Correlation Between Globant SA and Formula Systems
Can any of the company-specific risk be diversified away by investing in both Globant SA and Formula Systems 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 Globant SA and Formula Systems into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Globant SA and Formula Systems 1985, you can compare the effects of market volatilities on Globant SA and Formula Systems 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 Globant SA with a short position of Formula Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of Globant SA and Formula Systems.
Diversification Opportunities for Globant SA and Formula Systems
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Globant and Formula is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Globant SA and Formula Systems 1985 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Formula Systems 1985 and Globant SA 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 Globant SA are associated (or correlated) with Formula Systems. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Formula Systems 1985 has no effect on the direction of Globant SA i.e., Globant SA and Formula Systems go up and down completely randomly.
Pair Corralation between Globant SA and Formula Systems
Given the investment horizon of 90 days Globant SA is expected to under-perform the Formula Systems. In addition to that, Globant SA is 1.87 times more volatile than Formula Systems 1985. It trades about -0.21 of its total potential returns per unit of risk. Formula Systems 1985 is currently generating about 0.01 per unit of volatility. If you would invest 8,900 in Formula Systems 1985 on December 30, 2024 and sell it today you would earn a total of 45.00 from holding Formula Systems 1985 or generate 0.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Globant SA vs. Formula Systems 1985
Performance |
Timeline |
Globant SA |
Formula Systems 1985 |
Globant SA and Formula Systems Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Globant SA and Formula Systems
The main advantage of trading using opposite Globant SA and Formula Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Globant SA position performs unexpectedly, Formula Systems 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 Formula Systems will offset losses from the drop in Formula Systems' long position.Globant SA vs. Accenture plc | Globant SA vs. Concentrix | Globant SA vs. Cognizant Technology Solutions | Globant SA vs. CDW Corp |
Formula Systems vs. CSP Inc | Formula Systems vs. Nayax | Formula Systems vs. Information Services Group | Formula Systems vs. The Hackett Group |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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