Correlation Between Bank of America Corp and CeoTronics
Can any of the company-specific risk be diversified away by investing in both Bank of America Corp and CeoTronics 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 Corp and CeoTronics 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 CeoTronics AG, you can compare the effects of market volatilities on Bank of America Corp and CeoTronics 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 Corp with a short position of CeoTronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America Corp and CeoTronics.
Diversification Opportunities for Bank of America Corp and CeoTronics
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and CeoTronics is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and CeoTronics AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CeoTronics AG and Bank of America Corp 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 CeoTronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CeoTronics AG has no effect on the direction of Bank of America Corp i.e., Bank of America Corp and CeoTronics go up and down completely randomly.
Pair Corralation between Bank of America Corp and CeoTronics
Assuming the 90 days trading horizon Bank of America is expected to under-perform the CeoTronics. But the stock apears to be less risky and, when comparing its historical volatility, Bank of America is 1.25 times less risky than CeoTronics. The stock trades about -0.08 of its potential returns per unit of risk. The CeoTronics AG is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 685.00 in CeoTronics AG on December 5, 2024 and sell it today you would earn a total of 30.00 from holding CeoTronics AG or generate 4.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
Bank of America vs. CeoTronics AG
Performance |
Timeline |
Bank of America Corp |
CeoTronics AG |
Bank of America Corp and CeoTronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America Corp and CeoTronics
The main advantage of trading using opposite Bank of America Corp and CeoTronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America Corp position performs unexpectedly, CeoTronics 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 CeoTronics will offset losses from the drop in CeoTronics' long position.Bank of America Corp vs. Yuexiu Transport Infrastructure | Bank of America Corp vs. Aluminum of | Bank of America Corp vs. FIREWEED METALS P | Bank of America Corp vs. Fortescue Metals Group |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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