Correlation Between Harel Insurance and Glassbox
Can any of the company-specific risk be diversified away by investing in both Harel Insurance and Glassbox 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 Glassbox 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 Glassbox, you can compare the effects of market volatilities on Harel Insurance and Glassbox 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 Glassbox. Check out your portfolio center. Please also check ongoing floating volatility patterns of Harel Insurance and Glassbox.
Diversification Opportunities for Harel Insurance and Glassbox
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Harel and Glassbox is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Harel Insurance Investments and Glassbox in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Glassbox 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 Glassbox. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Glassbox has no effect on the direction of Harel Insurance i.e., Harel Insurance and Glassbox go up and down completely randomly.
Pair Corralation between Harel Insurance and Glassbox
Assuming the 90 days trading horizon Harel Insurance Investments is expected to generate 0.32 times more return on investment than Glassbox. However, Harel Insurance Investments is 3.11 times less risky than Glassbox. It trades about 0.33 of its potential returns per unit of risk. Glassbox is currently generating about 0.07 per unit of risk. If you would invest 337,904 in Harel Insurance Investments on September 5, 2024 and sell it today you would earn a total of 101,096 from holding Harel Insurance Investments or generate 29.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 63.04% |
Values | Daily Returns |
Harel Insurance Investments vs. Glassbox
Performance |
Timeline |
Harel Insurance Inve |
Glassbox |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Modest
Harel Insurance and Glassbox Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Harel Insurance and Glassbox
The main advantage of trading using opposite Harel Insurance and Glassbox positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Harel Insurance position performs unexpectedly, Glassbox 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 Glassbox will offset losses from the drop in Glassbox's long position.Harel Insurance vs. Israel Discount Bank | Harel Insurance vs. First International Bank | Harel Insurance vs. Elbit Systems |
Glassbox vs. Computer Direct | Glassbox vs. Inrom Construction Industries | Glassbox vs. Harel Insurance Investments | Glassbox vs. YH Dimri Construction |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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