Correlation Between JD Sports and Citi Trends
Can any of the company-specific risk be diversified away by investing in both JD Sports and Citi Trends 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 Citi Trends 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 Citi Trends, you can compare the effects of market volatilities on JD Sports and Citi Trends 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 Citi Trends. Check out your portfolio center. Please also check ongoing floating volatility patterns of JD Sports and Citi Trends.
Diversification Opportunities for JD Sports and Citi Trends
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between JDDSF and Citi is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding JD Sports Fashion and Citi Trends in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Citi Trends 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 Citi Trends. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Citi Trends has no effect on the direction of JD Sports i.e., JD Sports and Citi Trends go up and down completely randomly.
Pair Corralation between JD Sports and Citi Trends
Assuming the 90 days horizon JD Sports Fashion is expected to under-perform the Citi Trends. But the pink sheet apears to be less risky and, when comparing its historical volatility, JD Sports Fashion is 1.32 times less risky than Citi Trends. The pink sheet trades about -0.04 of its potential returns per unit of risk. The Citi Trends is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 1,839 in Citi Trends on September 25, 2024 and sell it today you would earn a total of 684.00 from holding Citi Trends or generate 37.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
JD Sports Fashion vs. Citi Trends
Performance |
Timeline |
JD Sports Fashion |
Citi Trends |
JD Sports and Citi Trends Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JD Sports and Citi Trends
The main advantage of trading using opposite JD Sports and Citi Trends positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JD Sports position performs unexpectedly, Citi Trends 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 Citi Trends will offset losses from the drop in Citi Trends' long position.JD Sports vs. Ulta Beauty | JD Sports vs. Best Buy Co | JD Sports vs. Dicks Sporting Goods | JD Sports vs. RH |
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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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
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