Correlation Between Bezeq Israeli and Almogim Holdings
Can any of the company-specific risk be diversified away by investing in both Bezeq Israeli and Almogim Holdings 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 Bezeq Israeli and Almogim Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bezeq Israeli Telecommunication and Almogim Holdings, you can compare the effects of market volatilities on Bezeq Israeli and Almogim Holdings 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 Bezeq Israeli with a short position of Almogim Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bezeq Israeli and Almogim Holdings.
Diversification Opportunities for Bezeq Israeli and Almogim Holdings
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bezeq and Almogim is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Bezeq Israeli Telecommunicatio and Almogim Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Almogim Holdings and Bezeq Israeli 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 Bezeq Israeli Telecommunication are associated (or correlated) with Almogim Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Almogim Holdings has no effect on the direction of Bezeq Israeli i.e., Bezeq Israeli and Almogim Holdings go up and down completely randomly.
Pair Corralation between Bezeq Israeli and Almogim Holdings
Assuming the 90 days trading horizon Bezeq Israeli is expected to generate 344.5 times less return on investment than Almogim Holdings. But when comparing it to its historical volatility, Bezeq Israeli Telecommunication is 1.43 times less risky than Almogim Holdings. It trades about 0.0 of its potential returns per unit of risk. Almogim Holdings is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 54,241 in Almogim Holdings on September 29, 2024 and sell it today you would earn a total of 53,459 from holding Almogim Holdings or generate 98.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bezeq Israeli Telecommunicatio vs. Almogim Holdings
Performance |
Timeline |
Bezeq Israeli Teleco |
Almogim Holdings |
Bezeq Israeli and Almogim Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bezeq Israeli and Almogim Holdings
The main advantage of trading using opposite Bezeq Israeli and Almogim Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bezeq Israeli position performs unexpectedly, Almogim Holdings 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 Almogim Holdings will offset losses from the drop in Almogim Holdings' long position.Bezeq Israeli vs. Aquarius Engines AM | Bezeq Israeli vs. BioLight Life Sciences | Bezeq Israeli vs. Infimer | Bezeq Israeli vs. GP Global Power |
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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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