Correlation Between Bank of America and Royal Bank
Can any of the company-specific risk be diversified away by investing in both Bank of America and Royal Bank 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 Royal Bank 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 Royal Bank of, you can compare the effects of market volatilities on Bank of America and Royal Bank 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 Royal Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Royal Bank.
Diversification Opportunities for Bank of America and Royal Bank
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Bank and Royal is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Royal Bank of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Royal Bank 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 Royal Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Royal Bank has no effect on the direction of Bank of America i.e., Bank of America and Royal Bank go up and down completely randomly.
Pair Corralation between Bank of America and Royal Bank
Assuming the 90 days trading horizon Bank of America is expected to under-perform the Royal Bank. But the preferred stock apears to be less risky and, when comparing its historical volatility, Bank of America is 3.17 times less risky than Royal Bank. The preferred stock trades about -0.09 of its potential returns per unit of risk. The Royal Bank of is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 12,147 in Royal Bank of on September 16, 2024 and sell it today you would earn a total of 303.00 from holding Royal Bank of or generate 2.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. Royal Bank of
Performance |
Timeline |
Bank of America |
Royal Bank |
Bank of America and Royal Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Royal Bank
The main advantage of trading using opposite Bank of America and Royal Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Royal Bank 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 Royal Bank will offset losses from the drop in Royal Bank's long position.Bank of America vs. Wells Fargo | Bank of America vs. Wells Fargo | Bank of America vs. Bank of America | Bank of America vs. Wells Fargo |
Royal Bank vs. Canadian Imperial Bank | Royal Bank vs. Bank of Montreal | Royal Bank vs. Bank of Nova | Royal Bank vs. Bank of America |
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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