Correlation Between CHINA TONTINE and CHEMICAL INDUSTRIES
Can any of the company-specific risk be diversified away by investing in both CHINA TONTINE and CHEMICAL INDUSTRIES 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 TONTINE and CHEMICAL INDUSTRIES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHINA TONTINE WINES and CHEMICAL INDUSTRIES, you can compare the effects of market volatilities on CHINA TONTINE and CHEMICAL INDUSTRIES 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 TONTINE with a short position of CHEMICAL INDUSTRIES. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA TONTINE and CHEMICAL INDUSTRIES.
Diversification Opportunities for CHINA TONTINE and CHEMICAL INDUSTRIES
1.0 | Correlation Coefficient |
No risk reduction
The 3 months correlation between CHINA and CHEMICAL is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding CHINA TONTINE WINES and CHEMICAL INDUSTRIES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHEMICAL INDUSTRIES and CHINA TONTINE 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 TONTINE WINES are associated (or correlated) with CHEMICAL INDUSTRIES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHEMICAL INDUSTRIES has no effect on the direction of CHINA TONTINE i.e., CHINA TONTINE and CHEMICAL INDUSTRIES go up and down completely randomly.
Pair Corralation between CHINA TONTINE and CHEMICAL INDUSTRIES
Assuming the 90 days trading horizon CHINA TONTINE WINES is expected to generate 164.32 times more return on investment than CHEMICAL INDUSTRIES. However, CHINA TONTINE is 164.32 times more volatile than CHEMICAL INDUSTRIES. It trades about 0.04 of its potential returns per unit of risk. CHEMICAL INDUSTRIES is currently generating about 0.06 per unit of risk. If you would invest 0.70 in CHINA TONTINE WINES on October 4, 2024 and sell it today you would earn a total of 6.30 from holding CHINA TONTINE WINES or generate 900.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
CHINA TONTINE WINES vs. CHEMICAL INDUSTRIES
Performance |
Timeline |
CHINA TONTINE WINES |
CHEMICAL INDUSTRIES |
CHINA TONTINE and CHEMICAL INDUSTRIES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA TONTINE and CHEMICAL INDUSTRIES
The main advantage of trading using opposite CHINA TONTINE and CHEMICAL INDUSTRIES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA TONTINE position performs unexpectedly, CHEMICAL INDUSTRIES 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 CHEMICAL INDUSTRIES will offset losses from the drop in CHEMICAL INDUSTRIES's long position.CHINA TONTINE vs. Applied Materials | CHINA TONTINE vs. NEWELL RUBBERMAID | CHINA TONTINE vs. Materialise NV | CHINA TONTINE vs. Plastic Omnium |
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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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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