Correlation Between Microsoft and National Retail
Can any of the company-specific risk be diversified away by investing in both Microsoft and National Retail 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 National Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and National Retail Properties, you can compare the effects of market volatilities on Microsoft and National Retail 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 National Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and National Retail.
Diversification Opportunities for Microsoft and National Retail
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Microsoft and National is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and National Retail Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Retail Prop 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 National Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Retail Prop has no effect on the direction of Microsoft i.e., Microsoft and National Retail go up and down completely randomly.
Pair Corralation between Microsoft and National Retail
Given the investment horizon of 90 days Microsoft is expected to under-perform the National Retail. In addition to that, Microsoft is 1.36 times more volatile than National Retail Properties. It trades about -0.14 of its total potential returns per unit of risk. National Retail Properties is currently generating about -0.11 per unit of volatility. If you would invest 3,845 in National Retail Properties on January 21, 2025 and sell it today you would lose (197.00) from holding National Retail Properties or give up 5.12% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Microsoft vs. National Retail Properties
Performance |
| Timeline |
| Microsoft |
| National Retail Prop |
Microsoft and National Retail Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and National Retail
The main advantage of trading using opposite Microsoft and National Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, National Retail 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 National Retail will offset losses from the drop in National Retail's long position.| Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Adobe Systems Incorporated | Microsoft vs. Crowdstrike Holdings |
| National Retail vs. Air Transport Services | National Retail vs. Nippon Light Metal | National Retail vs. MUTUIONLINE | National Retail vs. Semiconductor Manufacturing International |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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