Correlation Between Delek Logistics and Catalent
Can any of the company-specific risk be diversified away by investing in both Delek Logistics and Catalent 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 Catalent 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 Catalent, you can compare the effects of market volatilities on Delek Logistics and Catalent 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 Catalent. Check out your portfolio center. Please also check ongoing floating volatility patterns of Delek Logistics and Catalent.
Diversification Opportunities for Delek Logistics and Catalent
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Delek and Catalent is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Delek Logistics Partners and Catalent in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalent 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 Catalent. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalent has no effect on the direction of Delek Logistics i.e., Delek Logistics and Catalent go up and down completely randomly.
Pair Corralation between Delek Logistics and Catalent
Considering the 90-day investment horizon Delek Logistics is expected to generate 1.5 times less return on investment than Catalent. In addition to that, Delek Logistics is 2.69 times more volatile than Catalent. It trades about 0.04 of its total potential returns per unit of risk. Catalent is currently generating about 0.18 per unit of volatility. If you would invest 5,623 in Catalent on September 26, 2024 and sell it today you would earn a total of 725.00 from holding Catalent or generate 12.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 96.03% |
Values | Daily Returns |
Delek Logistics Partners vs. Catalent
Performance |
Timeline |
Delek Logistics Partners |
Catalent |
Delek Logistics and Catalent Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Delek Logistics and Catalent
The main advantage of trading using opposite Delek Logistics and Catalent positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Delek Logistics position performs unexpectedly, Catalent 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 Catalent will offset losses from the drop in Catalent'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 |
Catalent vs. IQVIA Holdings | Catalent vs. West Pharmaceutical Services | Catalent vs. Charles River Laboratories | Catalent vs. Bio Rad Laboratories |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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