Correlation Between Microsoft and Grayscale Stellar
Can any of the company-specific risk be diversified away by investing in both Microsoft and Grayscale Stellar 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 Grayscale Stellar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Grayscale Stellar Lumens, you can compare the effects of market volatilities on Microsoft and Grayscale Stellar 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 Grayscale Stellar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Grayscale Stellar.
Diversification Opportunities for Microsoft and Grayscale Stellar
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Microsoft and Grayscale is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Grayscale Stellar Lumens in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grayscale Stellar Lumens 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 Grayscale Stellar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grayscale Stellar Lumens has no effect on the direction of Microsoft i.e., Microsoft and Grayscale Stellar go up and down completely randomly.
Pair Corralation between Microsoft and Grayscale Stellar
Given the investment horizon of 90 days Microsoft is expected to generate 86.87 times less return on investment than Grayscale Stellar. But when comparing it to its historical volatility, Microsoft is 6.83 times less risky than Grayscale Stellar. It trades about 0.01 of its potential returns per unit of risk. Grayscale Stellar Lumens is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 2,300 in Grayscale Stellar Lumens on September 20, 2024 and sell it today you would earn a total of 2,600 from holding Grayscale Stellar Lumens or generate 113.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Grayscale Stellar Lumens
Performance |
Timeline |
Microsoft |
Grayscale Stellar Lumens |
Microsoft and Grayscale Stellar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Grayscale Stellar
The main advantage of trading using opposite Microsoft and Grayscale Stellar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Grayscale Stellar 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 Grayscale Stellar will offset losses from the drop in Grayscale Stellar'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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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