Correlation Between Gilat Telecom and Aura Investments
Can any of the company-specific risk be diversified away by investing in both Gilat Telecom 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 Gilat Telecom and Aura Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gilat Telecom Global and Aura Investments, you can compare the effects of market volatilities on Gilat Telecom 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 Gilat Telecom with a short position of Aura Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gilat Telecom and Aura Investments.
Diversification Opportunities for Gilat Telecom and Aura Investments
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Gilat and Aura is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Gilat Telecom Global and Aura Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aura Investments and Gilat Telecom 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 Gilat Telecom Global 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 Gilat Telecom i.e., Gilat Telecom and Aura Investments go up and down completely randomly.
Pair Corralation between Gilat Telecom and Aura Investments
Assuming the 90 days trading horizon Gilat Telecom Global is expected to generate 0.7 times more return on investment than Aura Investments. However, Gilat Telecom Global is 1.43 times less risky than Aura Investments. It trades about 0.28 of its potential returns per unit of risk. Aura Investments is currently generating about 0.17 per unit of risk. If you would invest 7,520 in Gilat Telecom Global on April 25, 2025 and sell it today you would earn a total of 2,690 from holding Gilat Telecom Global or generate 35.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Gilat Telecom Global vs. Aura Investments
Performance |
Timeline |
Gilat Telecom Global |
Aura Investments |
Gilat Telecom and Aura Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gilat Telecom and Aura Investments
The main advantage of trading using opposite Gilat Telecom and Aura Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gilat Telecom 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.Gilat Telecom vs. Menif Financial Services | Gilat Telecom vs. Automatic Bank Services | Gilat Telecom vs. One Software Technologies | Gilat Telecom vs. G Willi Food International |
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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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