Correlation Between NYSE Composite and Ultra Clean

Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Ultra Clean 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 NYSE Composite and Ultra Clean into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between NYSE Composite and Ultra Clean Holdings, you can compare the effects of market volatilities on NYSE Composite and Ultra Clean 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 NYSE Composite with a short position of Ultra Clean. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Ultra Clean.

Diversification Opportunities for NYSE Composite and Ultra Clean

0.16

Correlation Coefficient

NYSE Composite  Ultra Clean

Average diversification

The 3 months correlation between NYSE and Ultra is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Ultra Clean Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ultra Clean Holdings and NYSE Composite 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 NYSE Composite are associated (or correlated) with Ultra Clean. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ultra Clean Holdings has no effect on the direction of NYSE Composite i.e., NYSE Composite and Ultra Clean go up and down completely randomly.

Pair Corralation between NYSE Composite and Ultra Clean

Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.15 times more return on investment than Ultra Clean. However, NYSE Composite is 6.71 times less risky than Ultra Clean. It trades about -0.04 of its potential returns per unit of risk. Ultra Clean Holdings is currently generating about -0.12 per unit of risk. If you would invest  2,027,204  in NYSE Composite on November 29, 2024 and sell it today you would lose (33,919) from holding NYSE Composite or give up 1.67% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

NYSE Composite  vs.  Ultra Clean Holdings

Pair Trading with NYSE Composite and Ultra Clean

The main advantage of trading using opposite NYSE Composite and Ultra Clean positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Ultra Clean 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 Ultra Clean will offset losses from the drop in Ultra Clean's long position.

The idea behind NYSE Composite and Ultra Clean Holdings pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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.