Correlation Between Bank of America and Gatekeeper Systems
Can any of the company-specific risk be diversified away by investing in both Bank of America and Gatekeeper Systems 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 Gatekeeper Systems 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 Gatekeeper Systems, you can compare the effects of market volatilities on Bank of America and Gatekeeper Systems 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 Gatekeeper Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Gatekeeper Systems.
Diversification Opportunities for Bank of America and Gatekeeper Systems
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Bank and Gatekeeper is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Gatekeeper Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gatekeeper Systems 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 Gatekeeper Systems. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gatekeeper Systems has no effect on the direction of Bank of America i.e., Bank of America and Gatekeeper Systems go up and down completely randomly.
Pair Corralation between Bank of America and Gatekeeper Systems
Considering the 90-day investment horizon Bank of America is expected to generate 0.67 times more return on investment than Gatekeeper Systems. However, Bank of America is 1.5 times less risky than Gatekeeper Systems. It trades about 0.27 of its potential returns per unit of risk. Gatekeeper Systems is currently generating about 0.09 per unit of risk. If you would invest 4,189 in Bank of America on August 26, 2024 and sell it today you would earn a total of 511.00 from holding Bank of America or generate 12.2% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Gatekeeper Systems
Performance |
| Timeline |
| Bank of America |
| Gatekeeper Systems |
Bank of America and Gatekeeper Systems Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Gatekeeper Systems
The main advantage of trading using opposite Bank of America and Gatekeeper Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Gatekeeper Systems 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 Gatekeeper Systems will offset losses from the drop in Gatekeeper Systems' long position.| Bank of America vs. Toronto Dominion Bank | Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Montreal |
| Gatekeeper Systems vs. AnalytixInsight | Gatekeeper Systems vs. Kraken Robotics | Gatekeeper Systems vs. ARHT Media |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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