Correlation Between Clean Energy and Vivendi SE
Can any of the company-specific risk be diversified away by investing in both Clean Energy and Vivendi SE 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 Vivendi SE 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 Vivendi SE, you can compare the effects of market volatilities on Clean Energy and Vivendi SE 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 Vivendi SE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clean Energy and Vivendi SE.
Diversification Opportunities for Clean Energy and Vivendi SE
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Clean and Vivendi is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Clean Energy Fuels and Vivendi SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vivendi SE 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 Vivendi SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vivendi SE has no effect on the direction of Clean Energy i.e., Clean Energy and Vivendi SE go up and down completely randomly.
Pair Corralation between Clean Energy and Vivendi SE
Assuming the 90 days horizon Clean Energy Fuels is expected to generate 2.65 times more return on investment than Vivendi SE. However, Clean Energy is 2.65 times more volatile than Vivendi SE. It trades about 0.01 of its potential returns per unit of risk. Vivendi SE is currently generating about -0.17 per unit of risk. If you would invest 269.00 in Clean Energy Fuels on September 13, 2024 and sell it today you would lose (6.00) from holding Clean Energy Fuels or give up 2.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Clean Energy Fuels vs. Vivendi SE
Performance |
Timeline |
Clean Energy Fuels |
Vivendi SE |
Clean Energy and Vivendi SE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clean Energy and Vivendi SE
The main advantage of trading using opposite Clean Energy and Vivendi SE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clean Energy position performs unexpectedly, Vivendi SE 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 Vivendi SE will offset losses from the drop in Vivendi SE's long position.Clean Energy vs. American Eagle Outfitters | Clean Energy vs. NORWEGIAN AIR SHUT | Clean Energy vs. SYSTEMAIR AB | Clean Energy vs. Westinghouse Air Brake |
Vivendi SE vs. The Walt Disney | Vivendi SE vs. Charter Communications | Vivendi SE vs. Warner Music Group | Vivendi SE vs. Superior Plus 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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Other Complementary Tools
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges |