Correlation Between Enel Chile and Globalink Investment
Can any of the company-specific risk be diversified away by investing in both Enel Chile and Globalink Investment 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 Enel Chile and Globalink Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Enel Chile SA and Globalink Investment Unit, you can compare the effects of market volatilities on Enel Chile and Globalink Investment 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 Enel Chile with a short position of Globalink Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Enel Chile and Globalink Investment.
Diversification Opportunities for Enel Chile and Globalink Investment
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Enel and Globalink is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Enel Chile SA and Globalink Investment Unit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Globalink Investment Unit and Enel Chile 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 Enel Chile SA are associated (or correlated) with Globalink Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Globalink Investment Unit has no effect on the direction of Enel Chile i.e., Enel Chile and Globalink Investment go up and down completely randomly.
Pair Corralation between Enel Chile and Globalink Investment
Given the investment horizon of 90 days Enel Chile SA is expected to generate 0.56 times more return on investment than Globalink Investment. However, Enel Chile SA is 1.79 times less risky than Globalink Investment. It trades about 0.25 of its potential returns per unit of risk. Globalink Investment Unit is currently generating about -0.16 per unit of risk. If you would invest 270.00 in Enel Chile SA on September 23, 2024 and sell it today you would earn a total of 24.00 from holding Enel Chile SA or generate 8.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Enel Chile SA vs. Globalink Investment Unit
Performance |
Timeline |
Enel Chile SA |
Globalink Investment Unit |
Enel Chile and Globalink Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Enel Chile and Globalink Investment
The main advantage of trading using opposite Enel Chile and Globalink Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Enel Chile position performs unexpectedly, Globalink Investment 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 Globalink Investment will offset losses from the drop in Globalink Investment's long position.Enel Chile vs. Nextera Energy | Enel Chile vs. Consolidated Edison | Enel Chile vs. Duke Energy | Enel Chile vs. FirstEnergy |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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