Correlation Between Citi Trends and Atmofizer Technologies
Can any of the company-specific risk be diversified away by investing in both Citi Trends and Atmofizer Technologies 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 Atmofizer Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citi Trends and Atmofizer Technologies, you can compare the effects of market volatilities on Citi Trends and Atmofizer Technologies 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 Atmofizer Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citi Trends and Atmofizer Technologies.
Diversification Opportunities for Citi Trends and Atmofizer Technologies
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Citi and Atmofizer is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Citi Trends and Atmofizer Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atmofizer Technologies 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 Atmofizer Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atmofizer Technologies has no effect on the direction of Citi Trends i.e., Citi Trends and Atmofizer Technologies go up and down completely randomly.
Pair Corralation between Citi Trends and Atmofizer Technologies
Given the investment horizon of 90 days Citi Trends is expected to generate 1.47 times less return on investment than Atmofizer Technologies. But when comparing it to its historical volatility, Citi Trends is 4.44 times less risky than Atmofizer Technologies. It trades about 0.19 of its potential returns per unit of risk. Atmofizer Technologies is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 7.36 in Atmofizer Technologies on September 29, 2024 and sell it today you would lose (1.36) from holding Atmofizer Technologies or give up 18.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Citi Trends vs. Atmofizer Technologies
Performance |
Timeline |
Citi Trends |
Atmofizer Technologies |
Citi Trends and Atmofizer Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citi Trends and Atmofizer Technologies
The main advantage of trading using opposite Citi Trends and Atmofizer Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citi Trends position performs unexpectedly, Atmofizer Technologies 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 Atmofizer Technologies will offset losses from the drop in Atmofizer Technologies' long position.Citi Trends vs. Macys Inc | Citi Trends vs. Wayfair | Citi Trends vs. 1StdibsCom | Citi Trends vs. AutoNation |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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