Correlation Between FOM Technologies and Shape Robotics
Can any of the company-specific risk be diversified away by investing in both FOM Technologies and Shape Robotics 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 FOM Technologies and Shape Robotics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FOM Technologies AS and Shape Robotics AS, you can compare the effects of market volatilities on FOM Technologies and Shape Robotics 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 FOM Technologies with a short position of Shape Robotics. Check out your portfolio center. Please also check ongoing floating volatility patterns of FOM Technologies and Shape Robotics.
Diversification Opportunities for FOM Technologies and Shape Robotics
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between FOM and Shape is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding FOM Technologies AS and Shape Robotics AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shape Robotics AS and FOM 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 FOM Technologies AS are associated (or correlated) with Shape Robotics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shape Robotics AS has no effect on the direction of FOM Technologies i.e., FOM Technologies and Shape Robotics go up and down completely randomly.
Pair Corralation between FOM Technologies and Shape Robotics
Assuming the 90 days trading horizon FOM Technologies AS is expected to generate 1.21 times more return on investment than Shape Robotics. However, FOM Technologies is 1.21 times more volatile than Shape Robotics AS. It trades about 0.02 of its potential returns per unit of risk. Shape Robotics AS is currently generating about 0.02 per unit of risk. If you would invest 824.00 in FOM Technologies AS on December 29, 2024 and sell it today you would lose (6.00) from holding FOM Technologies AS or give up 0.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
FOM Technologies AS vs. Shape Robotics AS
Performance |
Timeline |
FOM Technologies |
Shape Robotics AS |
FOM Technologies and Shape Robotics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FOM Technologies and Shape Robotics
The main advantage of trading using opposite FOM Technologies and Shape Robotics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FOM Technologies position performs unexpectedly, Shape Robotics 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 Shape Robotics will offset losses from the drop in Shape Robotics' long position.FOM Technologies vs. cBrain AS | FOM Technologies vs. Shape Robotics AS | FOM Technologies vs. ALK Abell AS | FOM Technologies vs. ChemoMetec AS |
Shape Robotics vs. FOM Technologies AS | Shape Robotics vs. cBrain AS | Shape Robotics vs. Green Hydrogen Systems | Shape Robotics vs. BioPorto |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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