Correlation Between Microsoft and Event Hospitality
Can any of the company-specific risk be diversified away by investing in both Microsoft and Event Hospitality 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 Event Hospitality into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Event Hospitality and, you can compare the effects of market volatilities on Microsoft and Event Hospitality 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 Event Hospitality. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Event Hospitality.
Diversification Opportunities for Microsoft and Event Hospitality
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Microsoft and Event is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Event Hospitality and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Event Hospitality 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 Event Hospitality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Event Hospitality has no effect on the direction of Microsoft i.e., Microsoft and Event Hospitality go up and down completely randomly.
Pair Corralation between Microsoft and Event Hospitality
Assuming the 90 days trading horizon Microsoft is expected to generate 0.76 times more return on investment than Event Hospitality. However, Microsoft is 1.31 times less risky than Event Hospitality. It trades about 0.04 of its potential returns per unit of risk. Event Hospitality and is currently generating about 0.02 per unit of risk. If you would invest 37,532 in Microsoft on September 1, 2024 and sell it today you would earn a total of 2,313 from holding Microsoft or generate 6.16% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 99.24% |
| Values | Daily Returns |
Microsoft vs. Event Hospitality and
Performance |
| Timeline |
| Microsoft |
| Event Hospitality |
Microsoft and Event Hospitality Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and Event Hospitality
The main advantage of trading using opposite Microsoft and Event Hospitality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Event Hospitality 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 Event Hospitality will offset losses from the drop in Event Hospitality's long position.| Microsoft vs. Gold Road Resources | Microsoft vs. Air Transport Services | Microsoft vs. Taiwan Semiconductor Manufacturing | Microsoft vs. Nordic Semiconductor ASA |
| Event Hospitality vs. ARDAGH METAL PACDL 0001 | Event Hospitality vs. Scandinavian Tobacco Group | Event Hospitality vs. Ubisoft Entertainment SA | Event Hospitality vs. Playa Hotels Resorts |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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