Correlation Between Delek Automotive and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Delek Automotive and Dow Jones 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 Automotive and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Delek Automotive Systems and Dow Jones Industrial, you can compare the effects of market volatilities on Delek Automotive and Dow Jones 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 Automotive with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Delek Automotive and Dow Jones.
Diversification Opportunities for Delek Automotive and Dow Jones
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Delek and Dow is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Delek Automotive Systems and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Delek Automotive 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 Automotive Systems are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Delek Automotive i.e., Delek Automotive and Dow Jones go up and down completely randomly.
Pair Corralation between Delek Automotive and Dow Jones
Assuming the 90 days trading horizon Delek Automotive Systems is expected to generate 3.27 times more return on investment than Dow Jones. However, Delek Automotive is 3.27 times more volatile than Dow Jones Industrial. It trades about 0.17 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.19 per unit of risk. If you would invest 229,700 in Delek Automotive Systems on September 4, 2024 and sell it today you would earn a total of 44,200 from holding Delek Automotive Systems or generate 19.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 73.02% |
Values | Daily Returns |
Delek Automotive Systems vs. Dow Jones Industrial
Performance |
Timeline |
Delek Automotive and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Delek Automotive Systems
Pair trading matchups for Delek Automotive
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Delek Automotive and Dow Jones
The main advantage of trading using opposite Delek Automotive and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Delek Automotive position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Delek Automotive vs. Alony Hetz Properties | Delek Automotive vs. Harel Insurance Investments | Delek Automotive vs. Delek Group | Delek Automotive vs. Migdal Insurance |
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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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