Correlation Between Eastman Chemical and MAHLE Metal
Can any of the company-specific risk be diversified away by investing in both Eastman Chemical and MAHLE Metal 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 Eastman Chemical and MAHLE Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eastman Chemical and MAHLE Metal Leve, you can compare the effects of market volatilities on Eastman Chemical and MAHLE Metal 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 Eastman Chemical with a short position of MAHLE Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eastman Chemical and MAHLE Metal.
Diversification Opportunities for Eastman Chemical and MAHLE Metal
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Eastman and MAHLE is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Eastman Chemical and MAHLE Metal Leve in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MAHLE Metal Leve and Eastman Chemical 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 Eastman Chemical are associated (or correlated) with MAHLE Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MAHLE Metal Leve has no effect on the direction of Eastman Chemical i.e., Eastman Chemical and MAHLE Metal go up and down completely randomly.
Pair Corralation between Eastman Chemical and MAHLE Metal
Assuming the 90 days trading horizon Eastman Chemical is expected to under-perform the MAHLE Metal. But the stock apears to be less risky and, when comparing its historical volatility, Eastman Chemical is 1.37 times less risky than MAHLE Metal. The stock trades about -0.01 of its potential returns per unit of risk. The MAHLE Metal Leve is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 2,850 in MAHLE Metal Leve on April 20, 2025 and sell it today you would earn a total of 20.00 from holding MAHLE Metal Leve or generate 0.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Eastman Chemical vs. MAHLE Metal Leve
Performance |
Timeline |
Eastman Chemical |
MAHLE Metal Leve |
Eastman Chemical and MAHLE Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eastman Chemical and MAHLE Metal
The main advantage of trading using opposite Eastman Chemical and MAHLE Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eastman Chemical position performs unexpectedly, MAHLE Metal 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 MAHLE Metal will offset losses from the drop in MAHLE Metal's long position.Eastman Chemical vs. Verizon Communications | Eastman Chemical vs. METISA Metalrgica Timboense | Eastman Chemical vs. Metalfrio Solutions SA | Eastman Chemical vs. Metalrgica Riosulense SA |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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