Correlation Between Ultra Clean and Century Aluminum
Can any of the company-specific risk be diversified away by investing in both Ultra Clean and Century Aluminum 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 Century Aluminum 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 Century Aluminum, you can compare the effects of market volatilities on Ultra Clean and Century Aluminum 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 Century Aluminum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ultra Clean and Century Aluminum.
Diversification Opportunities for Ultra Clean and Century Aluminum
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Ultra and Century is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Ultra Clean Holdings and Century Aluminum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Century Aluminum 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 Century Aluminum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Century Aluminum has no effect on the direction of Ultra Clean i.e., Ultra Clean and Century Aluminum go up and down completely randomly.
Pair Corralation between Ultra Clean and Century Aluminum
Given the investment horizon of 90 days Ultra Clean is expected to generate 4.62 times less return on investment than Century Aluminum. But when comparing it to its historical volatility, Ultra Clean Holdings is 1.14 times less risky than Century Aluminum. It trades about 0.05 of its potential returns per unit of risk. Century Aluminum is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 1,364 in Century Aluminum on September 13, 2024 and sell it today you would earn a total of 779.00 from holding Century Aluminum or generate 57.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ultra Clean Holdings vs. Century Aluminum
Performance |
Timeline |
Ultra Clean Holdings |
Century Aluminum |
Ultra Clean and Century Aluminum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ultra Clean and Century Aluminum
The main advantage of trading using opposite Ultra Clean and Century Aluminum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ultra Clean position performs unexpectedly, Century Aluminum 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 Century Aluminum will offset losses from the drop in Century Aluminum's long position.Ultra Clean vs. ON Semiconductor | Ultra Clean vs. Monolithic Power Systems | Ultra Clean vs. Globalfoundries | Ultra Clean vs. Wisekey International Holding |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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