Correlation Between Bank of America and Perella Weinberg
Can any of the company-specific risk be diversified away by investing in both Bank of America and Perella Weinberg 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 Perella Weinberg 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 Perella Weinberg Partners, you can compare the effects of market volatilities on Bank of America and Perella Weinberg 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 Perella Weinberg. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Perella Weinberg.
Diversification Opportunities for Bank of America and Perella Weinberg
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Perella is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Perella Weinberg Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Perella Weinberg Partners 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 Perella Weinberg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Perella Weinberg Partners has no effect on the direction of Bank of America i.e., Bank of America and Perella Weinberg go up and down completely randomly.
Pair Corralation between Bank of America and Perella Weinberg
Considering the 90-day investment horizon Bank of America is expected to generate 2.5 times less return on investment than Perella Weinberg. But when comparing it to its historical volatility, Bank of America is 1.52 times less risky than Perella Weinberg. It trades about 0.06 of its potential returns per unit of risk. Perella Weinberg Partners is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 1,001 in Perella Weinberg Partners on November 9, 2024 and sell it today you would earn a total of 1,615 from holding Perella Weinberg Partners or generate 161.34% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Perella Weinberg Partners
Performance |
| Timeline |
| Bank of America |
| Perella Weinberg Partners |
Bank of America and Perella Weinberg Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Perella Weinberg
The main advantage of trading using opposite Bank of America and Perella Weinberg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Perella Weinberg 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 Perella Weinberg will offset losses from the drop in Perella Weinberg'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 |
| Perella Weinberg vs. Evercore Partners | Perella Weinberg vs. Lazard | Perella Weinberg vs. Piper Sandler Companies | Perella Weinberg vs. Moelis Co |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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