Correlation Between Clean Energy and Palantir Technologies
Can any of the company-specific risk be diversified away by investing in both Clean Energy and Palantir Technologies 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 Energy and Palantir Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Clean Energy Fuels and Palantir Technologies, you can compare the effects of market volatilities on Clean Energy and Palantir Technologies 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 Energy with a short position of Palantir Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clean Energy and Palantir Technologies.
Diversification Opportunities for Clean Energy and Palantir Technologies
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Clean and Palantir is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Clean Energy Fuels and Palantir Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Palantir Technologies and Clean Energy 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 Energy Fuels are associated (or correlated) with Palantir Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Palantir Technologies has no effect on the direction of Clean Energy i.e., Clean Energy and Palantir Technologies go up and down completely randomly.
Pair Corralation between Clean Energy and Palantir Technologies
Assuming the 90 days horizon Clean Energy Fuels is expected to generate 1.1 times more return on investment than Palantir Technologies. However, Clean Energy is 1.1 times more volatile than Palantir Technologies. It trades about 0.2 of its potential returns per unit of risk. Palantir Technologies is currently generating about -0.14 per unit of risk. If you would invest 246.00 in Clean Energy Fuels on October 24, 2024 and sell it today you would earn a total of 30.00 from holding Clean Energy Fuels or generate 12.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Clean Energy Fuels vs. Palantir Technologies
Performance |
Timeline |
Clean Energy Fuels |
Palantir Technologies |
Clean Energy and Palantir Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clean Energy and Palantir Technologies
The main advantage of trading using opposite Clean Energy and Palantir Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clean Energy position performs unexpectedly, Palantir Technologies 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 Palantir Technologies will offset losses from the drop in Palantir Technologies' long position.Clean Energy vs. Beazer Homes USA | Clean Energy vs. CITY OFFICE REIT | Clean Energy vs. PKSHA TECHNOLOGY INC | Clean Energy vs. VELA TECHNOLPLC LS 0001 |
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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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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