Correlation Between Gaztransport Technigaz and PICKN PAY
Can any of the company-specific risk be diversified away by investing in both Gaztransport Technigaz and PICKN PAY 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 PICKN PAY 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 PICKN PAY STORES, you can compare the effects of market volatilities on Gaztransport Technigaz and PICKN PAY 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 PICKN PAY. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gaztransport Technigaz and PICKN PAY.
Diversification Opportunities for Gaztransport Technigaz and PICKN PAY
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Gaztransport and PICKN is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Gaztransport Technigaz SA and PICKN PAY STORES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PICKN PAY STORES 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 PICKN PAY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PICKN PAY STORES has no effect on the direction of Gaztransport Technigaz i.e., Gaztransport Technigaz and PICKN PAY go up and down completely randomly.
Pair Corralation between Gaztransport Technigaz and PICKN PAY
Assuming the 90 days horizon Gaztransport Technigaz SA is expected to generate 0.55 times more return on investment than PICKN PAY. However, Gaztransport Technigaz SA is 1.83 times less risky than PICKN PAY. It trades about 0.05 of its potential returns per unit of risk. PICKN PAY STORES is currently generating about -0.02 per unit of risk. If you would invest 9,148 in Gaztransport Technigaz SA on September 23, 2024 and sell it today you would earn a total of 3,612 from holding Gaztransport Technigaz SA or generate 39.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gaztransport Technigaz SA vs. PICKN PAY STORES
Performance |
Timeline |
Gaztransport Technigaz |
PICKN PAY STORES |
Gaztransport Technigaz and PICKN PAY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gaztransport Technigaz and PICKN PAY
The main advantage of trading using opposite Gaztransport Technigaz and PICKN PAY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gaztransport Technigaz position performs unexpectedly, PICKN PAY 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 PICKN PAY will offset losses from the drop in PICKN PAY's long position.Gaztransport Technigaz vs. Insteel Industries | Gaztransport Technigaz vs. Boiron SA | Gaztransport Technigaz vs. Chiba Bank | Gaztransport Technigaz vs. The Hanover Insurance |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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