Correlation Between US Bancorp and Credit Agricole
Can any of the company-specific risk be diversified away by investing in both US Bancorp and Credit Agricole 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 Credit Agricole into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between US Bancorp and Credit Agricole SA, you can compare the effects of market volatilities on US Bancorp and Credit Agricole 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 Credit Agricole. Check out your portfolio center. Please also check ongoing floating volatility patterns of US Bancorp and Credit Agricole.
Diversification Opportunities for US Bancorp and Credit Agricole
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between USB-PH and Credit is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding US Bancorp and Credit Agricole SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Credit Agricole SA 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 Credit Agricole. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Credit Agricole SA has no effect on the direction of US Bancorp i.e., US Bancorp and Credit Agricole go up and down completely randomly.
Pair Corralation between US Bancorp and Credit Agricole
Assuming the 90 days trading horizon US Bancorp is expected to generate 22.12 times less return on investment than Credit Agricole. But when comparing it to its historical volatility, US Bancorp is 2.08 times less risky than Credit Agricole. It trades about 0.03 of its potential returns per unit of risk. Credit Agricole SA is currently generating about 0.36 of returns per unit of risk over similar time horizon. If you would invest 689.00 in Credit Agricole SA on December 29, 2024 and sell it today you would earn a total of 223.00 from holding Credit Agricole SA or generate 32.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
US Bancorp vs. Credit Agricole SA
Performance |
Timeline |
US Bancorp |
Credit Agricole SA |
US Bancorp and Credit Agricole Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with US Bancorp and Credit Agricole
The main advantage of trading using opposite US Bancorp and Credit Agricole positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if US Bancorp position performs unexpectedly, Credit Agricole 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 Credit Agricole will offset losses from the drop in Credit Agricole's long position.US Bancorp vs. US Bancorp PERP | US Bancorp vs. KeyCorp | US Bancorp vs. KeyCorp | US Bancorp vs. Regions Financial |
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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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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