Correlation Between KeyCorp and CAVA Group,
Can any of the company-specific risk be diversified away by investing in both KeyCorp and CAVA Group, 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 CAVA Group, into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KeyCorp and CAVA Group,, you can compare the effects of market volatilities on KeyCorp and CAVA Group, 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 CAVA Group,. Check out your portfolio center. Please also check ongoing floating volatility patterns of KeyCorp and CAVA Group,.
Diversification Opportunities for KeyCorp and CAVA Group,
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between KeyCorp and CAVA is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding KeyCorp and CAVA Group, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CAVA Group, 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 CAVA Group,. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CAVA Group, has no effect on the direction of KeyCorp i.e., KeyCorp and CAVA Group, go up and down completely randomly.
Pair Corralation between KeyCorp and CAVA Group,
Assuming the 90 days trading horizon KeyCorp is expected to generate 0.24 times more return on investment than CAVA Group,. However, KeyCorp is 4.15 times less risky than CAVA Group,. It trades about -0.1 of its potential returns per unit of risk. CAVA Group, is currently generating about -0.18 per unit of risk. If you would invest 2,477 in KeyCorp on September 12, 2024 and sell it today you would lose (46.00) from holding KeyCorp or give up 1.86% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
KeyCorp vs. CAVA Group,
Performance |
| Timeline |
| KeyCorp |
| CAVA Group, |
KeyCorp and CAVA Group, Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with KeyCorp and CAVA Group,
The main advantage of trading using opposite KeyCorp and CAVA Group, positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KeyCorp position performs unexpectedly, CAVA Group, 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 CAVA Group, will offset losses from the drop in CAVA Group,'s long position.The idea behind KeyCorp and CAVA Group, 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.| CAVA Group, vs. Grupo Aeroportuario del | CAVA Group, vs. Eastern Co | CAVA Group, vs. HF Sinclair Corp | CAVA Group, vs. Finnair Oyj |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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