Correlation Between Ultra Clean and STMICROELECTRONICS
Can any of the company-specific risk be diversified away by investing in both Ultra Clean and STMICROELECTRONICS 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 Ultra Clean and STMICROELECTRONICS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ultra Clean Holdings and STMICROELECTRONICS, you can compare the effects of market volatilities on Ultra Clean and STMICROELECTRONICS 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 Ultra Clean with a short position of STMICROELECTRONICS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ultra Clean and STMICROELECTRONICS.
Diversification Opportunities for Ultra Clean and STMICROELECTRONICS
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ultra and STMICROELECTRONICS is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Ultra Clean Holdings and STMICROELECTRONICS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STMICROELECTRONICS and Ultra Clean 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 Ultra Clean Holdings are associated (or correlated) with STMICROELECTRONICS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STMICROELECTRONICS has no effect on the direction of Ultra Clean i.e., Ultra Clean and STMICROELECTRONICS go up and down completely randomly.
Pair Corralation between Ultra Clean and STMICROELECTRONICS
Assuming the 90 days horizon Ultra Clean is expected to generate 1.92 times less return on investment than STMICROELECTRONICS. In addition to that, Ultra Clean is 1.68 times more volatile than STMICROELECTRONICS. It trades about 0.08 of its total potential returns per unit of risk. STMICROELECTRONICS is currently generating about 0.27 per unit of volatility. If you would invest 1,924 in STMICROELECTRONICS on April 24, 2025 and sell it today you would earn a total of 874.00 from holding STMICROELECTRONICS or generate 45.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ultra Clean Holdings vs. STMICROELECTRONICS
Performance |
Timeline |
Ultra Clean Holdings |
STMICROELECTRONICS |
Ultra Clean and STMICROELECTRONICS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ultra Clean and STMICROELECTRONICS
The main advantage of trading using opposite Ultra Clean and STMICROELECTRONICS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ultra Clean position performs unexpectedly, STMICROELECTRONICS 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 STMICROELECTRONICS will offset losses from the drop in STMICROELECTRONICS's long position.Ultra Clean vs. Melco Resorts Entertainment | Ultra Clean vs. Townsquare Media | Ultra Clean vs. XTANT MEDICAL HLDGS | Ultra Clean vs. Golden Entertainment |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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