Correlation Between Microsoft and Discover Financial
Can any of the company-specific risk be diversified away by investing in both Microsoft and Discover Financial 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 Discover Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Discover Financial Services, you can compare the effects of market volatilities on Microsoft and Discover Financial 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 Discover Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Discover Financial.
Diversification Opportunities for Microsoft and Discover Financial
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Microsoft and Discover is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Discover Financial Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Discover Financial 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 Discover Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Discover Financial has no effect on the direction of Microsoft i.e., Microsoft and Discover Financial go up and down completely randomly.
Pair Corralation between Microsoft and Discover Financial
Given the investment horizon of 90 days Microsoft is expected to generate 1.13 times less return on investment than Discover Financial. But when comparing it to its historical volatility, Microsoft is 1.68 times less risky than Discover Financial. It trades about 0.35 of its potential returns per unit of risk. Discover Financial Services is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 18,486 in Discover Financial Services on April 25, 2025 and sell it today you would earn a total of 1,519 from holding Discover Financial Services or generate 8.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 27.87% |
Values | Daily Returns |
Microsoft vs. Discover Financial Services
Performance |
Timeline |
Microsoft |
Discover Financial |
Risk-Adjusted Performance
Solid
Weak | Strong |
Microsoft and Discover Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Discover Financial
The main advantage of trading using opposite Microsoft and Discover Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Discover Financial 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 Discover Financial will offset losses from the drop in Discover Financial's long position.Microsoft vs. Palantir Technologies Class | Microsoft vs. Crowdstrike Holdings | Microsoft vs. Oracle | Microsoft vs. CoreWeave, Class A |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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