Correlation Between Shantui Construction and ACM Research
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By analyzing existing cross correlation between Shantui Construction Machinery and ACM Research Shanghai, you can compare the effects of market volatilities on Shantui Construction and ACM Research 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 Shantui Construction with a short position of ACM Research. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shantui Construction and ACM Research.
Diversification Opportunities for Shantui Construction and ACM Research
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Shantui and ACM is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Shantui Construction Machinery and ACM Research Shanghai in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ACM Research Shanghai and Shantui Construction 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 Shantui Construction Machinery are associated (or correlated) with ACM Research. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ACM Research Shanghai has no effect on the direction of Shantui Construction i.e., Shantui Construction and ACM Research go up and down completely randomly.
Pair Corralation between Shantui Construction and ACM Research
Assuming the 90 days trading horizon Shantui Construction Machinery is expected to generate 1.38 times more return on investment than ACM Research. However, Shantui Construction is 1.38 times more volatile than ACM Research Shanghai. It trades about -0.03 of its potential returns per unit of risk. ACM Research Shanghai is currently generating about -0.17 per unit of risk. If you would invest 977.00 in Shantui Construction Machinery on September 21, 2024 and sell it today you would lose (23.00) from holding Shantui Construction Machinery or give up 2.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.65% |
Values | Daily Returns |
Shantui Construction Machinery vs. ACM Research Shanghai
Performance |
Timeline |
Shantui Construction |
ACM Research Shanghai |
Shantui Construction and ACM Research Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shantui Construction and ACM Research
The main advantage of trading using opposite Shantui Construction and ACM Research positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shantui Construction position performs unexpectedly, ACM Research 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 ACM Research will offset losses from the drop in ACM Research's long position.The idea behind Shantui Construction Machinery and ACM Research Shanghai pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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