Correlation Between B Communications and Menif Financial
Can any of the company-specific risk be diversified away by investing in both B Communications and Menif Financial 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 B Communications and Menif Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between B Communications and Menif Financial Services, you can compare the effects of market volatilities on B Communications and Menif Financial 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 B Communications with a short position of Menif Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of B Communications and Menif Financial.
Diversification Opportunities for B Communications and Menif Financial
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between BCOM and Menif is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding B Communications and Menif Financial Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Menif Financial Services and B Communications 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 B Communications are associated (or correlated) with Menif Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Menif Financial Services has no effect on the direction of B Communications i.e., B Communications and Menif Financial go up and down completely randomly.
Pair Corralation between B Communications and Menif Financial
Assuming the 90 days trading horizon B Communications is expected to generate 1.34 times more return on investment than Menif Financial. However, B Communications is 1.34 times more volatile than Menif Financial Services. It trades about 0.43 of its potential returns per unit of risk. Menif Financial Services is currently generating about 0.19 per unit of risk. If you would invest 118,300 in B Communications on September 13, 2024 and sell it today you would earn a total of 58,800 from holding B Communications or generate 49.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
B Communications vs. Menif Financial Services
Performance |
Timeline |
B Communications |
Menif Financial Services |
B Communications and Menif Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with B Communications and Menif Financial
The main advantage of trading using opposite B Communications and Menif Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if B Communications position performs unexpectedly, Menif Financial 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 Menif Financial will offset losses from the drop in Menif Financial's long position.B Communications vs. Bezeq Israeli Telecommunication | B Communications vs. Tower Semiconductor | B Communications vs. Israel Discount Bank | B Communications vs. Photomyne |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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