Correlation Between Micron Technology and SunLink Health
Can any of the company-specific risk be diversified away by investing in both Micron Technology and SunLink Health 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 SunLink Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Micron Technology and SunLink Health Systems, you can compare the effects of market volatilities on Micron Technology and SunLink Health 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 SunLink Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Micron Technology and SunLink Health.
Diversification Opportunities for Micron Technology and SunLink Health
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Micron and SunLink is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Micron Technology and SunLink Health Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SunLink Health Systems 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 SunLink Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SunLink Health Systems has no effect on the direction of Micron Technology i.e., Micron Technology and SunLink Health go up and down completely randomly.
Pair Corralation between Micron Technology and SunLink Health
Allowing for the 90-day total investment horizon Micron Technology is expected to generate 0.63 times more return on investment than SunLink Health. However, Micron Technology is 1.59 times less risky than SunLink Health. It trades about 0.06 of its potential returns per unit of risk. SunLink Health Systems is currently generating about 0.0 per unit of risk. If you would invest 6,098 in Micron Technology on September 11, 2024 and sell it today you would earn a total of 4,184 from holding Micron Technology or generate 68.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Micron Technology vs. SunLink Health Systems
Performance |
Timeline |
Micron Technology |
SunLink Health Systems |
Micron Technology and SunLink Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Micron Technology and SunLink Health
The main advantage of trading using opposite Micron Technology and SunLink Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Micron Technology position performs unexpectedly, SunLink Health 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 SunLink Health will offset losses from the drop in SunLink Health's long position.Micron Technology vs. NVIDIA | Micron Technology vs. Intel | Micron Technology vs. Taiwan Semiconductor Manufacturing | Micron Technology vs. Marvell Technology Group |
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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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