Correlation Between Truist Financial and William Penn
Can any of the company-specific risk be diversified away by investing in both Truist Financial and William Penn 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 Truist Financial and William Penn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Truist Financial and William Penn Bancorp, you can compare the effects of market volatilities on Truist Financial and William Penn 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 Truist Financial with a short position of William Penn. Check out your portfolio center. Please also check ongoing floating volatility patterns of Truist Financial and William Penn.
Diversification Opportunities for Truist Financial and William Penn
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Truist and William is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Truist Financial and William Penn Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on William Penn Bancorp and Truist Financial 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 Truist Financial are associated (or correlated) with William Penn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of William Penn Bancorp has no effect on the direction of Truist Financial i.e., Truist Financial and William Penn go up and down completely randomly.
Pair Corralation between Truist Financial and William Penn
Assuming the 90 days trading horizon Truist Financial is expected to under-perform the William Penn. But the preferred stock apears to be less risky and, when comparing its historical volatility, Truist Financial is 1.48 times less risky than William Penn. The preferred stock trades about 0.0 of its potential returns per unit of risk. The William Penn Bancorp is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1,180 in William Penn Bancorp on September 3, 2024 and sell it today you would earn a total of 142.00 from holding William Penn Bancorp or generate 12.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Truist Financial vs. William Penn Bancorp
Performance |
Timeline |
Truist Financial |
William Penn Bancorp |
Truist Financial and William Penn Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Truist Financial and William Penn
The main advantage of trading using opposite Truist Financial and William Penn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Truist Financial position performs unexpectedly, William Penn 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 William Penn will offset losses from the drop in William Penn's long position.Truist Financial vs. Truist Financial | Truist Financial vs. US Bancorp | Truist Financial vs. Truist Financial | Truist Financial vs. MetLife Preferred Stock |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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