Correlation Between Science Environmental and Shanghai Material
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By analyzing existing cross correlation between Science Environmental Protection and Shanghai Material Trading, you can compare the effects of market volatilities on Science Environmental and Shanghai Material 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 Science Environmental with a short position of Shanghai Material. Check out your portfolio center. Please also check ongoing floating volatility patterns of Science Environmental and Shanghai Material.
Diversification Opportunities for Science Environmental and Shanghai Material
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Science and Shanghai is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Science Environmental Protecti and Shanghai Material Trading in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanghai Material Trading and Science Environmental 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 Science Environmental Protection are associated (or correlated) with Shanghai Material. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanghai Material Trading has no effect on the direction of Science Environmental i.e., Science Environmental and Shanghai Material go up and down completely randomly.
Pair Corralation between Science Environmental and Shanghai Material
Assuming the 90 days trading horizon Science Environmental is expected to generate 1.26 times less return on investment than Shanghai Material. But when comparing it to its historical volatility, Science Environmental Protection is 1.13 times less risky than Shanghai Material. It trades about 0.02 of its potential returns per unit of risk. Shanghai Material Trading is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 824.00 in Shanghai Material Trading on October 24, 2024 and sell it today you would earn a total of 117.00 from holding Shanghai Material Trading or generate 14.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Science Environmental Protecti vs. Shanghai Material Trading
Performance |
Timeline |
Science Environmental |
Shanghai Material Trading |
Science Environmental and Shanghai Material Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Science Environmental and Shanghai Material
The main advantage of trading using opposite Science Environmental and Shanghai Material positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Science Environmental position performs unexpectedly, Shanghai Material 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 Shanghai Material will offset losses from the drop in Shanghai Material's long position.Science Environmental vs. Kweichow Moutai Co | Science Environmental vs. Shenzhen Mindray Bio Medical | Science Environmental vs. Jiangsu Pacific Quartz | Science Environmental vs. G bits Network Technology |
Shanghai Material vs. Western Metal Materials | Shanghai Material vs. Bohai Leasing Co | Shanghai Material vs. Zhejiang Yongjin Metal | Shanghai Material vs. Tianshan Aluminum Group |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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