Correlation Between Delek Automotive and Alony Hetz
Can any of the company-specific risk be diversified away by investing in both Delek Automotive and Alony Hetz 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 Alony Hetz 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 Alony Hetz Properties, you can compare the effects of market volatilities on Delek Automotive and Alony Hetz 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 Alony Hetz. Check out your portfolio center. Please also check ongoing floating volatility patterns of Delek Automotive and Alony Hetz.
Diversification Opportunities for Delek Automotive and Alony Hetz
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Delek and Alony is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Delek Automotive Systems and Alony Hetz Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alony Hetz Properties 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 Alony Hetz. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alony Hetz Properties has no effect on the direction of Delek Automotive i.e., Delek Automotive and Alony Hetz go up and down completely randomly.
Pair Corralation between Delek Automotive and Alony Hetz
Assuming the 90 days trading horizon Delek Automotive Systems is expected to under-perform the Alony Hetz. But the stock apears to be less risky and, when comparing its historical volatility, Delek Automotive Systems is 1.08 times less risky than Alony Hetz. The stock trades about -0.05 of its potential returns per unit of risk. The Alony Hetz Properties is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 291,751 in Alony Hetz Properties on December 30, 2024 and sell it today you would earn a total of 1,349 from holding Alony Hetz Properties or generate 0.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Delek Automotive Systems vs. Alony Hetz Properties
Performance |
Timeline |
Delek Automotive Systems |
Alony Hetz Properties |
Delek Automotive and Alony Hetz Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Delek Automotive and Alony Hetz
The main advantage of trading using opposite Delek Automotive and Alony Hetz positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Delek Automotive position performs unexpectedly, Alony Hetz 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 Alony Hetz will offset losses from the drop in Alony Hetz's 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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