Correlation Between Gaztransport Technigaz and WT OFFSHORE
Can any of the company-specific risk be diversified away by investing in both Gaztransport Technigaz and WT OFFSHORE 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 Gaztransport Technigaz and WT OFFSHORE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gaztransport Technigaz SA and WT OFFSHORE, you can compare the effects of market volatilities on Gaztransport Technigaz and WT OFFSHORE 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 Gaztransport Technigaz with a short position of WT OFFSHORE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gaztransport Technigaz and WT OFFSHORE.
Diversification Opportunities for Gaztransport Technigaz and WT OFFSHORE
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Gaztransport and UWV is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Gaztransport Technigaz SA and WT OFFSHORE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WT OFFSHORE and Gaztransport Technigaz 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 Gaztransport Technigaz SA are associated (or correlated) with WT OFFSHORE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WT OFFSHORE has no effect on the direction of Gaztransport Technigaz i.e., Gaztransport Technigaz and WT OFFSHORE go up and down completely randomly.
Pair Corralation between Gaztransport Technigaz and WT OFFSHORE
Assuming the 90 days horizon Gaztransport Technigaz SA is expected to generate 1.1 times more return on investment than WT OFFSHORE. However, Gaztransport Technigaz is 1.1 times more volatile than WT OFFSHORE. It trades about -0.05 of its potential returns per unit of risk. WT OFFSHORE is currently generating about -0.46 per unit of risk. If you would invest 13,522 in Gaztransport Technigaz SA on September 17, 2024 and sell it today you would lose (282.00) from holding Gaztransport Technigaz SA or give up 2.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Gaztransport Technigaz SA vs. WT OFFSHORE
Performance |
Timeline |
Gaztransport Technigaz |
WT OFFSHORE |
Gaztransport Technigaz and WT OFFSHORE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gaztransport Technigaz and WT OFFSHORE
The main advantage of trading using opposite Gaztransport Technigaz and WT OFFSHORE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gaztransport Technigaz position performs unexpectedly, WT OFFSHORE 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 WT OFFSHORE will offset losses from the drop in WT OFFSHORE's long position.Gaztransport Technigaz vs. Tenaris SA | Gaztransport Technigaz vs. NOV Inc | Gaztransport Technigaz vs. Superior Plus Corp | Gaztransport Technigaz vs. SIVERS SEMICONDUCTORS AB |
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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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