Correlation Between Bank of America and Sichuan Jinshi
Specify exactly 2 symbols:
By analyzing existing cross correlation between Bank of America and Sichuan Jinshi Technology, you can compare the effects of market volatilities on Bank of America and Sichuan Jinshi 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 America with a short position of Sichuan Jinshi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Sichuan Jinshi.
Diversification Opportunities for Bank of America and Sichuan Jinshi
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Sichuan is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Sichuan Jinshi Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sichuan Jinshi Technology and Bank of America 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 America are associated (or correlated) with Sichuan Jinshi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sichuan Jinshi Technology has no effect on the direction of Bank of America i.e., Bank of America and Sichuan Jinshi go up and down completely randomly.
Pair Corralation between Bank of America and Sichuan Jinshi
Considering the 90-day investment horizon Bank of America is expected to generate 0.57 times more return on investment than Sichuan Jinshi. However, Bank of America is 1.75 times less risky than Sichuan Jinshi. It trades about 0.1 of its potential returns per unit of risk. Sichuan Jinshi Technology is currently generating about -0.01 per unit of risk. If you would invest 2,820 in Bank of America on August 31, 2024 and sell it today you would earn a total of 1,931 from holding Bank of America or generate 68.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.99% |
Values | Daily Returns |
Bank of America vs. Sichuan Jinshi Technology
Performance |
Timeline |
Bank of America |
Sichuan Jinshi Technology |
Bank of America and Sichuan Jinshi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Sichuan Jinshi
The main advantage of trading using opposite Bank of America and Sichuan Jinshi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Sichuan Jinshi 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 Sichuan Jinshi will offset losses from the drop in Sichuan Jinshi's long position.Bank of America vs. RLJ Lodging Trust | Bank of America vs. Aquagold International | Bank of America vs. Stepstone Group | Bank of America vs. Morningstar Unconstrained Allocation |
Sichuan Jinshi vs. Guilin Seamild Foods | Sichuan Jinshi vs. Zhengzhou Qianweiyangchu Food | Sichuan Jinshi vs. HaiXin Foods Co | Sichuan Jinshi vs. Ligao Foods CoLtd |
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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Other Complementary Tools
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |