Correlation Between Ultra Clean and Singapore Airlines
Can any of the company-specific risk be diversified away by investing in both Ultra Clean and Singapore Airlines 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 Singapore Airlines 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 Singapore Airlines Limited, you can compare the effects of market volatilities on Ultra Clean and Singapore Airlines 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 Singapore Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ultra Clean and Singapore Airlines.
Diversification Opportunities for Ultra Clean and Singapore Airlines
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Ultra and Singapore is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Ultra Clean Holdings and Singapore Airlines Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singapore Airlines 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 Singapore Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singapore Airlines has no effect on the direction of Ultra Clean i.e., Ultra Clean and Singapore Airlines go up and down completely randomly.
Pair Corralation between Ultra Clean and Singapore Airlines
Assuming the 90 days horizon Ultra Clean Holdings is expected to generate 2.18 times more return on investment than Singapore Airlines. However, Ultra Clean is 2.18 times more volatile than Singapore Airlines Limited. It trades about 0.03 of its potential returns per unit of risk. Singapore Airlines Limited is currently generating about 0.05 per unit of risk. If you would invest 2,935 in Ultra Clean Holdings on October 10, 2024 and sell it today you would earn a total of 765.00 from holding Ultra Clean Holdings or generate 26.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Ultra Clean Holdings vs. Singapore Airlines Limited
Performance |
Timeline |
Ultra Clean Holdings |
Singapore Airlines |
Ultra Clean and Singapore Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ultra Clean and Singapore Airlines
The main advantage of trading using opposite Ultra Clean and Singapore Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ultra Clean position performs unexpectedly, Singapore Airlines 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 Singapore Airlines will offset losses from the drop in Singapore Airlines' long position.Ultra Clean vs. VIENNA INSURANCE GR | Ultra Clean vs. Tower Semiconductor | Ultra Clean vs. Direct Line Insurance | Ultra Clean vs. Goosehead Insurance |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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