Correlation Between Workspace Group and Gaztransport
Can any of the company-specific risk be diversified away by investing in both Workspace Group and Gaztransport 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 Workspace Group and Gaztransport into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Workspace Group PLC and Gaztransport et Technigaz, you can compare the effects of market volatilities on Workspace Group and Gaztransport 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 Workspace Group with a short position of Gaztransport. Check out your portfolio center. Please also check ongoing floating volatility patterns of Workspace Group and Gaztransport.
Diversification Opportunities for Workspace Group and Gaztransport
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Workspace and Gaztransport is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Workspace Group PLC and Gaztransport et Technigaz in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gaztransport et Technigaz and Workspace Group 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 Workspace Group PLC are associated (or correlated) with Gaztransport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gaztransport et Technigaz has no effect on the direction of Workspace Group i.e., Workspace Group and Gaztransport go up and down completely randomly.
Pair Corralation between Workspace Group and Gaztransport
Assuming the 90 days trading horizon Workspace Group PLC is expected to under-perform the Gaztransport. In addition to that, Workspace Group is 1.61 times more volatile than Gaztransport et Technigaz. It trades about -0.1 of its total potential returns per unit of risk. Gaztransport et Technigaz is currently generating about 0.47 per unit of volatility. If you would invest 12,740 in Gaztransport et Technigaz on October 23, 2024 and sell it today you would earn a total of 1,700 from holding Gaztransport et Technigaz or generate 13.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Workspace Group PLC vs. Gaztransport et Technigaz
Performance |
Timeline |
Workspace Group PLC |
Gaztransport et Technigaz |
Workspace Group and Gaztransport Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Workspace Group and Gaztransport
The main advantage of trading using opposite Workspace Group and Gaztransport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Workspace Group position performs unexpectedly, Gaztransport 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 Gaztransport will offset losses from the drop in Gaztransport's long position.Workspace Group vs. Panther Metals PLC | Workspace Group vs. Adriatic Metals | Workspace Group vs. Cellnex Telecom SA | Workspace Group vs. Eastinco Mining Exploration |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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