Correlation Between JD SPORTS and United Utilities
Can any of the company-specific risk be diversified away by investing in both JD SPORTS and United Utilities 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 United Utilities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JD SPORTS FASH and United Utilities Group, you can compare the effects of market volatilities on JD SPORTS and United Utilities 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 United Utilities. Check out your portfolio center. Please also check ongoing floating volatility patterns of JD SPORTS and United Utilities.
Diversification Opportunities for JD SPORTS and United Utilities
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 9JD and United is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding JD SPORTS FASH and United Utilities Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Utilities 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 FASH are associated (or correlated) with United Utilities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Utilities has no effect on the direction of JD SPORTS i.e., JD SPORTS and United Utilities go up and down completely randomly.
Pair Corralation between JD SPORTS and United Utilities
Assuming the 90 days horizon JD SPORTS FASH is expected to under-perform the United Utilities. In addition to that, JD SPORTS is 1.61 times more volatile than United Utilities Group. It trades about -0.1 of its total potential returns per unit of risk. United Utilities Group is currently generating about -0.04 per unit of volatility. If you would invest 1,260 in United Utilities Group on December 28, 2024 and sell it today you would lose (80.00) from holding United Utilities Group or give up 6.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
JD SPORTS FASH vs. United Utilities Group
Performance |
Timeline |
JD SPORTS FASH |
United Utilities |
JD SPORTS and United Utilities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JD SPORTS and United Utilities
The main advantage of trading using opposite JD SPORTS and United Utilities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JD SPORTS position performs unexpectedly, United Utilities 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 United Utilities will offset losses from the drop in United Utilities' long position.JD SPORTS vs. ELECTRONIC ARTS | JD SPORTS vs. ARROW ELECTRONICS | JD SPORTS vs. STMicroelectronics NV | JD SPORTS vs. Maple Leaf Foods |
United Utilities vs. Infrastrutture Wireless Italiane | United Utilities vs. KENEDIX OFFICE INV | United Utilities vs. Nexstar Media Group | United Utilities vs. Scandic Hotels Group |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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