Correlation Between Alliance Data and JD Sports
Can any of the company-specific risk be diversified away by investing in both Alliance Data and JD Sports 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 JD Sports 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 JD Sports Fashion, you can compare the effects of market volatilities on Alliance Data and JD Sports 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 JD Sports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alliance Data and JD Sports.
Diversification Opportunities for Alliance Data and JD Sports
-0.79 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Alliance and JD Sports is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding Alliance Data Systems and JD Sports Fashion in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JD Sports Fashion 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 JD Sports. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JD Sports Fashion has no effect on the direction of Alliance Data i.e., Alliance Data and JD Sports go up and down completely randomly.
Pair Corralation between Alliance Data and JD Sports
Assuming the 90 days trading horizon Alliance Data Systems is expected to generate 1.06 times more return on investment than JD Sports. However, Alliance Data is 1.06 times more volatile than JD Sports Fashion. It trades about 0.17 of its potential returns per unit of risk. JD Sports Fashion is currently generating about -0.16 per unit of risk. If you would invest 4,751 in Alliance Data Systems on September 12, 2024 and sell it today you would earn a total of 1,727 from holding Alliance Data Systems or generate 36.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 96.92% |
Values | Daily Returns |
Alliance Data Systems vs. JD Sports Fashion
Performance |
Timeline |
Alliance Data Systems |
JD Sports Fashion |
Alliance Data and JD Sports Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alliance Data and JD Sports
The main advantage of trading using opposite Alliance Data and JD Sports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alliance Data position performs unexpectedly, JD Sports 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 JD Sports will offset losses from the drop in JD Sports' long position.Alliance Data vs. Hong Kong Land | Alliance Data vs. Neometals | Alliance Data vs. Coor Service Management | Alliance Data vs. Fidelity Sustainable USD |
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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 Transaction History module to view history of all your transactions and understand their impact on performance.
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