Correlation Between Triumph Financial and US Bancorp
Can any of the company-specific risk be diversified away by investing in both Triumph 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 Triumph 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 Triumph Financial and US Bancorp, you can compare the effects of market volatilities on Triumph 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 Triumph Financial with a short position of US Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Triumph Financial and US Bancorp.
Diversification Opportunities for Triumph Financial and US Bancorp
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Triumph and USB-PP is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Triumph Financial and US Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on US Bancorp and Triumph 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 Triumph Financial 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 Triumph Financial i.e., Triumph Financial and US Bancorp go up and down completely randomly.
Pair Corralation between Triumph Financial and US Bancorp
Assuming the 90 days horizon Triumph Financial is expected to generate 2.04 times more return on investment than US Bancorp. However, Triumph Financial is 2.04 times more volatile than US Bancorp. It trades about 0.1 of its potential returns per unit of risk. US Bancorp is currently generating about 0.08 per unit of risk. If you would invest 2,224 in Triumph Financial on September 2, 2024 and sell it today you would earn a total of 146.00 from holding Triumph Financial or generate 6.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Triumph Financial vs. US Bancorp
Performance |
Timeline |
Triumph Financial |
US Bancorp |
Triumph Financial and US Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Triumph Financial and US Bancorp
The main advantage of trading using opposite Triumph Financial and US Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Triumph 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.Triumph Financial vs. Triumph Financial | Triumph Financial vs. Wintrust Financial Corp | Triumph Financial vs. First Merchants | Triumph Financial vs. Pinnacle Financial Partners |
US Bancorp vs. KeyCorp | US Bancorp vs. KeyCorp | US Bancorp vs. Fifth Third Bancorp | US Bancorp vs. Citizens Financial Group |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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