Correlation Between Guess and JD Sports
Can any of the company-specific risk be diversified away by investing in both Guess 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 Guess and JD Sports into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guess Inc and JD Sports Fashion, you can compare the effects of market volatilities on Guess 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 Guess with a short position of JD Sports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guess and JD Sports.
Diversification Opportunities for Guess and JD Sports
Very poor diversification
The 3 months correlation between Guess and JDSPY is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Guess Inc 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 Guess 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 Guess Inc 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 Guess i.e., Guess and JD Sports go up and down completely randomly.
Pair Corralation between Guess and JD Sports
Considering the 90-day investment horizon Guess Inc is expected to generate 0.54 times more return on investment than JD Sports. However, Guess Inc is 1.86 times less risky than JD Sports. It trades about -0.06 of its potential returns per unit of risk. JD Sports Fashion is currently generating about -0.08 per unit of risk. If you would invest 1,903 in Guess Inc on September 5, 2024 and sell it today you would lose (175.00) from holding Guess Inc or give up 9.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Guess Inc vs. JD Sports Fashion
Performance |
Timeline |
Guess Inc |
JD Sports Fashion |
Guess and JD Sports Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guess and JD Sports
The main advantage of trading using opposite Guess and JD Sports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guess 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.The idea behind Guess Inc and JD Sports Fashion pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.JD Sports vs. Burlington Stores | JD Sports vs. Childrens Place | JD Sports vs. Buckle Inc | JD Sports vs. Shoe Carnival |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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