Correlation Between Gaztransport Technigaz and YAMAHA MOTOR
Can any of the company-specific risk be diversified away by investing in both Gaztransport Technigaz and YAMAHA MOTOR 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 YAMAHA MOTOR 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 YAMAHA MOTOR, you can compare the effects of market volatilities on Gaztransport Technigaz and YAMAHA MOTOR 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 YAMAHA MOTOR. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gaztransport Technigaz and YAMAHA MOTOR.
Diversification Opportunities for Gaztransport Technigaz and YAMAHA MOTOR
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Gaztransport and YAMAHA is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Gaztransport Technigaz SA and YAMAHA MOTOR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on YAMAHA MOTOR 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 YAMAHA MOTOR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of YAMAHA MOTOR has no effect on the direction of Gaztransport Technigaz i.e., Gaztransport Technigaz and YAMAHA MOTOR go up and down completely randomly.
Pair Corralation between Gaztransport Technigaz and YAMAHA MOTOR
Assuming the 90 days horizon Gaztransport Technigaz SA is expected to generate 1.65 times more return on investment than YAMAHA MOTOR. However, Gaztransport Technigaz is 1.65 times more volatile than YAMAHA MOTOR. It trades about 0.1 of its potential returns per unit of risk. YAMAHA MOTOR is currently generating about -0.12 per unit of risk. If you would invest 12,780 in Gaztransport Technigaz SA on December 23, 2024 and sell it today you would earn a total of 1,890 from holding Gaztransport Technigaz SA or generate 14.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Gaztransport Technigaz SA vs. YAMAHA MOTOR
Performance |
Timeline |
Gaztransport Technigaz |
YAMAHA MOTOR |
Gaztransport Technigaz and YAMAHA MOTOR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gaztransport Technigaz and YAMAHA MOTOR
The main advantage of trading using opposite Gaztransport Technigaz and YAMAHA MOTOR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gaztransport Technigaz position performs unexpectedly, YAMAHA MOTOR 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 YAMAHA MOTOR will offset losses from the drop in YAMAHA MOTOR's long position.Gaztransport Technigaz vs. CARSALESCOM | Gaztransport Technigaz vs. ZhongAn Online P | Gaztransport Technigaz vs. De Grey Mining | Gaztransport Technigaz vs. Algonquin Power Utilities |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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