Correlation Between GBS Software and Federal Agricultural
Can any of the company-specific risk be diversified away by investing in both GBS Software and Federal Agricultural 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 GBS Software and Federal Agricultural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GBS Software AG and Federal Agricultural Mortgage, you can compare the effects of market volatilities on GBS Software and Federal Agricultural 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 GBS Software with a short position of Federal Agricultural. Check out your portfolio center. Please also check ongoing floating volatility patterns of GBS Software and Federal Agricultural.
Diversification Opportunities for GBS Software and Federal Agricultural
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GBS and Federal is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding GBS Software AG and Federal Agricultural Mortgage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Agricultural and GBS Software 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 GBS Software AG are associated (or correlated) with Federal Agricultural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federal Agricultural has no effect on the direction of GBS Software i.e., GBS Software and Federal Agricultural go up and down completely randomly.
Pair Corralation between GBS Software and Federal Agricultural
Assuming the 90 days trading horizon GBS Software AG is expected to generate 1.33 times more return on investment than Federal Agricultural. However, GBS Software is 1.33 times more volatile than Federal Agricultural Mortgage. It trades about 0.08 of its potential returns per unit of risk. Federal Agricultural Mortgage is currently generating about -0.07 per unit of risk. If you would invest 246.00 in GBS Software AG on December 20, 2024 and sell it today you would earn a total of 24.00 from holding GBS Software AG or generate 9.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GBS Software AG vs. Federal Agricultural Mortgage
Performance |
Timeline |
GBS Software AG |
Federal Agricultural |
GBS Software and Federal Agricultural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GBS Software and Federal Agricultural
The main advantage of trading using opposite GBS Software and Federal Agricultural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GBS Software position performs unexpectedly, Federal Agricultural 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 Federal Agricultural will offset losses from the drop in Federal Agricultural's long position.GBS Software vs. FUYO GENERAL LEASE | GBS Software vs. United Rentals | GBS Software vs. Gaming and Leisure | GBS Software vs. LG Display Co |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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