Correlation Between SCIENCE IN and Galp Energia
Can any of the company-specific risk be diversified away by investing in both SCIENCE IN and Galp Energia 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 SCIENCE IN and Galp Energia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SCIENCE IN SPORT and Galp Energia SGPS, you can compare the effects of market volatilities on SCIENCE IN and Galp Energia 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 SCIENCE IN with a short position of Galp Energia. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCIENCE IN and Galp Energia.
Diversification Opportunities for SCIENCE IN and Galp Energia
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SCIENCE and Galp is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding SCIENCE IN SPORT and Galp Energia SGPS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Galp Energia SGPS and SCIENCE IN 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 SCIENCE IN SPORT are associated (or correlated) with Galp Energia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Galp Energia SGPS has no effect on the direction of SCIENCE IN i.e., SCIENCE IN and Galp Energia go up and down completely randomly.
Pair Corralation between SCIENCE IN and Galp Energia
Assuming the 90 days horizon SCIENCE IN SPORT is expected to generate 1.95 times more return on investment than Galp Energia. However, SCIENCE IN is 1.95 times more volatile than Galp Energia SGPS. It trades about 0.06 of its potential returns per unit of risk. Galp Energia SGPS is currently generating about -0.06 per unit of risk. If you would invest 29.00 in SCIENCE IN SPORT on December 20, 2024 and sell it today you would earn a total of 3.00 from holding SCIENCE IN SPORT or generate 10.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SCIENCE IN SPORT vs. Galp Energia SGPS
Performance |
Timeline |
SCIENCE IN SPORT |
Galp Energia SGPS |
SCIENCE IN and Galp Energia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SCIENCE IN and Galp Energia
The main advantage of trading using opposite SCIENCE IN and Galp Energia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCIENCE IN position performs unexpectedly, Galp Energia 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 Galp Energia will offset losses from the drop in Galp Energia's long position.SCIENCE IN vs. Tokyu Construction Co | SCIENCE IN vs. AUST AGRICULTURAL | SCIENCE IN vs. USU Software AG | SCIENCE IN vs. Hitachi Construction Machinery |
Galp Energia vs. Magnachip Semiconductor | Galp Energia vs. Semiconductor Manufacturing International | Galp Energia vs. MAG SILVER | Galp Energia vs. Chesapeake Utilities |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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