Correlation Between Eastman Chemical and Teradata Corp
Can any of the company-specific risk be diversified away by investing in both Eastman Chemical and Teradata Corp 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 Teradata Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eastman Chemical Co and Teradata Corp, you can compare the effects of market volatilities on Eastman Chemical and Teradata Corp 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 Teradata Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eastman Chemical and Teradata Corp.
Diversification Opportunities for Eastman Chemical and Teradata Corp
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Eastman and Teradata is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Eastman Chemical Co and Teradata Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Teradata Corp 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 Co are associated (or correlated) with Teradata Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Teradata Corp has no effect on the direction of Eastman Chemical i.e., Eastman Chemical and Teradata Corp go up and down completely randomly.
Pair Corralation between Eastman Chemical and Teradata Corp
Assuming the 90 days trading horizon Eastman Chemical Co is expected to under-perform the Teradata Corp. But the stock apears to be less risky and, when comparing its historical volatility, Eastman Chemical Co is 1.69 times less risky than Teradata Corp. The stock trades about -0.02 of its potential returns per unit of risk. The Teradata Corp is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 2,845 in Teradata Corp on September 13, 2024 and sell it today you would earn a total of 409.00 from holding Teradata Corp or generate 14.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Eastman Chemical Co vs. Teradata Corp
Performance |
Timeline |
Eastman Chemical |
Teradata Corp |
Eastman Chemical and Teradata Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eastman Chemical and Teradata Corp
The main advantage of trading using opposite Eastman Chemical and Teradata Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eastman Chemical position performs unexpectedly, Teradata Corp 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 Teradata Corp will offset losses from the drop in Teradata Corp's long position.Eastman Chemical vs. Ebro Foods | Eastman Chemical vs. Impax Environmental Markets | Eastman Chemical vs. Grieg Seafood | Eastman Chemical vs. Roebuck Food Group |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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