Correlation Between Microsoft and ALLEGROEU
Can any of the company-specific risk be diversified away by investing in both Microsoft and ALLEGROEU 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 ALLEGROEU into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and ALLEGROEU ZY 01, you can compare the effects of market volatilities on Microsoft and ALLEGROEU 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 ALLEGROEU. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and ALLEGROEU.
Diversification Opportunities for Microsoft and ALLEGROEU
Pay attention - limited upside
The 3 months correlation between Microsoft and ALLEGROEU is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and ALLEGROEU ZY 01 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ALLEGROEU ZY 01 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 ALLEGROEU. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ALLEGROEU ZY 01 has no effect on the direction of Microsoft i.e., Microsoft and ALLEGROEU go up and down completely randomly.
Pair Corralation between Microsoft and ALLEGROEU
Assuming the 90 days trading horizon Microsoft is expected to generate 0.47 times more return on investment than ALLEGROEU. However, Microsoft is 2.15 times less risky than ALLEGROEU. It trades about 0.3 of its potential returns per unit of risk. ALLEGROEU ZY 01 is currently generating about -0.18 per unit of risk. If you would invest 39,232 in Microsoft on September 12, 2024 and sell it today you would earn a total of 3,543 from holding Microsoft or generate 9.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. ALLEGROEU ZY 01
Performance |
Timeline |
Microsoft |
ALLEGROEU ZY 01 |
Microsoft and ALLEGROEU Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and ALLEGROEU
The main advantage of trading using opposite Microsoft and ALLEGROEU positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, ALLEGROEU 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 ALLEGROEU will offset losses from the drop in ALLEGROEU's long position.The idea behind Microsoft and ALLEGROEU ZY 01 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.ALLEGROEU vs. Entravision Communications | ALLEGROEU vs. SBM OFFSHORE | ALLEGROEU vs. RYU Apparel | ALLEGROEU vs. Mobilezone Holding AG |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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