Correlation Between Migdal Insurance and Allot Communications
Can any of the company-specific risk be diversified away by investing in both Migdal Insurance and Allot Communications 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 Migdal Insurance and Allot Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Migdal Insurance and Allot Communications, you can compare the effects of market volatilities on Migdal Insurance and Allot Communications 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 Migdal Insurance with a short position of Allot Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Migdal Insurance and Allot Communications.
Diversification Opportunities for Migdal Insurance and Allot Communications
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Migdal and Allot is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Migdal Insurance and Allot Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Allot Communications and Migdal 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 Migdal Insurance are associated (or correlated) with Allot Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Allot Communications has no effect on the direction of Migdal Insurance i.e., Migdal Insurance and Allot Communications go up and down completely randomly.
Pair Corralation between Migdal Insurance and Allot Communications
Assuming the 90 days trading horizon Migdal Insurance is expected to generate 2.24 times less return on investment than Allot Communications. But when comparing it to its historical volatility, Migdal Insurance is 3.15 times less risky than Allot Communications. It trades about 0.37 of its potential returns per unit of risk. Allot Communications is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 109,500 in Allot Communications on September 30, 2024 and sell it today you would earn a total of 82,500 from holding Allot Communications or generate 75.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Migdal Insurance vs. Allot Communications
Performance |
Timeline |
Migdal Insurance |
Allot Communications |
Migdal Insurance and Allot Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Migdal Insurance and Allot Communications
The main advantage of trading using opposite Migdal Insurance and Allot Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Migdal Insurance position performs unexpectedly, Allot Communications 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 Allot Communications will offset losses from the drop in Allot Communications' long position.Migdal Insurance vs. Clal Insurance Enterprises | Migdal Insurance vs. Bank Hapoalim | Migdal Insurance vs. Menora Miv Hld |
Allot Communications vs. Nice | Allot Communications vs. Tower Semiconductor | Allot Communications vs. Elbit Systems | Allot Communications vs. Nova |
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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