Correlation Between Verizon Communications and Caterpillar
Can any of the company-specific risk be diversified away by investing in both Verizon Communications and Caterpillar 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 Caterpillar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Verizon Communications and Caterpillar, you can compare the effects of market volatilities on Verizon Communications and Caterpillar 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 Caterpillar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Verizon Communications and Caterpillar.
Diversification Opportunities for Verizon Communications and Caterpillar
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Verizon and Caterpillar is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Verizon Communications and Caterpillar in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Caterpillar 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 Caterpillar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Caterpillar has no effect on the direction of Verizon Communications i.e., Verizon Communications and Caterpillar go up and down completely randomly.
Pair Corralation between Verizon Communications and Caterpillar
Allowing for the 90-day total investment horizon Verizon Communications is expected to generate 0.64 times more return on investment than Caterpillar. However, Verizon Communications is 1.56 times less risky than Caterpillar. It trades about 0.35 of its potential returns per unit of risk. Caterpillar is currently generating about -0.51 per unit of risk. If you would invest 4,064 in Verizon Communications on November 27, 2024 and sell it today you would earn a total of 268.00 from holding Verizon Communications or generate 6.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Verizon Communications vs. Caterpillar
Performance |
Timeline |
Verizon Communications |
Caterpillar |
Verizon Communications and Caterpillar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Verizon Communications and Caterpillar
The main advantage of trading using opposite Verizon Communications and Caterpillar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Verizon Communications position performs unexpectedly, Caterpillar 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 Caterpillar will offset losses from the drop in Caterpillar's long position.Verizon Communications vs. T Mobile | Verizon Communications vs. Lumen Technologies | Verizon Communications vs. Comcast Corp | Verizon Communications vs. ATT Inc |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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