Correlation Between Micron Technology and Scandi Standard
Can any of the company-specific risk be diversified away by investing in both Micron Technology and Scandi Standard 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 Scandi Standard into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Micron Technology and Scandi Standard publ, you can compare the effects of market volatilities on Micron Technology and Scandi Standard 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 Scandi Standard. Check out your portfolio center. Please also check ongoing floating volatility patterns of Micron Technology and Scandi Standard.
Diversification Opportunities for Micron Technology and Scandi Standard
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Micron and Scandi is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Micron Technology and Scandi Standard publ in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scandi Standard publ 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 Scandi Standard. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scandi Standard publ has no effect on the direction of Micron Technology i.e., Micron Technology and Scandi Standard go up and down completely randomly.
Pair Corralation between Micron Technology and Scandi Standard
Allowing for the 90-day total investment horizon Micron Technology is expected to generate 1.73 times more return on investment than Scandi Standard. However, Micron Technology is 1.73 times more volatile than Scandi Standard publ. It trades about 0.07 of its potential returns per unit of risk. Scandi Standard publ is currently generating about 0.08 per unit of risk. If you would invest 4,942 in Micron Technology on September 14, 2024 and sell it today you would earn a total of 5,308 from holding Micron Technology or generate 107.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.4% |
Values | Daily Returns |
Micron Technology vs. Scandi Standard publ
Performance |
Timeline |
Micron Technology |
Scandi Standard publ |
Micron Technology and Scandi Standard Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Micron Technology and Scandi Standard
The main advantage of trading using opposite Micron Technology and Scandi Standard positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Micron Technology position performs unexpectedly, Scandi Standard 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 Scandi Standard will offset losses from the drop in Scandi Standard's long position.Micron Technology vs. ON Semiconductor | Micron Technology vs. Globalfoundries | Micron Technology vs. Wisekey International Holding | Micron Technology vs. Nano Labs |
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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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