Correlation Between Delek Logistics and Chicago Atlantic
Can any of the company-specific risk be diversified away by investing in both Delek Logistics and Chicago Atlantic 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 Delek Logistics and Chicago Atlantic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Delek Logistics Partners and Chicago Atlantic BDC,, you can compare the effects of market volatilities on Delek Logistics and Chicago Atlantic 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 Delek Logistics with a short position of Chicago Atlantic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Delek Logistics and Chicago Atlantic.
Diversification Opportunities for Delek Logistics and Chicago Atlantic
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Delek and Chicago is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Delek Logistics Partners and Chicago Atlantic BDC, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chicago Atlantic BDC, and Delek Logistics 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 Delek Logistics Partners are associated (or correlated) with Chicago Atlantic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chicago Atlantic BDC, has no effect on the direction of Delek Logistics i.e., Delek Logistics and Chicago Atlantic go up and down completely randomly.
Pair Corralation between Delek Logistics and Chicago Atlantic
Considering the 90-day investment horizon Delek Logistics Partners is expected to generate 0.68 times more return on investment than Chicago Atlantic. However, Delek Logistics Partners is 1.46 times less risky than Chicago Atlantic. It trades about 0.12 of its potential returns per unit of risk. Chicago Atlantic BDC, is currently generating about -0.04 per unit of risk. If you would invest 3,898 in Delek Logistics Partners on December 19, 2024 and sell it today you would earn a total of 379.00 from holding Delek Logistics Partners or generate 9.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Delek Logistics Partners vs. Chicago Atlantic BDC,
Performance |
Timeline |
Delek Logistics Partners |
Chicago Atlantic BDC, |
Delek Logistics and Chicago Atlantic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Delek Logistics and Chicago Atlantic
The main advantage of trading using opposite Delek Logistics and Chicago Atlantic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Delek Logistics position performs unexpectedly, Chicago Atlantic 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 Chicago Atlantic will offset losses from the drop in Chicago Atlantic's long position.Delek Logistics vs. CVR Energy | Delek Logistics vs. PBF Energy | Delek Logistics vs. HF Sinclair Corp | Delek Logistics vs. Par Pacific Holdings |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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