Correlation Between Migdal Insurance and Tel Aviv
Can any of the company-specific risk be diversified away by investing in both Migdal Insurance and Tel Aviv 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 Tel Aviv into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Migdal Insurance and Tel Aviv 35, you can compare the effects of market volatilities on Migdal Insurance and Tel Aviv 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 Tel Aviv. Check out your portfolio center. Please also check ongoing floating volatility patterns of Migdal Insurance and Tel Aviv.
Diversification Opportunities for Migdal Insurance and Tel Aviv
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Migdal and Tel is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Migdal Insurance and Tel Aviv 35 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tel Aviv 35 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 Tel Aviv. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tel Aviv 35 has no effect on the direction of Migdal Insurance i.e., Migdal Insurance and Tel Aviv go up and down completely randomly.
Pair Corralation between Migdal Insurance and Tel Aviv
Assuming the 90 days trading horizon Migdal Insurance is expected to generate 5.78 times less return on investment than Tel Aviv. In addition to that, Migdal Insurance is 1.37 times more volatile than Tel Aviv 35. It trades about 0.04 of its total potential returns per unit of risk. Tel Aviv 35 is currently generating about 0.31 per unit of volatility. If you would invest 236,228 in Tel Aviv 35 on October 10, 2024 and sell it today you would earn a total of 9,583 from holding Tel Aviv 35 or generate 4.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Migdal Insurance vs. Tel Aviv 35
Performance |
Timeline |
Migdal Insurance and Tel Aviv Volatility Contrast
Predicted Return Density |
Returns |
Migdal Insurance
Pair trading matchups for Migdal Insurance
Tel Aviv 35
Pair trading matchups for Tel Aviv
Pair Trading with Migdal Insurance and Tel Aviv
The main advantage of trading using opposite Migdal Insurance and Tel Aviv positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Migdal Insurance position performs unexpectedly, Tel Aviv 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 Tel Aviv will offset losses from the drop in Tel Aviv'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 |
Tel Aviv vs. YH Dimri Construction | Tel Aviv vs. Unicorn Technologies | Tel Aviv vs. Automatic Bank Services | Tel Aviv vs. Willy Food |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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