Correlation Between Microsoft and Schlumberger
Can any of the company-specific risk be diversified away by investing in both Microsoft and Schlumberger 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 Schlumberger into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Schlumberger Limited, you can compare the effects of market volatilities on Microsoft and Schlumberger 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 Schlumberger. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Schlumberger.
Diversification Opportunities for Microsoft and Schlumberger
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Microsoft and Schlumberger is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Schlumberger Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Schlumberger Limited 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 Schlumberger. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Schlumberger Limited has no effect on the direction of Microsoft i.e., Microsoft and Schlumberger go up and down completely randomly.
Pair Corralation between Microsoft and Schlumberger
Given the investment horizon of 90 days Microsoft is expected to under-perform the Schlumberger. But the stock apears to be less risky and, when comparing its historical volatility, Microsoft is 1.34 times less risky than Schlumberger. The stock trades about -0.11 of its potential returns per unit of risk. The Schlumberger Limited is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 77,256 in Schlumberger Limited on December 30, 2024 and sell it today you would earn a total of 8,407 from holding Schlumberger Limited or generate 10.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Schlumberger Limited
Performance |
Timeline |
Microsoft |
Schlumberger Limited |
Microsoft and Schlumberger Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Schlumberger
The main advantage of trading using opposite Microsoft and Schlumberger positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Schlumberger 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 Schlumberger will offset losses from the drop in Schlumberger's long position.Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Adobe Systems Incorporated | Microsoft vs. Crowdstrike Holdings |
Schlumberger vs. KB Home | Schlumberger vs. Samsung Electronics Co | Schlumberger vs. Verizon Communications | Schlumberger vs. CVS Health |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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