Correlation Between Verizon Communications and Microsoft
Can any of the company-specific risk be diversified away by investing in both Verizon Communications and Microsoft 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 Verizon Communications and Microsoft into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Verizon Communications and Microsoft, you can compare the effects of market volatilities on Verizon Communications and Microsoft 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 Verizon Communications with a short position of Microsoft. Check out your portfolio center. Please also check ongoing floating volatility patterns of Verizon Communications and Microsoft.
Diversification Opportunities for Verizon Communications and Microsoft
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Verizon and Microsoft is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Verizon Communications and Microsoft in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microsoft and Verizon Communications 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 Verizon Communications are associated (or correlated) with Microsoft. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microsoft has no effect on the direction of Verizon Communications i.e., Verizon Communications and Microsoft go up and down completely randomly.
Pair Corralation between Verizon Communications and Microsoft
Assuming the 90 days trading horizon Verizon Communications is expected to generate 2.89 times less return on investment than Microsoft. In addition to that, Verizon Communications is 1.02 times more volatile than Microsoft. It trades about 0.04 of its total potential returns per unit of risk. Microsoft is currently generating about 0.11 per unit of volatility. If you would invest 5,044 in Microsoft on October 4, 2024 and sell it today you would earn a total of 6,075 from holding Microsoft or generate 120.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Verizon Communications vs. Microsoft
Performance |
Timeline |
Verizon Communications |
Microsoft |
Verizon Communications and Microsoft Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Verizon Communications and Microsoft
The main advantage of trading using opposite Verizon Communications and Microsoft positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Verizon Communications position performs unexpectedly, Microsoft 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 Microsoft will offset losses from the drop in Microsoft's long position.Verizon Communications vs. T Mobile | Verizon Communications vs. Telefnica SA | Verizon Communications vs. Lumen Technologies, | Verizon Communications vs. TIM SA |
Microsoft vs. Oracle | Microsoft vs. Bread Financial Holdings | Microsoft vs. Prudential Financial | Microsoft vs. salesforce inc |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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