Correlation Between Digi International and Enel Chile
Can any of the company-specific risk be diversified away by investing in both Digi International and Enel Chile 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 Digi International and Enel Chile into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Digi International and Enel Chile SA, you can compare the effects of market volatilities on Digi International and Enel Chile 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 Digi International with a short position of Enel Chile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Digi International and Enel Chile.
Diversification Opportunities for Digi International and Enel Chile
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Digi and Enel is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Digi International and Enel Chile SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Enel Chile SA and Digi International 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 Digi International are associated (or correlated) with Enel Chile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Enel Chile SA has no effect on the direction of Digi International i.e., Digi International and Enel Chile go up and down completely randomly.
Pair Corralation between Digi International and Enel Chile
Given the investment horizon of 90 days Digi International is expected to generate 1.25 times more return on investment than Enel Chile. However, Digi International is 1.25 times more volatile than Enel Chile SA. It trades about 0.19 of its potential returns per unit of risk. Enel Chile SA is currently generating about 0.09 per unit of risk. If you would invest 2,663 in Digi International on September 18, 2024 and sell it today you would earn a total of 708.00 from holding Digi International or generate 26.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Digi International vs. Enel Chile SA
Performance |
Timeline |
Digi International |
Enel Chile SA |
Digi International and Enel Chile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Digi International and Enel Chile
The main advantage of trading using opposite Digi International and Enel Chile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Digi International position performs unexpectedly, Enel Chile 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 Enel Chile will offset losses from the drop in Enel Chile's long position.Digi International vs. Extreme Networks | Digi International vs. Ciena Corp | Digi International vs. Harmonic | Digi International vs. Comtech Telecommunications Corp |
Enel Chile vs. Centrais Eltricas Brasileiras | Enel Chile vs. Korea Electric Power | Enel Chile vs. Central Puerto SA | Enel Chile vs. CMS Energy |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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