Correlation Between CleanTech Lithium and Clean Power
Can any of the company-specific risk be diversified away by investing in both CleanTech Lithium and Clean Power 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 Clean Power 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 Clean Power Hydrogen, you can compare the effects of market volatilities on CleanTech Lithium and Clean Power 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 Clean Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of CleanTech Lithium and Clean Power.
Diversification Opportunities for CleanTech Lithium and Clean Power
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between CleanTech and Clean is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding CleanTech Lithium plc and Clean Power Hydrogen in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Power Hydrogen 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 Clean Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Power Hydrogen has no effect on the direction of CleanTech Lithium i.e., CleanTech Lithium and Clean Power go up and down completely randomly.
Pair Corralation between CleanTech Lithium and Clean Power
Assuming the 90 days trading horizon CleanTech Lithium plc is expected to generate 1.33 times more return on investment than Clean Power. However, CleanTech Lithium is 1.33 times more volatile than Clean Power Hydrogen. It trades about -0.26 of its potential returns per unit of risk. Clean Power Hydrogen is currently generating about -0.37 per unit of risk. If you would invest 1,850 in CleanTech Lithium plc on October 8, 2024 and sell it today you would lose (125.00) from holding CleanTech Lithium plc or give up 6.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CleanTech Lithium plc vs. Clean Power Hydrogen
Performance |
Timeline |
CleanTech Lithium plc |
Clean Power Hydrogen |
CleanTech Lithium and Clean Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CleanTech Lithium and Clean Power
The main advantage of trading using opposite CleanTech Lithium and Clean Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CleanTech Lithium position performs unexpectedly, Clean Power 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 Clean Power will offset losses from the drop in Clean Power's long position.CleanTech Lithium vs. Accesso Technology Group | CleanTech Lithium vs. DXC Technology Co | CleanTech Lithium vs. Bankers Investment Trust | CleanTech Lithium vs. Moneta Money Bank |
Clean Power vs. Samsung Electronics Co | Clean Power vs. Samsung Electronics Co | Clean Power vs. Toyota Motor Corp | Clean Power vs. Reliance Industries Ltd |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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