Correlation Between Shin Etsu and Ultra Clean
Can any of the company-specific risk be diversified away by investing in both Shin Etsu 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 Shin Etsu and Ultra Clean into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shin Etsu Chemical Co and Ultra Clean Holdings, you can compare the effects of market volatilities on Shin Etsu 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 Shin Etsu with a short position of Ultra Clean. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shin Etsu and Ultra Clean.
Diversification Opportunities for Shin Etsu and Ultra Clean
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Shin and Ultra is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Shin Etsu Chemical Co 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 Shin Etsu 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 Shin Etsu Chemical Co 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 Shin Etsu i.e., Shin Etsu and Ultra Clean go up and down completely randomly.
Pair Corralation between Shin Etsu and Ultra Clean
Assuming the 90 days horizon Shin Etsu Chemical Co is expected to under-perform the Ultra Clean. But the stock apears to be less risky and, when comparing its historical volatility, Shin Etsu Chemical Co is 1.26 times less risky than Ultra Clean. The stock trades about -0.19 of its potential returns per unit of risk. The Ultra Clean Holdings is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 3,240 in Ultra Clean Holdings on September 20, 2024 and sell it today you would earn a total of 260.00 from holding Ultra Clean Holdings or generate 8.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Shin Etsu Chemical Co vs. Ultra Clean Holdings
Performance |
Timeline |
Shin Etsu Chemical |
Ultra Clean Holdings |
Shin Etsu and Ultra Clean Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shin Etsu and Ultra Clean
The main advantage of trading using opposite Shin Etsu and Ultra Clean positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shin Etsu 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.Shin Etsu vs. AIR LIQUIDE ADR | Shin Etsu vs. Ganfeng Lithium Co | Shin Etsu vs. Superior Plus Corp | Shin Etsu vs. SIVERS SEMICONDUCTORS AB |
Ultra Clean vs. PTT Global Chemical | Ultra Clean vs. Shin Etsu Chemical Co | Ultra Clean vs. TIANDE CHEMICAL | Ultra Clean vs. Quaker Chemical |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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