Correlation Between Microsoft and Commodities Strategy
Can any of the company-specific risk be diversified away by investing in both Microsoft and Commodities Strategy 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 Commodities Strategy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Commodities Strategy Fund, you can compare the effects of market volatilities on Microsoft and Commodities Strategy 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 Commodities Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Commodities Strategy.
Diversification Opportunities for Microsoft and Commodities Strategy
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Microsoft and Commodities is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Commodities Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commodities Strategy 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 Commodities Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Commodities Strategy has no effect on the direction of Microsoft i.e., Microsoft and Commodities Strategy go up and down completely randomly.
Pair Corralation between Microsoft and Commodities Strategy
Given the investment horizon of 90 days Microsoft is expected to generate 1.23 times more return on investment than Commodities Strategy. However, Microsoft is 1.23 times more volatile than Commodities Strategy Fund. It trades about 0.01 of its potential returns per unit of risk. Commodities Strategy Fund is currently generating about 0.01 per unit of risk. If you would invest 43,440 in Microsoft on September 20, 2024 and sell it today you would earn a total of 263.00 from holding Microsoft or generate 0.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Microsoft vs. Commodities Strategy Fund
Performance |
Timeline |
Microsoft |
Commodities Strategy |
Microsoft and Commodities Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Commodities Strategy
The main advantage of trading using opposite Microsoft and Commodities Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Commodities Strategy 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 Commodities Strategy will offset losses from the drop in Commodities Strategy's long position.Microsoft vs. Global Blue Group | Microsoft vs. Aurora Mobile | Microsoft vs. Marqeta | Microsoft vs. Nextnav Acquisition Corp |
Commodities Strategy vs. Basic Materials Fund | Commodities Strategy vs. Energy Services Fund | Commodities Strategy vs. Real Estate Fund | Commodities Strategy vs. Precious Metals 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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