Correlation Between Migdal Insurance and IBI Inv
Can any of the company-specific risk be diversified away by investing in both Migdal Insurance and IBI Inv 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 IBI Inv into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Migdal Insurance and IBI Inv House, you can compare the effects of market volatilities on Migdal Insurance and IBI Inv 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 IBI Inv. Check out your portfolio center. Please also check ongoing floating volatility patterns of Migdal Insurance and IBI Inv.
Diversification Opportunities for Migdal Insurance and IBI Inv
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Migdal and IBI is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Migdal Insurance and IBI Inv House in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IBI Inv House 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 IBI Inv. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IBI Inv House has no effect on the direction of Migdal Insurance i.e., Migdal Insurance and IBI Inv go up and down completely randomly.
Pair Corralation between Migdal Insurance and IBI Inv
Assuming the 90 days trading horizon Migdal Insurance is expected to generate 1.9 times less return on investment than IBI Inv. In addition to that, Migdal Insurance is 1.07 times more volatile than IBI Inv House. It trades about 0.05 of its total potential returns per unit of risk. IBI Inv House is currently generating about 0.1 per unit of volatility. If you would invest 733,158 in IBI Inv House on August 24, 2024 and sell it today you would earn a total of 802,842 from holding IBI Inv House or generate 109.5% 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. IBI Inv House
Performance |
| Timeline |
| Migdal Insurance |
| IBI Inv House |
Migdal Insurance and IBI Inv Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Migdal Insurance and IBI Inv
The main advantage of trading using opposite Migdal Insurance and IBI Inv positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Migdal Insurance position performs unexpectedly, IBI Inv 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 IBI Inv will offset losses from the drop in IBI Inv's long position.| Migdal Insurance vs. Harel Insurance Investments | Migdal Insurance vs. Clal Insurance Enterprises | Migdal Insurance vs. Bank Hapoalim | Migdal Insurance vs. Bank Leumi Le Israel |
| IBI Inv vs. Homebiogas | IBI Inv vs. Batm Advanced Communications | IBI Inv vs. Gamatronic Electronic Industries | IBI Inv vs. Victory Supermarket Chain |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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