Correlation Between Citi Trends and Western Midstream
Can any of the company-specific risk be diversified away by investing in both Citi Trends and Western Midstream 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 Western Midstream into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citi Trends and Western Midstream Partners, you can compare the effects of market volatilities on Citi Trends and Western Midstream 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 Western Midstream. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citi Trends and Western Midstream.
Diversification Opportunities for Citi Trends and Western Midstream
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Citi and Western is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Citi Trends and Western Midstream Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Western Midstream 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 Western Midstream. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Western Midstream has no effect on the direction of Citi Trends i.e., Citi Trends and Western Midstream go up and down completely randomly.
Pair Corralation between Citi Trends and Western Midstream
Given the investment horizon of 90 days Citi Trends is expected to generate 2.32 times more return on investment than Western Midstream. However, Citi Trends is 2.32 times more volatile than Western Midstream Partners. It trades about 0.04 of its potential returns per unit of risk. Western Midstream Partners is currently generating about 0.06 per unit of risk. If you would invest 2,199 in Citi Trends on September 15, 2024 and sell it today you would earn a total of 279.00 from holding Citi Trends or generate 12.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Citi Trends vs. Western Midstream Partners
Performance |
Timeline |
Citi Trends |
Western Midstream |
Citi Trends and Western Midstream Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citi Trends and Western Midstream
The main advantage of trading using opposite Citi Trends and Western Midstream positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citi Trends position performs unexpectedly, Western Midstream 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 Western Midstream will offset losses from the drop in Western Midstream's long position.Citi Trends vs. Capri Holdings | Citi Trends vs. Movado Group | Citi Trends vs. Tapestry | Citi Trends vs. Brilliant Earth Group |
Western Midstream vs. DT Midstream | Western Midstream vs. MPLX LP | Western Midstream vs. Plains All American | Western Midstream vs. Genesis Energy LP |
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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