Correlation Between Clean Power and CleanTech Lithium
Can any of the company-specific risk be diversified away by investing in both Clean Power and CleanTech Lithium 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 Clean Power and CleanTech Lithium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Clean Power Hydrogen and CleanTech Lithium plc, you can compare the effects of market volatilities on Clean Power and CleanTech Lithium 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 Clean Power with a short position of CleanTech Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clean Power and CleanTech Lithium.
Diversification Opportunities for Clean Power and CleanTech Lithium
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Clean and CleanTech is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Clean Power Hydrogen and CleanTech Lithium plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CleanTech Lithium plc and Clean Power 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 Clean Power Hydrogen are associated (or correlated) with CleanTech Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CleanTech Lithium plc has no effect on the direction of Clean Power i.e., Clean Power and CleanTech Lithium go up and down completely randomly.
Pair Corralation between Clean Power and CleanTech Lithium
Assuming the 90 days trading horizon Clean Power Hydrogen is expected to generate 1.34 times more return on investment than CleanTech Lithium. However, Clean Power is 1.34 times more volatile than CleanTech Lithium plc. It trades about -0.04 of its potential returns per unit of risk. CleanTech Lithium plc is currently generating about -0.14 per unit of risk. If you would invest 868.00 in Clean Power Hydrogen on October 23, 2024 and sell it today you would lose (138.00) from holding Clean Power Hydrogen or give up 15.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Clean Power Hydrogen vs. CleanTech Lithium plc
Performance |
Timeline |
Clean Power Hydrogen |
CleanTech Lithium plc |
Clean Power and CleanTech Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clean Power and CleanTech Lithium
The main advantage of trading using opposite Clean Power and CleanTech Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clean Power position performs unexpectedly, CleanTech Lithium 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 CleanTech Lithium will offset losses from the drop in CleanTech Lithium's long position.Clean Power vs. Samsung Electronics Co | Clean Power vs. Samsung Electronics Co | Clean Power vs. Toyota Motor Corp | Clean Power vs. SoftBank Group Corp |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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