Correlation Between Clal Insurance and Aura Investments
Can any of the company-specific risk be diversified away by investing in both Clal Insurance and Aura Investments 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 Aura Investments 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 Aura Investments, you can compare the effects of market volatilities on Clal Insurance and Aura Investments 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 Aura Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clal Insurance and Aura Investments.
Diversification Opportunities for Clal Insurance and Aura Investments
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Clal and Aura is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Clal Insurance Enterprises and Aura Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aura Investments 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 Aura Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aura Investments has no effect on the direction of Clal Insurance i.e., Clal Insurance and Aura Investments go up and down completely randomly.
Pair Corralation between Clal Insurance and Aura Investments
Assuming the 90 days trading horizon Clal Insurance Enterprises is expected to generate 0.9 times more return on investment than Aura Investments. However, Clal Insurance Enterprises is 1.12 times less risky than Aura Investments. It trades about 0.47 of its potential returns per unit of risk. Aura Investments is currently generating about 0.25 per unit of risk. If you would invest 558,023 in Clal Insurance Enterprises on September 17, 2024 and sell it today you would earn a total of 301,977 from holding Clal Insurance Enterprises or generate 54.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 97.87% |
Values | Daily Returns |
Clal Insurance Enterprises vs. Aura Investments
Performance |
Timeline |
Clal Insurance Enter |
Aura Investments |
Clal Insurance and Aura Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clal Insurance and Aura Investments
The main advantage of trading using opposite Clal Insurance and Aura Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clal Insurance position performs unexpectedly, Aura Investments 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 Aura Investments will offset losses from the drop in Aura Investments' long position.Clal Insurance vs. Migdal Insurance | Clal Insurance vs. Harel Insurance Investments | Clal Insurance vs. Israel Discount Bank | Clal Insurance vs. Bank Hapoalim |
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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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