Correlation Between Microsoft and GALP ENERGIA
Can any of the company-specific risk be diversified away by investing in both Microsoft 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 Microsoft and GALP ENERGIA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and GALP ENERGIA B , you can compare the effects of market volatilities on Microsoft 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 Microsoft with a short position of GALP ENERGIA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and GALP ENERGIA.
Diversification Opportunities for Microsoft and GALP ENERGIA
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Microsoft and GALP is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft 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 Microsoft 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 Microsoft 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 Microsoft i.e., Microsoft and GALP ENERGIA go up and down completely randomly.
Pair Corralation between Microsoft and GALP ENERGIA
Assuming the 90 days trading horizon Microsoft is expected to generate 0.85 times more return on investment than GALP ENERGIA. However, Microsoft is 1.17 times less risky than GALP ENERGIA. It trades about 0.12 of its potential returns per unit of risk. GALP ENERGIA B is currently generating about -0.02 per unit of risk. If you would invest 38,543 in Microsoft on September 16, 2024 and sell it today you would earn a total of 4,047 from holding Microsoft or generate 10.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. GALP ENERGIA B
Performance |
Timeline |
Microsoft |
GALP ENERGIA B |
Microsoft and GALP ENERGIA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and GALP ENERGIA
The main advantage of trading using opposite Microsoft and GALP ENERGIA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft 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 Microsoft 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. Apple Inc | GALP ENERGIA vs. Apple Inc |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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