Correlation Between Bank of Communications and Sany Heavy
Specify exactly 2 symbols:
By analyzing existing cross correlation between Bank of Communications and Sany Heavy Energy, you can compare the effects of market volatilities on Bank of Communications and Sany Heavy 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 Bank of Communications with a short position of Sany Heavy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Communications and Sany Heavy.
Diversification Opportunities for Bank of Communications and Sany Heavy
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Sany is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Communications and Sany Heavy Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sany Heavy Energy and Bank of Communications 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 Bank of Communications are associated (or correlated) with Sany Heavy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sany Heavy Energy has no effect on the direction of Bank of Communications i.e., Bank of Communications and Sany Heavy go up and down completely randomly.
Pair Corralation between Bank of Communications and Sany Heavy
Assuming the 90 days trading horizon Bank of Communications is expected to generate 0.6 times more return on investment than Sany Heavy. However, Bank of Communications is 1.68 times less risky than Sany Heavy. It trades about 0.09 of its potential returns per unit of risk. Sany Heavy Energy is currently generating about 0.02 per unit of risk. If you would invest 444.00 in Bank of Communications on September 21, 2024 and sell it today you would earn a total of 305.00 from holding Bank of Communications or generate 68.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Communications vs. Sany Heavy Energy
Performance |
Timeline |
Bank of Communications |
Sany Heavy Energy |
Bank of Communications and Sany Heavy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Communications and Sany Heavy
The main advantage of trading using opposite Bank of Communications and Sany Heavy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Communications position performs unexpectedly, Sany Heavy 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 Sany Heavy will offset losses from the drop in Sany Heavy's long position.Bank of Communications vs. China Construction Bank | Bank of Communications vs. PetroChina Co Ltd | Bank of Communications vs. China Merchants Bank | Bank of Communications vs. CNOOC Limited |
Sany Heavy vs. Railway Signal Communication | Sany Heavy vs. Guangdong Shenglu Telecommunication | Sany Heavy vs. Allwin Telecommunication Co | Sany Heavy vs. Bank of Communications |
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Other Complementary Tools
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules |