Correlation Between Citi Trends and SEI Investments
Can any of the company-specific risk be diversified away by investing in both Citi Trends and SEI Investments 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 Citi Trends and SEI Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citi Trends and SEI Investments, you can compare the effects of market volatilities on Citi Trends and SEI Investments 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 Citi Trends with a short position of SEI Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citi Trends and SEI Investments.
Diversification Opportunities for Citi Trends and SEI Investments
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Citi and SEI is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Citi Trends and SEI Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEI Investments and Citi Trends 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 Citi Trends are associated (or correlated) with SEI Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEI Investments has no effect on the direction of Citi Trends i.e., Citi Trends and SEI Investments go up and down completely randomly.
Pair Corralation between Citi Trends and SEI Investments
Given the investment horizon of 90 days Citi Trends is expected to generate 1.29 times less return on investment than SEI Investments. In addition to that, Citi Trends is 2.83 times more volatile than SEI Investments. It trades about 0.05 of its total potential returns per unit of risk. SEI Investments is currently generating about 0.19 per unit of volatility. If you would invest 6,443 in SEI Investments on September 12, 2024 and sell it today you would earn a total of 2,099 from holding SEI Investments or generate 32.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.2% |
Values | Daily Returns |
Citi Trends vs. SEI Investments
Performance |
Timeline |
Citi Trends |
SEI Investments |
Citi Trends and SEI Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citi Trends and SEI Investments
The main advantage of trading using opposite Citi Trends and SEI Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citi Trends position performs unexpectedly, SEI Investments 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 SEI Investments will offset losses from the drop in SEI Investments' long position.Citi Trends vs. Foot Locker | Citi Trends vs. Lands End | Citi Trends vs. Duluth Holdings | Citi Trends vs. Destination XL Group |
SEI Investments vs. Gladstone Investment | SEI Investments vs. Stellus Capital Investment | SEI Investments vs. Prospect Capital | SEI Investments vs. Gladstone Capital |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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