Correlation Between GEELY AUTOMOBILE and Bank of America
Can any of the company-specific risk be diversified away by investing in both GEELY AUTOMOBILE and Bank of America 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 GEELY AUTOMOBILE and Bank of America into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GEELY AUTOMOBILE and Verizon Communications, you can compare the effects of market volatilities on GEELY AUTOMOBILE and Bank of America 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 GEELY AUTOMOBILE with a short position of Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of GEELY AUTOMOBILE and Bank of America.
Diversification Opportunities for GEELY AUTOMOBILE and Bank of America
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GEELY and Bank is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding GEELY AUTOMOBILE and Verizon Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Verizon Communications and GEELY AUTOMOBILE 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 GEELY AUTOMOBILE are associated (or correlated) with Bank of America. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Verizon Communications has no effect on the direction of GEELY AUTOMOBILE i.e., GEELY AUTOMOBILE and Bank of America go up and down completely randomly.
Pair Corralation between GEELY AUTOMOBILE and Bank of America
Assuming the 90 days trading horizon GEELY AUTOMOBILE is expected to generate 1.78 times more return on investment than Bank of America. However, GEELY AUTOMOBILE is 1.78 times more volatile than Verizon Communications. It trades about 0.06 of its potential returns per unit of risk. Verizon Communications is currently generating about 0.1 per unit of risk. If you would invest 181.00 in GEELY AUTOMOBILE on December 29, 2024 and sell it today you would earn a total of 19.00 from holding GEELY AUTOMOBILE or generate 10.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
GEELY AUTOMOBILE vs. Verizon Communications
Performance |
Timeline |
GEELY AUTOMOBILE |
Verizon Communications |
GEELY AUTOMOBILE and Bank of America Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GEELY AUTOMOBILE and Bank of America
The main advantage of trading using opposite GEELY AUTOMOBILE and Bank of America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GEELY AUTOMOBILE position performs unexpectedly, Bank of America 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 Bank of America will offset losses from the drop in Bank of America's long position.GEELY AUTOMOBILE vs. CENTURIA OFFICE REIT | GEELY AUTOMOBILE vs. CITY OFFICE REIT | GEELY AUTOMOBILE vs. PICKN PAY STORES | GEELY AUTOMOBILE vs. Fast Retailing Co |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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