Correlation Between Amazon and GALP ENERGIA
Can any of the company-specific risk be diversified away by investing in both Amazon 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 Amazon and GALP ENERGIA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amazon Inc and GALP ENERGIA B , you can compare the effects of market volatilities on Amazon 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 Amazon with a short position of GALP ENERGIA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amazon and GALP ENERGIA.
Diversification Opportunities for Amazon and GALP ENERGIA
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Amazon and GALP is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Amazon Inc and GALP ENERGIA B in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GALP ENERGIA B and Amazon 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 Amazon Inc 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 B has no effect on the direction of Amazon i.e., Amazon and GALP ENERGIA go up and down completely randomly.
Pair Corralation between Amazon and GALP ENERGIA
Assuming the 90 days trading horizon Amazon Inc is expected to generate 1.29 times more return on investment than GALP ENERGIA. However, Amazon is 1.29 times more volatile than GALP ENERGIA B . It trades about 0.09 of its potential returns per unit of risk. GALP ENERGIA B is currently generating about -0.1 per unit of risk. If you would invest 18,184 in Amazon Inc on September 26, 2024 and sell it today you would earn a total of 3,561 from holding Amazon Inc or generate 19.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Amazon Inc vs. GALP ENERGIA B
Performance |
Timeline |
Amazon Inc |
GALP ENERGIA B |
Amazon and GALP ENERGIA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amazon and GALP ENERGIA
The main advantage of trading using opposite Amazon and GALP ENERGIA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amazon 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.The idea behind Amazon Inc and GALP ENERGIA B pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.GALP ENERGIA vs. Apple Inc | GALP ENERGIA vs. Apple Inc | GALP ENERGIA vs. Microsoft | GALP ENERGIA vs. Microsoft |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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