Correlation Between Libra Insurance and Gilat Telecom
Can any of the company-specific risk be diversified away by investing in both Libra Insurance and Gilat Telecom 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 Gilat Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Libra Insurance and Gilat Telecom Global, you can compare the effects of market volatilities on Libra Insurance and Gilat Telecom 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 Gilat Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Libra Insurance and Gilat Telecom.
Diversification Opportunities for Libra Insurance and Gilat Telecom
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Libra and Gilat is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Libra Insurance and Gilat Telecom Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gilat Telecom Global 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 Gilat Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gilat Telecom Global has no effect on the direction of Libra Insurance i.e., Libra Insurance and Gilat Telecom go up and down completely randomly.
Pair Corralation between Libra Insurance and Gilat Telecom
Assuming the 90 days trading horizon Libra Insurance is expected to generate 1.37 times more return on investment than Gilat Telecom. However, Libra Insurance is 1.37 times more volatile than Gilat Telecom Global. It trades about 0.18 of its potential returns per unit of risk. Gilat Telecom Global is currently generating about -0.06 per unit of risk. If you would invest 105,900 in Libra Insurance on December 29, 2024 and sell it today you would earn a total of 32,200 from holding Libra Insurance or generate 30.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Libra Insurance vs. Gilat Telecom Global
Performance |
Timeline |
Libra Insurance |
Gilat Telecom Global |
Libra Insurance and Gilat Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Libra Insurance and Gilat Telecom
The main advantage of trading using opposite Libra Insurance and Gilat Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Libra Insurance position performs unexpectedly, Gilat Telecom 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 Gilat Telecom will offset losses from the drop in Gilat Telecom's long position.Libra Insurance vs. Direct Capital Investments | Libra Insurance vs. Meitav Dash Investments | Libra Insurance vs. ICL Israel Chemicals | Libra Insurance vs. Electreon Wireless |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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