Correlation Between Bank of America and WHITEWOLF Publicly
Can any of the company-specific risk be diversified away by investing in both Bank of America and WHITEWOLF Publicly 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 WHITEWOLF Publicly 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 WHITEWOLF Publicly Listed, you can compare the effects of market volatilities on Bank of America and WHITEWOLF Publicly 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 WHITEWOLF Publicly. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and WHITEWOLF Publicly.
Diversification Opportunities for Bank of America and WHITEWOLF Publicly
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and WHITEWOLF is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and WHITEWOLF Publicly Listed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WHITEWOLF Publicly Listed 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 WHITEWOLF Publicly. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WHITEWOLF Publicly Listed has no effect on the direction of Bank of America i.e., Bank of America and WHITEWOLF Publicly go up and down completely randomly.
Pair Corralation between Bank of America and WHITEWOLF Publicly
Considering the 90-day investment horizon Bank of America is expected to generate 1.37 times more return on investment than WHITEWOLF Publicly. However, Bank of America is 1.37 times more volatile than WHITEWOLF Publicly Listed. It trades about 0.1 of its potential returns per unit of risk. WHITEWOLF Publicly Listed is currently generating about 0.14 per unit of risk. If you would invest 3,938 in Bank of America on September 1, 2024 and sell it today you would earn a total of 813.00 from holding Bank of America or generate 20.64% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 99.21% |
| Values | Daily Returns |
Bank of America vs. WHITEWOLF Publicly Listed
Performance |
| Timeline |
| Bank of America |
| WHITEWOLF Publicly Listed |
Bank of America and WHITEWOLF Publicly Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and WHITEWOLF Publicly
The main advantage of trading using opposite Bank of America and WHITEWOLF Publicly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, WHITEWOLF Publicly 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 WHITEWOLF Publicly will offset losses from the drop in WHITEWOLF Publicly's 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 |
| WHITEWOLF Publicly vs. First Trust Exchange Traded | WHITEWOLF Publicly vs. Ultimus Managers Trust | WHITEWOLF Publicly vs. Horizon Kinetics Medical | WHITEWOLF Publicly vs. Harbor Health Care |
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 Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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