Correlation Between CHINA EDUCATION and ULTRA CLEAN
Can any of the company-specific risk be diversified away by investing in both CHINA EDUCATION 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 CHINA EDUCATION and ULTRA CLEAN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHINA EDUCATION GROUP and ULTRA CLEAN HLDGS, you can compare the effects of market volatilities on CHINA EDUCATION 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 CHINA EDUCATION with a short position of ULTRA CLEAN. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA EDUCATION and ULTRA CLEAN.
Diversification Opportunities for CHINA EDUCATION and ULTRA CLEAN
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between CHINA and ULTRA is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding CHINA EDUCATION GROUP and ULTRA CLEAN HLDGS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ULTRA CLEAN HLDGS and CHINA EDUCATION 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 CHINA EDUCATION GROUP 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 HLDGS has no effect on the direction of CHINA EDUCATION i.e., CHINA EDUCATION and ULTRA CLEAN go up and down completely randomly.
Pair Corralation between CHINA EDUCATION and ULTRA CLEAN
Assuming the 90 days horizon CHINA EDUCATION GROUP is expected to generate 1.65 times more return on investment than ULTRA CLEAN. However, CHINA EDUCATION is 1.65 times more volatile than ULTRA CLEAN HLDGS. It trades about 0.03 of its potential returns per unit of risk. ULTRA CLEAN HLDGS is currently generating about 0.02 per unit of risk. If you would invest 32.00 in CHINA EDUCATION GROUP on September 26, 2024 and sell it today you would earn a total of 10.00 from holding CHINA EDUCATION GROUP or generate 31.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CHINA EDUCATION GROUP vs. ULTRA CLEAN HLDGS
Performance |
Timeline |
CHINA EDUCATION GROUP |
ULTRA CLEAN HLDGS |
CHINA EDUCATION and ULTRA CLEAN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA EDUCATION and ULTRA CLEAN
The main advantage of trading using opposite CHINA EDUCATION and ULTRA CLEAN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA EDUCATION 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.CHINA EDUCATION vs. Apple Inc | CHINA EDUCATION vs. Apple Inc | CHINA EDUCATION vs. Apple Inc | CHINA EDUCATION vs. Apple Inc |
ULTRA CLEAN vs. CHINA EDUCATION GROUP | ULTRA CLEAN vs. China BlueChemical | ULTRA CLEAN vs. CHEMICAL INDUSTRIES | ULTRA CLEAN vs. TIANDE 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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