Correlation Between JJill and Lulus Fashion
Can any of the company-specific risk be diversified away by investing in both JJill and Lulus Fashion 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 JJill and Lulus Fashion into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JJill Inc and Lulus Fashion Lounge, you can compare the effects of market volatilities on JJill and Lulus Fashion 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 JJill with a short position of Lulus Fashion. Check out your portfolio center. Please also check ongoing floating volatility patterns of JJill and Lulus Fashion.
Diversification Opportunities for JJill and Lulus Fashion
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between JJill and Lulus is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding JJill Inc and Lulus Fashion Lounge in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lulus Fashion Lounge and JJill 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 JJill Inc are associated (or correlated) with Lulus Fashion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lulus Fashion Lounge has no effect on the direction of JJill i.e., JJill and Lulus Fashion go up and down completely randomly.
Pair Corralation between JJill and Lulus Fashion
Given the investment horizon of 90 days JJill Inc is expected to generate 0.51 times more return on investment than Lulus Fashion. However, JJill Inc is 1.95 times less risky than Lulus Fashion. It trades about 0.0 of its potential returns per unit of risk. Lulus Fashion Lounge is currently generating about 0.0 per unit of risk. If you would invest 2,929 in JJill Inc on September 26, 2024 and sell it today you would lose (302.00) from holding JJill Inc or give up 10.31% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
JJill Inc vs. Lulus Fashion Lounge
Performance |
Timeline |
JJill Inc |
Lulus Fashion Lounge |
JJill and Lulus Fashion Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JJill and Lulus Fashion
The main advantage of trading using opposite JJill and Lulus Fashion positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JJill position performs unexpectedly, Lulus Fashion 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 Lulus Fashion will offset losses from the drop in Lulus Fashion's long position.The idea behind JJill Inc and Lulus Fashion Lounge 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.Lulus Fashion vs. Citi Trends | Lulus Fashion vs. Tillys Inc | Lulus Fashion vs. Zumiez Inc | Lulus Fashion vs. JJill Inc |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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