Correlation Between Truist Financial and US Bancorp
Can any of the company-specific risk be diversified away by investing in both Truist Financial and US Bancorp 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 US Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Truist Financial Corp and US Bancorp, you can compare the effects of market volatilities on Truist Financial and US Bancorp 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 US Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Truist Financial and US Bancorp.
Diversification Opportunities for Truist Financial and US Bancorp
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Truist and USB is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Truist Financial Corp and US Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on US 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 Corp are associated (or correlated) with US Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of US Bancorp has no effect on the direction of Truist Financial i.e., Truist Financial and US Bancorp go up and down completely randomly.
Pair Corralation between Truist Financial and US Bancorp
Considering the 90-day investment horizon Truist Financial is expected to generate 1.55 times less return on investment than US Bancorp. In addition to that, Truist Financial is 1.06 times more volatile than US Bancorp. It trades about 0.08 of its total potential returns per unit of risk. US Bancorp is currently generating about 0.13 per unit of volatility. If you would invest 4,671 in US Bancorp on August 30, 2024 and sell it today you would earn a total of 677.00 from holding US Bancorp or generate 14.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Truist Financial Corp vs. US Bancorp
Performance |
Timeline |
Truist Financial Corp |
US Bancorp |
Truist Financial and US Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Truist Financial and US Bancorp
The main advantage of trading using opposite Truist Financial and US Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Truist Financial position performs unexpectedly, US Bancorp 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 US Bancorp will offset losses from the drop in US Bancorp's long position.Truist Financial vs. PNC Financial Services | Truist Financial vs. KeyCorp | Truist Financial vs. Western Alliance Bancorporation | Truist Financial vs. Zions Bancorporation |
US Bancorp vs. PNC Financial Services | US Bancorp vs. KeyCorp | US Bancorp vs. Zions Bancorporation | US Bancorp vs. Fifth Third Bancorp |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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