Correlation Between Microsoft and Micro-Mechanics (Holdings)
Can any of the company-specific risk be diversified away by investing in both Microsoft and Micro-Mechanics (Holdings) 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 Micro-Mechanics (Holdings) into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Micro Mechanics, you can compare the effects of market volatilities on Microsoft and Micro-Mechanics (Holdings) 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 Micro-Mechanics (Holdings). Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Micro-Mechanics (Holdings).
Diversification Opportunities for Microsoft and Micro-Mechanics (Holdings)
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Microsoft and Micro-Mechanics is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Micro Mechanics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Micro-Mechanics (Holdings) 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 Micro-Mechanics (Holdings). Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Micro-Mechanics (Holdings) has no effect on the direction of Microsoft i.e., Microsoft and Micro-Mechanics (Holdings) go up and down completely randomly.
Pair Corralation between Microsoft and Micro-Mechanics (Holdings)
Given the investment horizon of 90 days Microsoft is expected to generate 0.53 times more return on investment than Micro-Mechanics (Holdings). However, Microsoft is 1.88 times less risky than Micro-Mechanics (Holdings). It trades about 0.09 of its potential returns per unit of risk. Micro Mechanics is currently generating about -0.03 per unit of risk. If you would invest 24,146 in Microsoft on August 30, 2024 and sell it today you would earn a total of 18,153 from holding Microsoft or generate 75.18% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 79.23% |
| Values | Daily Returns |
Microsoft vs. Micro Mechanics
Performance |
| Timeline |
| Microsoft |
| Micro-Mechanics (Holdings) |
Microsoft and Micro-Mechanics (Holdings) Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and Micro-Mechanics (Holdings)
The main advantage of trading using opposite Microsoft and Micro-Mechanics (Holdings) positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Micro-Mechanics (Holdings) 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 Micro-Mechanics (Holdings) will offset losses from the drop in Micro-Mechanics (Holdings)'s long position.| Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
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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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