Correlation Between Lulus Fashion and Citi Trends
Can any of the company-specific risk be diversified away by investing in both Lulus Fashion 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 Lulus Fashion and Citi Trends into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lulus Fashion Lounge and Citi Trends, you can compare the effects of market volatilities on Lulus Fashion 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 Lulus Fashion with a short position of Citi Trends. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lulus Fashion and Citi Trends.
Diversification Opportunities for Lulus Fashion and Citi Trends
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lulus and Citi is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Lulus Fashion Lounge and Citi Trends in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Citi Trends and Lulus Fashion 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 Lulus Fashion Lounge 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 Lulus Fashion i.e., Lulus Fashion and Citi Trends go up and down completely randomly.
Pair Corralation between Lulus Fashion and Citi Trends
Given the investment horizon of 90 days Lulus Fashion Lounge is expected to under-perform the Citi Trends. In addition to that, Lulus Fashion is 2.77 times more volatile than Citi Trends. It trades about -0.07 of its total potential returns per unit of risk. Citi Trends is currently generating about -0.03 per unit of volatility. If you would invest 1,991 in Citi Trends on August 28, 2024 and sell it today you would lose (76.00) from holding Citi Trends or give up 3.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lulus Fashion Lounge vs. Citi Trends
Performance |
Timeline |
Lulus Fashion Lounge |
Citi Trends |
Lulus Fashion and Citi Trends Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lulus Fashion and Citi Trends
The main advantage of trading using opposite Lulus Fashion and Citi Trends positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lulus Fashion 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.Lulus Fashion vs. Citi Trends | Lulus Fashion vs. Tillys Inc | Lulus Fashion vs. Zumiez Inc | Lulus Fashion vs. JJill Inc |
Citi Trends vs. JJill Inc | Citi Trends vs. Zumiez Inc | Citi Trends vs. Tillys Inc | Citi Trends vs. Duluth Holdings |
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.
Other Complementary Tools
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings |