Correlation Between Saurer Intelligent and Sinocat Environmental
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By analyzing existing cross correlation between Saurer Intelligent Technology and Sinocat Environmental Technology, you can compare the effects of market volatilities on Saurer Intelligent and Sinocat Environmental 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 Saurer Intelligent with a short position of Sinocat Environmental. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saurer Intelligent and Sinocat Environmental.
Diversification Opportunities for Saurer Intelligent and Sinocat Environmental
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Saurer and Sinocat is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Saurer Intelligent Technology and Sinocat Environmental Technolo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sinocat Environmental and Saurer Intelligent 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 Saurer Intelligent Technology are associated (or correlated) with Sinocat Environmental. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sinocat Environmental has no effect on the direction of Saurer Intelligent i.e., Saurer Intelligent and Sinocat Environmental go up and down completely randomly.
Pair Corralation between Saurer Intelligent and Sinocat Environmental
Assuming the 90 days trading horizon Saurer Intelligent Technology is expected to generate 0.93 times more return on investment than Sinocat Environmental. However, Saurer Intelligent Technology is 1.08 times less risky than Sinocat Environmental. It trades about 0.25 of its potential returns per unit of risk. Sinocat Environmental Technology is currently generating about 0.19 per unit of risk. If you would invest 135.00 in Saurer Intelligent Technology on September 4, 2024 and sell it today you would earn a total of 92.00 from holding Saurer Intelligent Technology or generate 68.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Saurer Intelligent Technology vs. Sinocat Environmental Technolo
Performance |
Timeline |
Saurer Intelligent |
Sinocat Environmental |
Saurer Intelligent and Sinocat Environmental Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Saurer Intelligent and Sinocat Environmental
The main advantage of trading using opposite Saurer Intelligent and Sinocat Environmental positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saurer Intelligent position performs unexpectedly, Sinocat Environmental 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 Sinocat Environmental will offset losses from the drop in Sinocat Environmental's long position.Saurer Intelligent vs. Industrial and Commercial | Saurer Intelligent vs. Agricultural Bank of | Saurer Intelligent vs. China Construction Bank | Saurer Intelligent vs. Bank of China |
Sinocat Environmental vs. Saurer Intelligent Technology | Sinocat Environmental vs. Dhc Software Co | Sinocat Environmental vs. Sinofibers Technology Co | Sinocat Environmental vs. Holitech Technology 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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