Correlation Between Bank of America and Dentalcorp Holdings
Can any of the company-specific risk be diversified away by investing in both Bank of America and Dentalcorp Holdings 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 Dentalcorp Holdings 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 dentalcorp Holdings, you can compare the effects of market volatilities on Bank of America and Dentalcorp Holdings 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 Dentalcorp Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Dentalcorp Holdings.
Diversification Opportunities for Bank of America and Dentalcorp Holdings
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Dentalcorp is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and dentalcorp Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on dentalcorp Holdings 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 Dentalcorp Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of dentalcorp Holdings has no effect on the direction of Bank of America i.e., Bank of America and Dentalcorp Holdings go up and down completely randomly.
Pair Corralation between Bank of America and Dentalcorp Holdings
Assuming the 90 days trading horizon Bank of America is expected to generate 0.83 times more return on investment than Dentalcorp Holdings. However, Bank of America is 1.2 times less risky than Dentalcorp Holdings. It trades about 0.14 of its potential returns per unit of risk. dentalcorp Holdings is currently generating about -0.03 per unit of risk. If you would invest 2,183 in Bank of America on September 13, 2024 and sell it today you would earn a total of 213.00 from holding Bank of America or generate 9.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. dentalcorp Holdings
Performance |
Timeline |
Bank of America |
dentalcorp Holdings |
Bank of America and Dentalcorp Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Dentalcorp Holdings
The main advantage of trading using opposite Bank of America and Dentalcorp Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Dentalcorp Holdings 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 Dentalcorp Holdings will offset losses from the drop in Dentalcorp Holdings' long position.Bank of America vs. Jamieson Wellness | Bank of America vs. Reliq Health Technologies | Bank of America vs. Bausch Health Companies | Bank of America vs. Brookfield Asset Management |
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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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