Correlation Between Sinocat Environmental and Sinosteel Luonai
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By analyzing existing cross correlation between Sinocat Environmental Technology and Sinosteel Luonai Materials, you can compare the effects of market volatilities on Sinocat Environmental and Sinosteel Luonai 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 Sinocat Environmental with a short position of Sinosteel Luonai. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sinocat Environmental and Sinosteel Luonai.
Diversification Opportunities for Sinocat Environmental and Sinosteel Luonai
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sinocat and Sinosteel is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Sinocat Environmental Technolo and Sinosteel Luonai Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sinosteel Luonai Mat and Sinocat 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 Sinocat Environmental Technology are associated (or correlated) with Sinosteel Luonai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sinosteel Luonai Mat has no effect on the direction of Sinocat Environmental i.e., Sinocat Environmental and Sinosteel Luonai go up and down completely randomly.
Pair Corralation between Sinocat Environmental and Sinosteel Luonai
Assuming the 90 days trading horizon Sinocat Environmental Technology is expected to generate 1.14 times more return on investment than Sinosteel Luonai. However, Sinocat Environmental is 1.14 times more volatile than Sinosteel Luonai Materials. It trades about 0.3 of its potential returns per unit of risk. Sinosteel Luonai Materials is currently generating about 0.19 per unit of risk. If you would invest 1,185 in Sinocat Environmental Technology on September 17, 2024 and sell it today you would earn a total of 1,192 from holding Sinocat Environmental Technology or generate 100.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sinocat Environmental Technolo vs. Sinosteel Luonai Materials
Performance |
Timeline |
Sinocat Environmental |
Sinosteel Luonai Mat |
Sinocat Environmental and Sinosteel Luonai Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sinocat Environmental and Sinosteel Luonai
The main advantage of trading using opposite Sinocat Environmental and Sinosteel Luonai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sinocat Environmental position performs unexpectedly, Sinosteel Luonai 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 Sinosteel Luonai will offset losses from the drop in Sinosteel Luonai's long position.Sinocat Environmental vs. BeiGene | Sinocat Environmental vs. Kweichow Moutai Co | Sinocat Environmental vs. Beijing Roborock Technology | Sinocat Environmental vs. G bits Network Technology |
Sinosteel Luonai vs. Changchun Faway Automobile | Sinosteel Luonai vs. Sinocat Environmental Technology | Sinosteel Luonai vs. Tongxing Environmental Protection | Sinosteel Luonai vs. Dongfeng Automobile Co |
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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