Correlation Between Micron Technology and Colgate Palmolive
Can any of the company-specific risk be diversified away by investing in both Micron Technology and Colgate Palmolive 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 Micron Technology and Colgate Palmolive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Micron Technology and Colgate Palmolive, you can compare the effects of market volatilities on Micron Technology and Colgate Palmolive 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 Micron Technology with a short position of Colgate Palmolive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Micron Technology and Colgate Palmolive.
Diversification Opportunities for Micron Technology and Colgate Palmolive
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Micron and Colgate is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Micron Technology and Colgate Palmolive in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Colgate Palmolive and Micron Technology 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 Micron Technology are associated (or correlated) with Colgate Palmolive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Colgate Palmolive has no effect on the direction of Micron Technology i.e., Micron Technology and Colgate Palmolive go up and down completely randomly.
Pair Corralation between Micron Technology and Colgate Palmolive
Assuming the 90 days trading horizon Micron Technology is expected to generate 1.41 times more return on investment than Colgate Palmolive. However, Micron Technology is 1.41 times more volatile than Colgate Palmolive. It trades about 0.22 of its potential returns per unit of risk. Colgate Palmolive is currently generating about -0.07 per unit of risk. If you would invest 7,585 in Micron Technology on April 25, 2025 and sell it today you would earn a total of 2,812 from holding Micron Technology or generate 37.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Micron Technology vs. Colgate Palmolive
Performance |
Timeline |
Micron Technology |
Colgate Palmolive |
Micron Technology and Colgate Palmolive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Micron Technology and Colgate Palmolive
The main advantage of trading using opposite Micron Technology and Colgate Palmolive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Micron Technology position performs unexpectedly, Colgate Palmolive 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 Colgate Palmolive will offset losses from the drop in Colgate Palmolive's long position.Micron Technology vs. LPL Financial Holdings | Micron Technology vs. KB Financial Group | Micron Technology vs. Capital One Financial | Micron Technology vs. DXC Technology |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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