Correlation Between Microsoft and Fidelity Series
Can any of the company-specific risk be diversified away by investing in both Microsoft and Fidelity Series 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 Fidelity Series into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Fidelity Series Floating, you can compare the effects of market volatilities on Microsoft and Fidelity Series 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 Fidelity Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Fidelity Series.
Diversification Opportunities for Microsoft and Fidelity Series
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Microsoft and Fidelity is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Fidelity Series Floating in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Series Floating 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 Fidelity Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Series Floating has no effect on the direction of Microsoft i.e., Microsoft and Fidelity Series go up and down completely randomly.
Pair Corralation between Microsoft and Fidelity Series
Given the investment horizon of 90 days Microsoft is expected to generate 10.01 times more return on investment than Fidelity Series. However, Microsoft is 10.01 times more volatile than Fidelity Series Floating. It trades about 0.05 of its potential returns per unit of risk. Fidelity Series Floating is currently generating about 0.3 per unit of risk. If you would invest 40,862 in Microsoft on September 2, 2024 and sell it today you would earn a total of 1,484 from holding Microsoft or generate 3.63% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Microsoft vs. Fidelity Series Floating
Performance |
| Timeline |
| Microsoft |
| Fidelity Series Floating |
Microsoft and Fidelity Series Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and Fidelity Series
The main advantage of trading using opposite Microsoft and Fidelity Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Fidelity Series 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 Fidelity Series will offset losses from the drop in Fidelity Series' long position.| Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
| Fidelity Series vs. Fidelity Freedom 2015 | Fidelity Series vs. Fidelity Puritan Fund | Fidelity Series vs. Fidelity Puritan Fund | Fidelity Series vs. Fidelity Pennsylvania Municipal |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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