Correlation Between Ormat Technologies and Batm Advanced
Can any of the company-specific risk be diversified away by investing in both Ormat Technologies and Batm Advanced 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 Ormat Technologies and Batm Advanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ormat Technologies and Batm Advanced Communications, you can compare the effects of market volatilities on Ormat Technologies and Batm Advanced 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 Ormat Technologies with a short position of Batm Advanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ormat Technologies and Batm Advanced.
Diversification Opportunities for Ormat Technologies and Batm Advanced
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Ormat and Batm is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Ormat Technologies and Batm Advanced Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Batm Advanced Commun and Ormat Technologies 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 Ormat Technologies are associated (or correlated) with Batm Advanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Batm Advanced Commun has no effect on the direction of Ormat Technologies i.e., Ormat Technologies and Batm Advanced go up and down completely randomly.
Pair Corralation between Ormat Technologies and Batm Advanced
Assuming the 90 days trading horizon Ormat Technologies is expected to generate 0.48 times more return on investment than Batm Advanced. However, Ormat Technologies is 2.07 times less risky than Batm Advanced. It trades about -0.09 of its potential returns per unit of risk. Batm Advanced Communications is currently generating about -0.2 per unit of risk. If you would invest 2,998,788 in Ormat Technologies on September 5, 2024 and sell it today you would lose (64,788) from holding Ormat Technologies or give up 2.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ormat Technologies vs. Batm Advanced Communications
Performance |
Timeline |
Ormat Technologies |
Batm Advanced Commun |
Ormat Technologies and Batm Advanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ormat Technologies and Batm Advanced
The main advantage of trading using opposite Ormat Technologies and Batm Advanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ormat Technologies position performs unexpectedly, Batm Advanced 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 Batm Advanced will offset losses from the drop in Batm Advanced's long position.Ormat Technologies vs. Elbit Systems | Ormat Technologies vs. Nice | Ormat Technologies vs. Tower Semiconductor | Ormat Technologies vs. Nova |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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