Correlation Between ORMAT TECHNOLOGIES and Food Life
Can any of the company-specific risk be diversified away by investing in both ORMAT TECHNOLOGIES and Food Life 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 Food Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ORMAT TECHNOLOGIES and Food Life Companies, you can compare the effects of market volatilities on ORMAT TECHNOLOGIES and Food Life 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 Food Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of ORMAT TECHNOLOGIES and Food Life.
Diversification Opportunities for ORMAT TECHNOLOGIES and Food Life
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between ORMAT and Food is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding ORMAT TECHNOLOGIES and Food Life Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Food Life Companies 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 Food Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Food Life Companies has no effect on the direction of ORMAT TECHNOLOGIES i.e., ORMAT TECHNOLOGIES and Food Life go up and down completely randomly.
Pair Corralation between ORMAT TECHNOLOGIES and Food Life
Assuming the 90 days trading horizon ORMAT TECHNOLOGIES is expected to under-perform the Food Life. But the stock apears to be less risky and, when comparing its historical volatility, ORMAT TECHNOLOGIES is 1.3 times less risky than Food Life. The stock trades about 0.0 of its potential returns per unit of risk. The Food Life Companies is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,760 in Food Life Companies on October 4, 2024 and sell it today you would earn a total of 240.00 from holding Food Life Companies or generate 13.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ORMAT TECHNOLOGIES vs. Food Life Companies
Performance |
Timeline |
ORMAT TECHNOLOGIES |
Food Life Companies |
ORMAT TECHNOLOGIES and Food Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ORMAT TECHNOLOGIES and Food Life
The main advantage of trading using opposite ORMAT TECHNOLOGIES and Food Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ORMAT TECHNOLOGIES position performs unexpectedly, Food Life 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 Food Life will offset losses from the drop in Food Life's long position.ORMAT TECHNOLOGIES vs. Siamgas And Petrochemicals | ORMAT TECHNOLOGIES vs. Perseus Mining Limited | ORMAT TECHNOLOGIES vs. MCEWEN MINING INC | ORMAT TECHNOLOGIES vs. Ameriprise Financial |
Food Life vs. INTERSHOP Communications Aktiengesellschaft | Food Life vs. Cardinal Health | Food Life vs. Consolidated Communications Holdings | Food Life vs. Singapore Telecommunications Limited |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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