Correlation Between Microsoft and Us Treasury
Can any of the company-specific risk be diversified away by investing in both Microsoft and Us Treasury 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 Us Treasury into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Us Treasury Intermediate, you can compare the effects of market volatilities on Microsoft and Us Treasury 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 Us Treasury. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Us Treasury.
Diversification Opportunities for Microsoft and Us Treasury
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Microsoft and PRTIX is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Us Treasury Intermediate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Us Treasury Intermediate 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 Us Treasury. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Us Treasury Intermediate has no effect on the direction of Microsoft i.e., Microsoft and Us Treasury go up and down completely randomly.
Pair Corralation between Microsoft and Us Treasury
Given the investment horizon of 90 days Microsoft is expected to generate 1.58 times less return on investment than Us Treasury. In addition to that, Microsoft is 3.87 times more volatile than Us Treasury Intermediate. It trades about 0.01 of its total potential returns per unit of risk. Us Treasury Intermediate is currently generating about 0.06 per unit of volatility. If you would invest 473.00 in Us Treasury Intermediate on November 4, 2024 and sell it today you would earn a total of 24.00 from holding Us Treasury Intermediate or generate 5.07% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Microsoft vs. Us Treasury Intermediate
Performance |
| Timeline |
| Microsoft |
| Us Treasury Intermediate |
Microsoft and Us Treasury Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and Us Treasury
The main advantage of trading using opposite Microsoft and Us Treasury positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Us Treasury 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 Us Treasury will offset losses from the drop in Us Treasury's long position.| Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Adobe Systems Incorporated | Microsoft vs. Crowdstrike Holdings |
| Us Treasury vs. Us Treasury Long Term | Us Treasury vs. T Rowe Price | Us Treasury vs. T Rowe Price | Us Treasury vs. T Rowe Price |
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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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