Correlation Between Changshu Ruite and ACM Research
Specify exactly 2 symbols:
By analyzing existing cross correlation between Changshu Ruite Electric and ACM Research Shanghai, you can compare the effects of market volatilities on Changshu Ruite 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 Changshu Ruite with a short position of ACM Research. Check out your portfolio center. Please also check ongoing floating volatility patterns of Changshu Ruite and ACM Research.
Diversification Opportunities for Changshu Ruite and ACM Research
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Changshu and ACM is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Changshu Ruite Electric 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 Changshu Ruite 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 Changshu Ruite Electric 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 Changshu Ruite i.e., Changshu Ruite and ACM Research go up and down completely randomly.
Pair Corralation between Changshu Ruite and ACM Research
Assuming the 90 days trading horizon Changshu Ruite is expected to generate 1.0 times less return on investment than ACM Research. But when comparing it to its historical volatility, Changshu Ruite Electric is 1.36 times less risky than ACM Research. It trades about 0.19 of its potential returns per unit of risk. ACM Research Shanghai is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 7,766 in ACM Research Shanghai on September 22, 2024 and sell it today you would earn a total of 2,852 from holding ACM Research Shanghai or generate 36.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Changshu Ruite Electric vs. ACM Research Shanghai
Performance |
Timeline |
Changshu Ruite Electric |
ACM Research Shanghai |
Changshu Ruite and ACM Research Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Changshu Ruite and ACM Research
The main advantage of trading using opposite Changshu Ruite and ACM Research positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Changshu Ruite 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.Changshu Ruite vs. Industrial and Commercial | Changshu Ruite vs. Agricultural Bank of | Changshu Ruite vs. China Construction Bank | Changshu Ruite vs. Bank of China |
ACM Research vs. Huasi Agricultural Development | ACM Research vs. Hengdian Entertainment Co | ACM Research vs. Long Yuan Construction | ACM Research vs. Shantui Construction Machinery |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Other Complementary Tools
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |