Correlation Between Microsoft and Retirement Living
Can any of the company-specific risk be diversified away by investing in both Microsoft and Retirement Living 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 Retirement Living into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Retirement Living Through, you can compare the effects of market volatilities on Microsoft and Retirement Living 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 Retirement Living. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Retirement Living.
Diversification Opportunities for Microsoft and Retirement Living
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Microsoft and Retirement is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Retirement Living Through in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Retirement Living Through 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 Retirement Living. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Retirement Living Through has no effect on the direction of Microsoft i.e., Microsoft and Retirement Living go up and down completely randomly.
Pair Corralation between Microsoft and Retirement Living
Given the investment horizon of 90 days Microsoft is expected to generate 2.47 times more return on investment than Retirement Living. However, Microsoft is 2.47 times more volatile than Retirement Living Through. It trades about 0.19 of its potential returns per unit of risk. Retirement Living Through is currently generating about 0.35 per unit of risk. If you would invest 40,554 in Microsoft on September 1, 2024 and sell it today you would earn a total of 1,792 from holding Microsoft or generate 4.42% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
Microsoft vs. Retirement Living Through
Performance |
| Timeline |
| Microsoft |
| Retirement Living Through |
Microsoft and Retirement Living Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and Retirement Living
The main advantage of trading using opposite Microsoft and Retirement Living positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Retirement Living 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 Retirement Living will offset losses from the drop in Retirement Living's long position.| Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
| Retirement Living vs. Federated Kaufmann Large | Retirement Living vs. T Rowe Price | Retirement Living vs. Victory Strategic Allocation | Retirement Living 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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