Correlation Between GOODYEAR T and Caseys General
Can any of the company-specific risk be diversified away by investing in both GOODYEAR T and Caseys General 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 GOODYEAR T and Caseys General into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GOODYEAR T RUBBER and Caseys General Stores, you can compare the effects of market volatilities on GOODYEAR T and Caseys General 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 GOODYEAR T with a short position of Caseys General. Check out your portfolio center. Please also check ongoing floating volatility patterns of GOODYEAR T and Caseys General.
Diversification Opportunities for GOODYEAR T and Caseys General
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between GOODYEAR and Caseys is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding GOODYEAR T RUBBER and Caseys General Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Caseys General Stores and GOODYEAR T 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 GOODYEAR T RUBBER are associated (or correlated) with Caseys General. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Caseys General Stores has no effect on the direction of GOODYEAR T i.e., GOODYEAR T and Caseys General go up and down completely randomly.
Pair Corralation between GOODYEAR T and Caseys General
Assuming the 90 days trading horizon GOODYEAR T is expected to generate 3.02 times less return on investment than Caseys General. In addition to that, GOODYEAR T is 1.69 times more volatile than Caseys General Stores. It trades about 0.02 of its total potential returns per unit of risk. Caseys General Stores is currently generating about 0.08 per unit of volatility. If you would invest 22,501 in Caseys General Stores on September 4, 2024 and sell it today you would earn a total of 17,499 from holding Caseys General Stores or generate 77.77% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
GOODYEAR T RUBBER vs. Caseys General Stores
Performance |
| Timeline |
| GOODYEAR T RUBBER |
| Caseys General Stores |
GOODYEAR T and Caseys General Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GOODYEAR T and Caseys General
The main advantage of trading using opposite GOODYEAR T and Caseys General positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GOODYEAR T position performs unexpectedly, Caseys General 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 Caseys General will offset losses from the drop in Caseys General's long position.| GOODYEAR T vs. TOTAL GABON | GOODYEAR T vs. Walgreens Boots Alliance | GOODYEAR T vs. Peak Resources Limited |
| Caseys General vs. Apple Inc | Caseys General vs. Apple Inc | Caseys General vs. Apple Inc | Caseys General vs. Apple Inc |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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