Correlation Between Clean Energy and Retail Estates
Can any of the company-specific risk be diversified away by investing in both Clean Energy and Retail Estates 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 Retail Estates 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 Retail Estates NV, you can compare the effects of market volatilities on Clean Energy and Retail Estates 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 Retail Estates. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clean Energy and Retail Estates.
Diversification Opportunities for Clean Energy and Retail Estates
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Clean and Retail is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Clean Energy Fuels and Retail Estates NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Retail Estates NV 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 Retail Estates. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Retail Estates NV has no effect on the direction of Clean Energy i.e., Clean Energy and Retail Estates go up and down completely randomly.
Pair Corralation between Clean Energy and Retail Estates
Assuming the 90 days horizon Clean Energy Fuels is expected to under-perform the Retail Estates. In addition to that, Clean Energy is 3.75 times more volatile than Retail Estates NV. It trades about -0.01 of its total potential returns per unit of risk. Retail Estates NV is currently generating about -0.02 per unit of volatility. If you would invest 6,073 in Retail Estates NV on September 20, 2024 and sell it today you would lose (343.00) from holding Retail Estates NV or give up 5.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Clean Energy Fuels vs. Retail Estates NV
Performance |
Timeline |
Clean Energy Fuels |
Retail Estates NV |
Clean Energy and Retail Estates Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clean Energy and Retail Estates
The main advantage of trading using opposite Clean Energy and Retail Estates positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clean Energy position performs unexpectedly, Retail Estates 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 Retail Estates will offset losses from the drop in Retail Estates' long position.Clean Energy vs. Superior Plus Corp | Clean Energy vs. SIVERS SEMICONDUCTORS AB | Clean Energy vs. Norsk Hydro ASA | Clean Energy vs. Reliance Steel Aluminum |
Retail Estates vs. Clean Energy Fuels | Retail Estates vs. Playtech plc | Retail Estates vs. FUYO GENERAL LEASE | Retail Estates vs. DISTRICT METALS |
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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
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