Correlation Between Microsoft and Booking Holdings
Can any of the company-specific risk be diversified away by investing in both Microsoft and Booking Holdings 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 Booking Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Booking Holdings, you can compare the effects of market volatilities on Microsoft and Booking Holdings 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 Booking Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Booking Holdings.
Diversification Opportunities for Microsoft and Booking Holdings
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Microsoft and Booking is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Booking Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Booking Holdings 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 Booking Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Booking Holdings has no effect on the direction of Microsoft i.e., Microsoft and Booking Holdings go up and down completely randomly.
Pair Corralation between Microsoft and Booking Holdings
Given the investment horizon of 90 days Microsoft is expected to generate 7.78 times less return on investment than Booking Holdings. But when comparing it to its historical volatility, Microsoft is 1.0 times less risky than Booking Holdings. It trades about 0.05 of its potential returns per unit of risk. Booking Holdings is currently generating about 0.39 of returns per unit of risk over similar time horizon. If you would invest 380,496 in Booking Holdings on September 2, 2024 and sell it today you would earn a total of 139,702 from holding Booking Holdings or generate 36.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Booking Holdings
Performance |
Timeline |
Microsoft |
Booking Holdings |
Microsoft and Booking Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Booking Holdings
The main advantage of trading using opposite Microsoft and Booking Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Booking Holdings 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 Booking Holdings will offset losses from the drop in Booking Holdings' long position.Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
Booking Holdings vs. TripAdvisor | Booking Holdings vs. Airbnb Inc | Booking Holdings vs. Royal Caribbean Cruises | Booking Holdings vs. Norwegian Cruise Line |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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