Correlation Between Harel Insurance and Norstar
Can any of the company-specific risk be diversified away by investing in both Harel Insurance and Norstar 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 Harel Insurance and Norstar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Harel Insurance Investments and Norstar, you can compare the effects of market volatilities on Harel Insurance and Norstar 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 Harel Insurance with a short position of Norstar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Harel Insurance and Norstar.
Diversification Opportunities for Harel Insurance and Norstar
-0.87 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Harel and Norstar is -0.87. Overlapping area represents the amount of risk that can be diversified away by holding Harel Insurance Investments and Norstar in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Norstar and Harel 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 Harel Insurance Investments are associated (or correlated) with Norstar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Norstar has no effect on the direction of Harel Insurance i.e., Harel Insurance and Norstar go up and down completely randomly.
Pair Corralation between Harel Insurance and Norstar
Assuming the 90 days trading horizon Harel Insurance Investments is expected to generate 0.79 times more return on investment than Norstar. However, Harel Insurance Investments is 1.26 times less risky than Norstar. It trades about 0.2 of its potential returns per unit of risk. Norstar is currently generating about -0.2 per unit of risk. If you would invest 491,308 in Harel Insurance Investments on December 30, 2024 and sell it today you would earn a total of 112,792 from holding Harel Insurance Investments or generate 22.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Harel Insurance Investments vs. Norstar
Performance |
Timeline |
Harel Insurance Inve |
Norstar |
Harel Insurance and Norstar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Harel Insurance and Norstar
The main advantage of trading using opposite Harel Insurance and Norstar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Harel Insurance position performs unexpectedly, Norstar 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 Norstar will offset losses from the drop in Norstar's long position.Harel Insurance vs. Migdal Insurance | Harel Insurance vs. Clal Insurance Enterprises | Harel Insurance vs. Bank Hapoalim | Harel Insurance vs. Bank Leumi Le Israel |
Norstar vs. Delek Group | Norstar vs. Fattal 1998 Holdings | Norstar vs. Azrieli Group | Norstar vs. Melisron |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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