Correlation Between Microsoft and Metropolitan West
Can any of the company-specific risk be diversified away by investing in both Microsoft and Metropolitan West 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 Metropolitan West into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Metropolitan West Total, you can compare the effects of market volatilities on Microsoft and Metropolitan West 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 Metropolitan West. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Metropolitan West.
Diversification Opportunities for Microsoft and Metropolitan West
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Microsoft and Metropolitan is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Metropolitan West Total in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metropolitan West Total 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 Metropolitan West. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metropolitan West Total has no effect on the direction of Microsoft i.e., Microsoft and Metropolitan West go up and down completely randomly.
Pair Corralation between Microsoft and Metropolitan West
Given the investment horizon of 90 days Microsoft is expected to generate 3.72 times more return on investment than Metropolitan West. However, Microsoft is 3.72 times more volatile than Metropolitan West Total. It trades about 0.05 of its potential returns per unit of risk. Metropolitan West Total is currently generating about -0.07 per unit of risk. If you would invest 40,862 in Microsoft on August 31, 2024 and sell it today you would earn a total of 1,437 from holding Microsoft or generate 3.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Metropolitan West Total
Performance |
Timeline |
Microsoft |
Metropolitan West Total |
Microsoft and Metropolitan West Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Metropolitan West
The main advantage of trading using opposite Microsoft and Metropolitan West positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Metropolitan West 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 Metropolitan West will offset losses from the drop in Metropolitan West's long position.Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
Metropolitan West vs. Metropolitan West Total | Metropolitan West vs. Pimco Total Return | Metropolitan West vs. Total Return Fund | Metropolitan West vs. Total Return Fund |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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