Correlation Between Gaztransport Technigaz and Xenia Hotels
Can any of the company-specific risk be diversified away by investing in both Gaztransport Technigaz and Xenia Hotels 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 Xenia Hotels 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 Xenia Hotels Resorts, you can compare the effects of market volatilities on Gaztransport Technigaz and Xenia Hotels 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 Xenia Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gaztransport Technigaz and Xenia Hotels.
Diversification Opportunities for Gaztransport Technigaz and Xenia Hotels
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Gaztransport and Xenia is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Gaztransport Technigaz SA and Xenia Hotels Resorts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xenia Hotels Resorts 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 Xenia Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xenia Hotels Resorts has no effect on the direction of Gaztransport Technigaz i.e., Gaztransport Technigaz and Xenia Hotels go up and down completely randomly.
Pair Corralation between Gaztransport Technigaz and Xenia Hotels
Assuming the 90 days horizon Gaztransport Technigaz SA is not expected to generate positive returns. However, Gaztransport Technigaz SA is 1.56 times less risky than Xenia Hotels. It waists most of its returns potential to compensate for thr risk taken. Xenia Hotels is generating about -0.09 per unit of risk. If you would invest 13,007 in Gaztransport Technigaz SA on October 4, 2024 and sell it today you would lose (27.00) from holding Gaztransport Technigaz SA or give up 0.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gaztransport Technigaz SA vs. Xenia Hotels Resorts
Performance |
Timeline |
Gaztransport Technigaz |
Xenia Hotels Resorts |
Gaztransport Technigaz and Xenia Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gaztransport Technigaz and Xenia Hotels
The main advantage of trading using opposite Gaztransport Technigaz and Xenia Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gaztransport Technigaz position performs unexpectedly, Xenia Hotels 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 Xenia Hotels will offset losses from the drop in Xenia Hotels' long position.Gaztransport Technigaz vs. SIVERS SEMICONDUCTORS AB | Gaztransport Technigaz vs. Talanx AG | Gaztransport Technigaz vs. Norsk Hydro ASA | Gaztransport Technigaz vs. Volkswagen AG |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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