Correlation Between Bank of America and CapitaLand Investment
Can any of the company-specific risk be diversified away by investing in both Bank of America and CapitaLand Investment 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 CapitaLand Investment 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 CapitaLand Investment Limited, you can compare the effects of market volatilities on Bank of America and CapitaLand Investment 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 CapitaLand Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and CapitaLand Investment.
Diversification Opportunities for Bank of America and CapitaLand Investment
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and CapitaLand is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and CapitaLand Investment Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CapitaLand Investment 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 CapitaLand Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CapitaLand Investment has no effect on the direction of Bank of America i.e., Bank of America and CapitaLand Investment go up and down completely randomly.
Pair Corralation between Bank of America and CapitaLand Investment
Considering the 90-day investment horizon Bank of America is expected to generate 0.77 times more return on investment than CapitaLand Investment. However, Bank of America is 1.31 times less risky than CapitaLand Investment. It trades about -0.02 of its potential returns per unit of risk. CapitaLand Investment Limited is currently generating about -0.13 per unit of risk. If you would invest 4,363 in Bank of America on December 29, 2024 and sell it today you would lose (107.00) from holding Bank of America or give up 2.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. CapitaLand Investment Limited
Performance |
Timeline |
Bank of America |
CapitaLand Investment |
Bank of America and CapitaLand Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and CapitaLand Investment
The main advantage of trading using opposite Bank of America and CapitaLand Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, CapitaLand Investment 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 CapitaLand Investment will offset losses from the drop in CapitaLand Investment's long position.Bank of America vs. PJT Partners | Bank of America vs. National Bank Holdings | Bank of America vs. FB Financial Corp | Bank of America vs. Northrim BanCorp |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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