Correlation Between Bank of America and China Carbon
Can any of the company-specific risk be diversified away by investing in both Bank of America and China Carbon at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Bank of America and China Carbon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of America and China Carbon Graphit, you can compare the effects of market volatilities on Bank of America and China Carbon 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 China Carbon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and China Carbon.
Diversification Opportunities for Bank of America and China Carbon
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and China is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and China Carbon Graphit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Carbon Graphit 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 China Carbon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Carbon Graphit has no effect on the direction of Bank of America i.e., Bank of America and China Carbon go up and down completely randomly.
Pair Corralation between Bank of America and China Carbon
Considering the 90-day investment horizon Bank of America is expected to generate 2.54 times less return on investment than China Carbon. But when comparing it to its historical volatility, Bank of America is 6.81 times less risky than China Carbon. It trades about 0.06 of its potential returns per unit of risk. China Carbon Graphit is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 0.03 in China Carbon Graphit on September 3, 2024 and sell it today you would lose (0.02) from holding China Carbon Graphit or give up 66.67% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 99.8% |
| Values | Daily Returns |
Bank of America vs. China Carbon Graphit
Performance |
| Timeline |
| Bank of America |
| China Carbon Graphit |
Bank of America and China Carbon Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and China Carbon
The main advantage of trading using opposite Bank of America and China Carbon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, China Carbon 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 China Carbon will offset losses from the drop in China Carbon's long position.| Bank of America vs. Partner Communications | Bank of America vs. Merck Company | Bank of America vs. Western Midstream Partners | Bank of America vs. Edgewise Therapeutics |
| China Carbon vs. Focus Graphite | China Carbon vs. China Power Equipment | China Carbon vs. China Sun Grp | China Carbon vs. Northern Graphite |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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