Correlation Between Migdal Insurance and Al Bad
Can any of the company-specific risk be diversified away by investing in both Migdal Insurance and Al Bad 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 Al Bad into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Migdal Insurance and Al Bad Massuot Yitzhak, you can compare the effects of market volatilities on Migdal Insurance and Al Bad 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 Al Bad. Check out your portfolio center. Please also check ongoing floating volatility patterns of Migdal Insurance and Al Bad.
Diversification Opportunities for Migdal Insurance and Al Bad
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Migdal and ALBA is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Migdal Insurance and Al Bad Massuot Yitzhak in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Al Bad Massuot 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 Al Bad. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Al Bad Massuot has no effect on the direction of Migdal Insurance i.e., Migdal Insurance and Al Bad go up and down completely randomly.
Pair Corralation between Migdal Insurance and Al Bad
Assuming the 90 days trading horizon Migdal Insurance is expected to generate 0.63 times more return on investment than Al Bad. However, Migdal Insurance is 1.58 times less risky than Al Bad. It trades about 0.53 of its potential returns per unit of risk. Al Bad Massuot Yitzhak is currently generating about 0.18 per unit of risk. If you would invest 45,890 in Migdal Insurance on September 13, 2024 and sell it today you would earn a total of 22,410 from holding Migdal Insurance or generate 48.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 97.83% |
Values | Daily Returns |
Migdal Insurance vs. Al Bad Massuot Yitzhak
Performance |
Timeline |
Migdal Insurance |
Al Bad Massuot |
Migdal Insurance and Al Bad Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Migdal Insurance and Al Bad
The main advantage of trading using opposite Migdal Insurance and Al Bad positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Migdal Insurance position performs unexpectedly, Al Bad 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 Al Bad will offset losses from the drop in Al Bad's long position.Migdal Insurance vs. Bank Hapoalim | Migdal Insurance vs. Israel Discount Bank | Migdal Insurance vs. Mizrahi Tefahot | Migdal Insurance vs. Bezeq Israeli Telecommunication |
Al Bad vs. Alony Hetz Properties | Al Bad vs. Shufersal | Al Bad vs. Delek Automotive Systems | Al Bad vs. Tiv Taam |
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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