Correlation Between US Bancorp and KeyCorp
Can any of the company-specific risk be diversified away by investing in both US Bancorp and KeyCorp 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 US Bancorp and KeyCorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between US Bancorp and KeyCorp, you can compare the effects of market volatilities on US Bancorp and KeyCorp 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 US Bancorp with a short position of KeyCorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of US Bancorp and KeyCorp.
Diversification Opportunities for US Bancorp and KeyCorp
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between USB-PP and KeyCorp is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding US Bancorp and KeyCorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KeyCorp and US Bancorp 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 US Bancorp are associated (or correlated) with KeyCorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KeyCorp has no effect on the direction of US Bancorp i.e., US Bancorp and KeyCorp go up and down completely randomly.
Pair Corralation between US Bancorp and KeyCorp
Assuming the 90 days trading horizon US Bancorp is expected to generate 16.65 times less return on investment than KeyCorp. But when comparing it to its historical volatility, US Bancorp is 1.35 times less risky than KeyCorp. It trades about 0.01 of its potential returns per unit of risk. KeyCorp is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 2,344 in KeyCorp on August 28, 2024 and sell it today you would earn a total of 44.00 from holding KeyCorp or generate 1.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
US Bancorp vs. KeyCorp
Performance |
| Timeline |
| US Bancorp |
| KeyCorp |
US Bancorp and KeyCorp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with US Bancorp and KeyCorp
The main advantage of trading using opposite US Bancorp and KeyCorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if US Bancorp position performs unexpectedly, KeyCorp 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 KeyCorp will offset losses from the drop in KeyCorp's long position.The idea behind US Bancorp and KeyCorp pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| KeyCorp vs. KeyCorp | KeyCorp vs. Regions Financial | KeyCorp vs. US Bancorp | KeyCorp 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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