Correlation Between Enlight Renewable and Burlington Stores
Can any of the company-specific risk be diversified away by investing in both Enlight Renewable and Burlington Stores 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 Enlight Renewable and Burlington Stores into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Enlight Renewable Energy and Burlington Stores, you can compare the effects of market volatilities on Enlight Renewable and Burlington Stores 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 Enlight Renewable with a short position of Burlington Stores. Check out your portfolio center. Please also check ongoing floating volatility patterns of Enlight Renewable and Burlington Stores.
Diversification Opportunities for Enlight Renewable and Burlington Stores
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Enlight and Burlington is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Enlight Renewable Energy and Burlington Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Burlington Stores and Enlight Renewable 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 Enlight Renewable Energy are associated (or correlated) with Burlington Stores. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Burlington Stores has no effect on the direction of Enlight Renewable i.e., Enlight Renewable and Burlington Stores go up and down completely randomly.
Pair Corralation between Enlight Renewable and Burlington Stores
Given the investment horizon of 90 days Enlight Renewable Energy is expected to generate 1.69 times more return on investment than Burlington Stores. However, Enlight Renewable is 1.69 times more volatile than Burlington Stores. It trades about 0.12 of its potential returns per unit of risk. Burlington Stores is currently generating about -0.04 per unit of risk. If you would invest 1,640 in Enlight Renewable Energy on September 25, 2024 and sell it today you would earn a total of 100.00 from holding Enlight Renewable Energy or generate 6.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Enlight Renewable Energy vs. Burlington Stores
Performance |
Timeline |
Enlight Renewable Energy |
Burlington Stores |
Enlight Renewable and Burlington Stores Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Enlight Renewable and Burlington Stores
The main advantage of trading using opposite Enlight Renewable and Burlington Stores positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Enlight Renewable position performs unexpectedly, Burlington Stores 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 Burlington Stores will offset losses from the drop in Burlington Stores' long position.Enlight Renewable vs. Verde Clean Fuels | Enlight Renewable vs. ReNew Energy Global | Enlight Renewable vs. Ellomay Capital | Enlight Renewable vs. Eco Wave Power |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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