Correlation Between Formuepleje Mix and FOM Technologies
Can any of the company-specific risk be diversified away by investing in both Formuepleje Mix and FOM Technologies 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 Formuepleje Mix and FOM Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Formuepleje Mix Medium and FOM Technologies AS, you can compare the effects of market volatilities on Formuepleje Mix and FOM Technologies 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 Formuepleje Mix with a short position of FOM Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formuepleje Mix and FOM Technologies.
Diversification Opportunities for Formuepleje Mix and FOM Technologies
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Formuepleje and FOM is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Formuepleje Mix Medium and FOM Technologies AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FOM Technologies and Formuepleje Mix 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 Formuepleje Mix Medium are associated (or correlated) with FOM Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FOM Technologies has no effect on the direction of Formuepleje Mix i.e., Formuepleje Mix and FOM Technologies go up and down completely randomly.
Pair Corralation between Formuepleje Mix and FOM Technologies
Assuming the 90 days trading horizon Formuepleje Mix Medium is expected to generate 0.16 times more return on investment than FOM Technologies. However, Formuepleje Mix Medium is 6.37 times less risky than FOM Technologies. It trades about 0.04 of its potential returns per unit of risk. FOM Technologies AS is currently generating about -0.26 per unit of risk. If you would invest 29,380 in Formuepleje Mix Medium on October 10, 2024 and sell it today you would earn a total of 330.00 from holding Formuepleje Mix Medium or generate 1.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 86.67% |
Values | Daily Returns |
Formuepleje Mix Medium vs. FOM Technologies AS
Performance |
Timeline |
Formuepleje Mix Medium |
FOM Technologies |
Formuepleje Mix and FOM Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formuepleje Mix and FOM Technologies
The main advantage of trading using opposite Formuepleje Mix and FOM Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formuepleje Mix position performs unexpectedly, FOM Technologies 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 FOM Technologies will offset losses from the drop in FOM Technologies' long position.Formuepleje Mix vs. PARKEN Sport Entertainment | Formuepleje Mix vs. Scandinavian Investment Group | Formuepleje Mix vs. Prime Office AS | Formuepleje Mix vs. BankInvest Value Globale |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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