Correlation Between GOODYEAR T and APPLIED MATERIALS
Can any of the company-specific risk be diversified away by investing in both GOODYEAR T and APPLIED MATERIALS 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 APPLIED MATERIALS 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 APPLIED MATERIALS, you can compare the effects of market volatilities on GOODYEAR T and APPLIED MATERIALS 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 APPLIED MATERIALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of GOODYEAR T and APPLIED MATERIALS.
Diversification Opportunities for GOODYEAR T and APPLIED MATERIALS
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between GOODYEAR and APPLIED is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding GOODYEAR T RUBBER and APPLIED MATERIALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on APPLIED MATERIALS 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 APPLIED MATERIALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of APPLIED MATERIALS has no effect on the direction of GOODYEAR T i.e., GOODYEAR T and APPLIED MATERIALS go up and down completely randomly.
Pair Corralation between GOODYEAR T and APPLIED MATERIALS
Assuming the 90 days trading horizon GOODYEAR T is expected to generate 4.91 times less return on investment than APPLIED MATERIALS. In addition to that, GOODYEAR T is 1.15 times more volatile than APPLIED MATERIALS. It trades about 0.01 of its total potential returns per unit of risk. APPLIED MATERIALS is currently generating about 0.05 per unit of volatility. If you would invest 10,054 in APPLIED MATERIALS on September 3, 2024 and sell it today you would earn a total of 6,478 from holding APPLIED MATERIALS or generate 64.43% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
GOODYEAR T RUBBER vs. APPLIED MATERIALS
Performance |
| Timeline |
| GOODYEAR T RUBBER |
| APPLIED MATERIALS |
GOODYEAR T and APPLIED MATERIALS Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GOODYEAR T and APPLIED MATERIALS
The main advantage of trading using opposite GOODYEAR T and APPLIED MATERIALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GOODYEAR T position performs unexpectedly, APPLIED MATERIALS 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 APPLIED MATERIALS will offset losses from the drop in APPLIED MATERIALS's long position.| GOODYEAR T vs. TOTAL GABON | GOODYEAR T vs. Walgreens Boots Alliance | GOODYEAR T vs. Peak Resources Limited |
| APPLIED MATERIALS vs. BJs Wholesale Club | APPLIED MATERIALS vs. United Internet AG | APPLIED MATERIALS vs. Entravision Communications | APPLIED MATERIALS vs. Cogent Communications Holdings |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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