Correlation Between Clal Insurance and Big Shopping
Can any of the company-specific risk be diversified away by investing in both Clal Insurance and Big Shopping 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 Clal Insurance and Big Shopping into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Clal Insurance Enterprises and Big Shopping Centers, you can compare the effects of market volatilities on Clal Insurance and Big Shopping 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 Clal Insurance with a short position of Big Shopping. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clal Insurance and Big Shopping.
Diversification Opportunities for Clal Insurance and Big Shopping
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Clal and Big is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Clal Insurance Enterprises and Big Shopping Centers in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Big Shopping Centers and Clal Insurance 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 Clal Insurance Enterprises are associated (or correlated) with Big Shopping. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Big Shopping Centers has no effect on the direction of Clal Insurance i.e., Clal Insurance and Big Shopping go up and down completely randomly.
Pair Corralation between Clal Insurance and Big Shopping
Assuming the 90 days trading horizon Clal Insurance is expected to generate 1.13 times less return on investment than Big Shopping. In addition to that, Clal Insurance is 1.1 times more volatile than Big Shopping Centers. It trades about 0.07 of its total potential returns per unit of risk. Big Shopping Centers is currently generating about 0.09 per unit of volatility. If you would invest 3,035,000 in Big Shopping Centers on August 27, 2024 and sell it today you would earn a total of 1,430,000 from holding Big Shopping Centers or generate 47.12% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Clal Insurance Enterprises vs. Big Shopping Centers
Performance |
| Timeline |
| Clal Insurance Enter |
| Big Shopping Centers |
Clal Insurance and Big Shopping Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Clal Insurance and Big Shopping
The main advantage of trading using opposite Clal Insurance and Big Shopping positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clal Insurance position performs unexpectedly, Big Shopping 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 Big Shopping will offset losses from the drop in Big Shopping's long position.| Clal Insurance vs. Bank Hapoalim | Clal Insurance vs. Israel Discount Bank | Clal Insurance vs. Bezeq Israeli Telecommunication | Clal Insurance vs. Elbit Systems |
| Big Shopping vs. Azrieli Group | Big Shopping vs. Melisron | Big Shopping vs. Amot Investments | Big Shopping vs. Alony Hetz Properties |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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