Correlation Between Microsoft and Waste Management
Can any of the company-specific risk be diversified away by investing in both Microsoft and Waste Management 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 Waste Management into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Waste Management, you can compare the effects of market volatilities on Microsoft and Waste Management 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 Waste Management. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Waste Management.
Diversification Opportunities for Microsoft and Waste Management
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Microsoft and Waste is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Waste Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Waste Management 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 Waste Management. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Waste Management has no effect on the direction of Microsoft i.e., Microsoft and Waste Management go up and down completely randomly.
Pair Corralation between Microsoft and Waste Management
Assuming the 90 days trading horizon Microsoft is expected to generate 1.52 times more return on investment than Waste Management. However, Microsoft is 1.52 times more volatile than Waste Management. It trades about 0.13 of its potential returns per unit of risk. Waste Management is currently generating about -0.68 per unit of risk. If you would invest 39,980 in Microsoft on September 29, 2024 and sell it today you would earn a total of 1,060 from holding Microsoft or generate 2.65% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Microsoft vs. Waste Management
Performance |
| Timeline |
| Microsoft |
| Waste Management |
Microsoft and Waste Management Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and Waste Management
The main advantage of trading using opposite Microsoft and Waste Management positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Waste Management 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 Waste Management will offset losses from the drop in Waste Management's long position.| Microsoft vs. X FAB Silicon Foundries | Microsoft vs. SEKISUI CHEMICAL | Microsoft vs. 24SEVENOFFICE GROUP AB | Microsoft vs. International Consolidated Airlines |
| Waste Management vs. DAIRY FARM INTL | Waste Management vs. INDO RAMA SYNTHETIC | Waste Management vs. X FAB Silicon Foundries | Waste Management vs. Federal Agricultural Mortgage |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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