Correlation Between Bank of America and DTC Industries
Can any of the company-specific risk be diversified away by investing in both Bank of America and DTC Industries 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 DTC Industries 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 DTC Industries Public, you can compare the effects of market volatilities on Bank of America and DTC Industries 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 DTC Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and DTC Industries.
Diversification Opportunities for Bank of America and DTC Industries
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and DTC is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and DTC Industries Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DTC Industries Public 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 DTC Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DTC Industries Public has no effect on the direction of Bank of America i.e., Bank of America and DTC Industries go up and down completely randomly.
Pair Corralation between Bank of America and DTC Industries
Considering the 90-day investment horizon Bank of America is expected to generate 19.77 times less return on investment than DTC Industries. But when comparing it to its historical volatility, Bank of America is 43.92 times less risky than DTC Industries. It trades about 0.13 of its potential returns per unit of risk. DTC Industries Public is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 2,851 in DTC Industries Public on September 2, 2024 and sell it today you would earn a total of 99.00 from holding DTC Industries Public or generate 3.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.77% |
Values | Daily Returns |
Bank of America vs. DTC Industries Public
Performance |
Timeline |
Bank of America |
DTC Industries Public |
Bank of America and DTC Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and DTC Industries
The main advantage of trading using opposite Bank of America and DTC Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, DTC Industries 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 DTC Industries will offset losses from the drop in DTC Industries' long position.Bank of America vs. Citigroup | Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Montreal |
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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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