Correlation Between Clean Energy and Par Pacific
Can any of the company-specific risk be diversified away by investing in both Clean Energy and Par Pacific 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 Par Pacific 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 Par Pacific Holdings, you can compare the effects of market volatilities on Clean Energy and Par Pacific 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 Par Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clean Energy and Par Pacific.
Diversification Opportunities for Clean Energy and Par Pacific
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Clean and Par is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Clean Energy Fuels and Par Pacific Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Par Pacific Holdings 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 Par Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Par Pacific Holdings has no effect on the direction of Clean Energy i.e., Clean Energy and Par Pacific go up and down completely randomly.
Pair Corralation between Clean Energy and Par Pacific
Given the investment horizon of 90 days Clean Energy Fuels is expected to generate 1.53 times more return on investment than Par Pacific. However, Clean Energy is 1.53 times more volatile than Par Pacific Holdings. It trades about 0.02 of its potential returns per unit of risk. Par Pacific Holdings is currently generating about -0.11 per unit of risk. If you would invest 274.00 in Clean Energy Fuels on August 24, 2024 and sell it today you would lose (3.00) from holding Clean Energy Fuels or give up 1.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Clean Energy Fuels vs. Par Pacific Holdings
Performance |
Timeline |
Clean Energy Fuels |
Par Pacific Holdings |
Clean Energy and Par Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clean Energy and Par Pacific
The main advantage of trading using opposite Clean Energy and Par Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clean Energy position performs unexpectedly, Par Pacific 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 Par Pacific will offset losses from the drop in Par Pacific's long position.Clean Energy vs. Vertex Energy | Clean Energy vs. Icahn Enterprises LP | Clean Energy vs. PBF Energy | Clean Energy vs. Delek Logistics Partners |
Par Pacific vs. Delek Logistics Partners | Par Pacific vs. CVR Energy | Par Pacific vs. PBF Energy | Par Pacific vs. HF Sinclair Corp |
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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