Correlation Between Libra Insurance and Clal Insurance
Can any of the company-specific risk be diversified away by investing in both Libra Insurance and Clal Insurance 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 Libra Insurance and Clal Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Libra Insurance and Clal Insurance Enterprises, you can compare the effects of market volatilities on Libra Insurance and Clal Insurance 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 Libra Insurance with a short position of Clal Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Libra Insurance and Clal Insurance.
Diversification Opportunities for Libra Insurance and Clal Insurance
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Libra and Clal is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Libra Insurance and Clal Insurance Enterprises in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clal Insurance Enter and Libra 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 Libra Insurance are associated (or correlated) with Clal Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clal Insurance Enter has no effect on the direction of Libra Insurance i.e., Libra Insurance and Clal Insurance go up and down completely randomly.
Pair Corralation between Libra Insurance and Clal Insurance
Assuming the 90 days trading horizon Libra Insurance is expected to generate 7.22 times less return on investment than Clal Insurance. In addition to that, Libra Insurance is 1.01 times more volatile than Clal Insurance Enterprises. It trades about 0.06 of its total potential returns per unit of risk. Clal Insurance Enterprises is currently generating about 0.42 per unit of volatility. If you would invest 882,594 in Clal Insurance Enterprises on April 22, 2025 and sell it today you would earn a total of 783,406 from holding Clal Insurance Enterprises or generate 88.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Libra Insurance vs. Clal Insurance Enterprises
Performance |
Timeline |
Libra Insurance |
Clal Insurance Enter |
Libra Insurance and Clal Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Libra Insurance and Clal Insurance
The main advantage of trading using opposite Libra Insurance and Clal Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Libra Insurance position performs unexpectedly, Clal Insurance 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 Clal Insurance will offset losses from the drop in Clal Insurance's long position.Libra Insurance vs. Oron Group Investments | Libra Insurance vs. More Mutual Funds | Libra Insurance vs. Isras Investment | Libra Insurance vs. Scope Metals Group |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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