Correlation Between KeyCorp and Zions Bancorporation
Can any of the company-specific risk be diversified away by investing in both KeyCorp and Zions Bancorporation 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 KeyCorp and Zions Bancorporation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KeyCorp and Zions Bancorporation National, you can compare the effects of market volatilities on KeyCorp and Zions Bancorporation 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 KeyCorp with a short position of Zions Bancorporation. Check out your portfolio center. Please also check ongoing floating volatility patterns of KeyCorp and Zions Bancorporation.
Diversification Opportunities for KeyCorp and Zions Bancorporation
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between KeyCorp and Zions is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding KeyCorp and Zions Bancorp. National in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zions Bancorporation and KeyCorp 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 KeyCorp are associated (or correlated) with Zions Bancorporation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zions Bancorporation has no effect on the direction of KeyCorp i.e., KeyCorp and Zions Bancorporation go up and down completely randomly.
Pair Corralation between KeyCorp and Zions Bancorporation
Assuming the 90 days trading horizon KeyCorp is expected to under-perform the Zions Bancorporation. But the preferred stock apears to be less risky and, when comparing its historical volatility, KeyCorp is 1.08 times less risky than Zions Bancorporation. The preferred stock trades about -0.12 of its potential returns per unit of risk. The Zions Bancorporation National is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 2,190 in Zions Bancorporation National on September 23, 2024 and sell it today you would earn a total of 169.00 from holding Zions Bancorporation National or generate 7.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
KeyCorp vs. Zions Bancorp. National
Performance |
Timeline |
KeyCorp |
Zions Bancorporation |
KeyCorp and Zions Bancorporation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KeyCorp and Zions Bancorporation
The main advantage of trading using opposite KeyCorp and Zions Bancorporation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KeyCorp position performs unexpectedly, Zions Bancorporation 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 Zions Bancorporation will offset losses from the drop in Zions Bancorporation's long position.KeyCorp vs. Tectonic Financial PR | KeyCorp vs. First Guaranty Bancshares | KeyCorp vs. First Merchants | KeyCorp vs. Metropolitan Bank Holding |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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