Correlation Between Summit Materials and Eastman Chemical
Can any of the company-specific risk be diversified away by investing in both Summit Materials and Eastman Chemical 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 Summit Materials and Eastman Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Summit Materials Cl and Eastman Chemical Co, you can compare the effects of market volatilities on Summit Materials and Eastman Chemical 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 Summit Materials with a short position of Eastman Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Summit Materials and Eastman Chemical.
Diversification Opportunities for Summit Materials and Eastman Chemical
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Summit and Eastman is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding Summit Materials Cl and Eastman Chemical Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eastman Chemical and Summit Materials 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 Summit Materials Cl are associated (or correlated) with Eastman Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eastman Chemical has no effect on the direction of Summit Materials i.e., Summit Materials and Eastman Chemical go up and down completely randomly.
Pair Corralation between Summit Materials and Eastman Chemical
Assuming the 90 days trading horizon Summit Materials Cl is expected to generate 1.32 times more return on investment than Eastman Chemical. However, Summit Materials is 1.32 times more volatile than Eastman Chemical Co. It trades about 0.12 of its potential returns per unit of risk. Eastman Chemical Co is currently generating about -0.26 per unit of risk. If you would invest 4,882 in Summit Materials Cl on September 19, 2024 and sell it today you would earn a total of 198.00 from holding Summit Materials Cl or generate 4.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
Summit Materials Cl vs. Eastman Chemical Co
Performance |
Timeline |
Summit Materials |
Eastman Chemical |
Summit Materials and Eastman Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Summit Materials and Eastman Chemical
The main advantage of trading using opposite Summit Materials and Eastman Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Summit Materials position performs unexpectedly, Eastman Chemical 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 Eastman Chemical will offset losses from the drop in Eastman Chemical's long position.Summit Materials vs. Samsung Electronics Co | Summit Materials vs. Samsung Electronics Co | Summit Materials vs. Hyundai Motor | Summit Materials vs. Reliance Industries Ltd |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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