Correlation Between CleanTech Lithium and Eco Animal
Can any of the company-specific risk be diversified away by investing in both CleanTech Lithium and Eco Animal 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 CleanTech Lithium and Eco Animal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CleanTech Lithium plc and Eco Animal Health, you can compare the effects of market volatilities on CleanTech Lithium and Eco Animal 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 CleanTech Lithium with a short position of Eco Animal. Check out your portfolio center. Please also check ongoing floating volatility patterns of CleanTech Lithium and Eco Animal.
Diversification Opportunities for CleanTech Lithium and Eco Animal
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between CleanTech and Eco is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding CleanTech Lithium plc and Eco Animal Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eco Animal Health and CleanTech Lithium 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 CleanTech Lithium plc are associated (or correlated) with Eco Animal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eco Animal Health has no effect on the direction of CleanTech Lithium i.e., CleanTech Lithium and Eco Animal go up and down completely randomly.
Pair Corralation between CleanTech Lithium and Eco Animal
Assuming the 90 days trading horizon CleanTech Lithium plc is expected to under-perform the Eco Animal. In addition to that, CleanTech Lithium is 1.97 times more volatile than Eco Animal Health. It trades about -0.17 of its total potential returns per unit of risk. Eco Animal Health is currently generating about -0.14 per unit of volatility. If you would invest 7,100 in Eco Animal Health on December 30, 2024 and sell it today you would lose (1,300) from holding Eco Animal Health or give up 18.31% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
CleanTech Lithium plc vs. Eco Animal Health
Performance |
Timeline |
CleanTech Lithium plc |
Eco Animal Health |
CleanTech Lithium and Eco Animal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CleanTech Lithium and Eco Animal
The main advantage of trading using opposite CleanTech Lithium and Eco Animal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CleanTech Lithium position performs unexpectedly, Eco Animal 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 Eco Animal will offset losses from the drop in Eco Animal's long position.CleanTech Lithium vs. MoneysupermarketCom Group PLC | CleanTech Lithium vs. Monster Beverage Corp | CleanTech Lithium vs. Medical Properties Trust | CleanTech Lithium vs. Molson Coors Beverage |
Eco Animal vs. PPHE Hotel Group | Eco Animal vs. Cellnex Telecom SA | Eco Animal vs. Flow Traders NV | Eco Animal vs. Zegona Communications Plc |
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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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