Correlation Between Microsoft and FIRST TRUST
Can any of the company-specific risk be diversified away by investing in both Microsoft and FIRST TRUST 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 FIRST TRUST into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and FIRST TRUST GLOBAL, you can compare the effects of market volatilities on Microsoft and FIRST TRUST 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 FIRST TRUST. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and FIRST TRUST.
Diversification Opportunities for Microsoft and FIRST TRUST
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Microsoft and FIRST is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and FIRST TRUST GLOBAL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FIRST TRUST GLOBAL 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 FIRST TRUST. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FIRST TRUST GLOBAL has no effect on the direction of Microsoft i.e., Microsoft and FIRST TRUST go up and down completely randomly.
Pair Corralation between Microsoft and FIRST TRUST
Given the investment horizon of 90 days Microsoft is expected to generate 97.77 times less return on investment than FIRST TRUST. But when comparing it to its historical volatility, Microsoft is 84.41 times less risky than FIRST TRUST. It trades about 0.1 of its potential returns per unit of risk. FIRST TRUST GLOBAL is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 2,708 in FIRST TRUST GLOBAL on September 20, 2024 and sell it today you would earn a total of 244,042 from holding FIRST TRUST GLOBAL or generate 9011.89% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 55.65% |
| Values | Daily Returns |
Microsoft vs. FIRST TRUST GLOBAL
Performance |
| Timeline |
| Microsoft |
| FIRST TRUST GLOBAL |
Microsoft and FIRST TRUST Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and FIRST TRUST
The main advantage of trading using opposite Microsoft and FIRST TRUST positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, FIRST TRUST 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 FIRST TRUST will offset losses from the drop in FIRST TRUST's long position.| Microsoft vs. Global Blue Group | Microsoft vs. Aurora Mobile | Microsoft vs. Marqeta | Microsoft vs. Nextnav Acquisition Corp |
| FIRST TRUST vs. Edinburgh Worldwide Investment | FIRST TRUST vs. BlackRock Latin American | FIRST TRUST vs. Coor Service Management | FIRST TRUST vs. Franklin FTSE Brazil |
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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
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