Correlation Between Micron Technology and Leland Thomson
Can any of the company-specific risk be diversified away by investing in both Micron Technology and Leland Thomson 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 Leland Thomson into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Micron Technology and Leland Thomson Reuters, you can compare the effects of market volatilities on Micron Technology and Leland Thomson 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 Leland Thomson. Check out your portfolio center. Please also check ongoing floating volatility patterns of Micron Technology and Leland Thomson.
Diversification Opportunities for Micron Technology and Leland Thomson
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Micron and Leland is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Micron Technology and Leland Thomson Reuters in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Leland Thomson Reuters 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 Leland Thomson. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Leland Thomson Reuters has no effect on the direction of Micron Technology i.e., Micron Technology and Leland Thomson go up and down completely randomly.
Pair Corralation between Micron Technology and Leland Thomson
Allowing for the 90-day total investment horizon Micron Technology is expected to generate 2.77 times more return on investment than Leland Thomson. However, Micron Technology is 2.77 times more volatile than Leland Thomson Reuters. It trades about -0.08 of its potential returns per unit of risk. Leland Thomson Reuters is currently generating about -0.27 per unit of risk. If you would invest 10,812 in Micron Technology on October 17, 2024 and sell it today you would lose (1,076) from holding Micron Technology or give up 9.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.0% |
Values | Daily Returns |
Micron Technology vs. Leland Thomson Reuters
Performance |
Timeline |
Micron Technology |
Leland Thomson Reuters |
Micron Technology and Leland Thomson Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Micron Technology and Leland Thomson
The main advantage of trading using opposite Micron Technology and Leland Thomson positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Micron Technology position performs unexpectedly, Leland Thomson 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 Leland Thomson will offset losses from the drop in Leland Thomson'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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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