Correlation Between Bank of America and Check Point
Can any of the company-specific risk be diversified away by investing in both Bank of America and Check Point 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 Check Point 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 Check Point Software, you can compare the effects of market volatilities on Bank of America and Check Point 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 Check Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Check Point.
Diversification Opportunities for Bank of America and Check Point
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bank and Check is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Check Point Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Check Point Software 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 Check Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Check Point Software has no effect on the direction of Bank of America i.e., Bank of America and Check Point go up and down completely randomly.
Pair Corralation between Bank of America and Check Point
Considering the 90-day investment horizon Bank of America is expected to under-perform the Check Point. But the stock apears to be less risky and, when comparing its historical volatility, Bank of America is 1.04 times less risky than Check Point. The stock trades about -0.02 of its potential returns per unit of risk. The Check Point Software is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 17,885 in Check Point Software on December 28, 2024 and sell it today you would earn a total of 3,315 from holding Check Point Software or generate 18.54% 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. Check Point Software
Performance |
Timeline |
Bank of America |
Check Point Software |
Bank of America and Check Point Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Check Point
The main advantage of trading using opposite Bank of America and Check Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Check Point 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 Check Point will offset losses from the drop in Check Point's long position.Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Toronto Dominion Bank | Bank of America vs. Royal Bank of |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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