Correlation Between Contextlogic and JD Sports
Can any of the company-specific risk be diversified away by investing in both Contextlogic 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 Contextlogic and JD Sports into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Contextlogic and JD Sports Fashion, you can compare the effects of market volatilities on Contextlogic 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 Contextlogic with a short position of JD Sports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Contextlogic and JD Sports.
Diversification Opportunities for Contextlogic and JD Sports
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Contextlogic and JDSPY is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Contextlogic 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 Contextlogic 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 Contextlogic 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 Contextlogic i.e., Contextlogic and JD Sports go up and down completely randomly.
Pair Corralation between Contextlogic and JD Sports
Given the investment horizon of 90 days Contextlogic is expected to under-perform the JD Sports. In addition to that, Contextlogic is 1.36 times more volatile than JD Sports Fashion. It trades about -0.08 of its total potential returns per unit of risk. JD Sports Fashion is currently generating about 0.05 per unit of volatility. If you would invest 113.00 in JD Sports Fashion on May 25, 2025 and sell it today you would earn a total of 8.00 from holding JD Sports Fashion or generate 7.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 30.65% |
Values | Daily Returns |
Contextlogic vs. JD Sports Fashion
Performance |
Timeline |
Contextlogic |
Risk-Adjusted Performance
Weakest
Weak | Strong |
JD Sports Fashion |
Contextlogic and JD Sports Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Contextlogic and JD Sports
The main advantage of trading using opposite Contextlogic and JD Sports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Contextlogic 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.Contextlogic vs. Hudson Technologies | Contextlogic vs. NL Industries | Contextlogic vs. JD Sports Fashion | Contextlogic vs. Brunswick |
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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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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