Correlation Between JD Sports and Super League
Can any of the company-specific risk be diversified away by investing in both JD Sports and Super League 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 JD Sports and Super League into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JD Sports Fashion and Super League Enterprise, you can compare the effects of market volatilities on JD Sports and Super League 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 JD Sports with a short position of Super League. Check out your portfolio center. Please also check ongoing floating volatility patterns of JD Sports and Super League.
Diversification Opportunities for JD Sports and Super League
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between JDSPY and Super is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding JD Sports Fashion and Super League Enterprise in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Super League Enterprise and JD Sports 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 JD Sports Fashion are associated (or correlated) with Super League. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Super League Enterprise has no effect on the direction of JD Sports i.e., JD Sports and Super League go up and down completely randomly.
Pair Corralation between JD Sports and Super League
Assuming the 90 days horizon JD Sports Fashion is expected to under-perform the Super League. But the pink sheet apears to be less risky and, when comparing its historical volatility, JD Sports Fashion is 1.28 times less risky than Super League. The pink sheet trades about -0.08 of its potential returns per unit of risk. The Super League Enterprise is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 59.00 in Super League Enterprise on October 23, 2024 and sell it today you would earn a total of 2.00 from holding Super League Enterprise or generate 3.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
JD Sports Fashion vs. Super League Enterprise
Performance |
Timeline |
JD Sports Fashion |
Super League Enterprise |
JD Sports and Super League Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JD Sports and Super League
The main advantage of trading using opposite JD Sports and Super League positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JD Sports position performs unexpectedly, Super League 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 Super League will offset losses from the drop in Super League's long position.JD Sports vs. Burlington Stores | JD Sports vs. Childrens Place | JD Sports vs. Buckle Inc | JD Sports vs. Shoe Carnival |
Super League vs. NuRAN Wireless | Super League vs. Pinterest | Super League vs. National CineMedia | Super League vs. Rogers |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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