Correlation Between CleanTech Lithium and Deltex Medical
Can any of the company-specific risk be diversified away by investing in both CleanTech Lithium and Deltex Medical 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 Deltex Medical 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 Deltex Medical Group, you can compare the effects of market volatilities on CleanTech Lithium and Deltex Medical 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 Deltex Medical. Check out your portfolio center. Please also check ongoing floating volatility patterns of CleanTech Lithium and Deltex Medical.
Diversification Opportunities for CleanTech Lithium and Deltex Medical
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CleanTech and Deltex is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding CleanTech Lithium plc and Deltex Medical Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deltex Medical Group 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 Deltex Medical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deltex Medical Group has no effect on the direction of CleanTech Lithium i.e., CleanTech Lithium and Deltex Medical go up and down completely randomly.
Pair Corralation between CleanTech Lithium and Deltex Medical
Assuming the 90 days trading horizon CleanTech Lithium plc is expected to under-perform the Deltex Medical. In addition to that, CleanTech Lithium is 1.79 times more volatile than Deltex Medical Group. It trades about -0.2 of its total potential returns per unit of risk. Deltex Medical Group is currently generating about 0.23 per unit of volatility. If you would invest 7.50 in Deltex Medical Group on October 18, 2024 and sell it today you would earn a total of 0.50 from holding Deltex Medical Group or generate 6.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CleanTech Lithium plc vs. Deltex Medical Group
Performance |
Timeline |
CleanTech Lithium plc |
Deltex Medical Group |
CleanTech Lithium and Deltex Medical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CleanTech Lithium and Deltex Medical
The main advantage of trading using opposite CleanTech Lithium and Deltex Medical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CleanTech Lithium position performs unexpectedly, Deltex Medical 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 Deltex Medical will offset losses from the drop in Deltex Medical's long position.CleanTech Lithium vs. Bisichi Mining PLC | CleanTech Lithium vs. Inspiration Healthcare Group | CleanTech Lithium vs. URU Metals | CleanTech Lithium vs. United States Steel |
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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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