unexpectedly, Greenland Hong 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 Greenland Hong will offset losses from the drop in Greenland Hong's long position.Alliance Data vs. Apple Inc | Alliance Data vs. Apple Inc | Alliance Data vs. Apple Inc | Alliance Data vs. Apple Inc |
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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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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