Correlation Between Engie Brasil and Korea Electric
Can any of the company-specific risk be diversified away by investing in both Engie Brasil and Korea Electric 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 Engie Brasil and Korea Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Engie Brasil Energia and Korea Electric Power, you can compare the effects of market volatilities on Engie Brasil and Korea Electric 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 Engie Brasil with a short position of Korea Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Engie Brasil and Korea Electric.
Diversification Opportunities for Engie Brasil and Korea Electric
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Engie and Korea is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Engie Brasil Energia and Korea Electric Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Electric Power and Engie Brasil 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 Engie Brasil Energia are associated (or correlated) with Korea Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Electric Power has no effect on the direction of Engie Brasil i.e., Engie Brasil and Korea Electric go up and down completely randomly.
Pair Corralation between Engie Brasil and Korea Electric
Assuming the 90 days horizon Engie Brasil Energia is expected to under-perform the Korea Electric. But the pink sheet apears to be less risky and, when comparing its historical volatility, Engie Brasil Energia is 1.09 times less risky than Korea Electric. The pink sheet trades about -0.04 of its potential returns per unit of risk. The Korea Electric Power is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 740.00 in Korea Electric Power on August 24, 2024 and sell it today you would earn a total of 118.00 from holding Korea Electric Power or generate 15.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Engie Brasil Energia vs. Korea Electric Power
Performance |
Timeline |
Engie Brasil Energia |
Korea Electric Power |
Engie Brasil and Korea Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Engie Brasil and Korea Electric
The main advantage of trading using opposite Engie Brasil and Korea Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Engie Brasil position performs unexpectedly, Korea Electric 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 Korea Electric will offset losses from the drop in Korea Electric's long position.Engie Brasil vs. Red Electrica Corporacion | Engie Brasil vs. Centrais Eltricas Brasileiras | Engie Brasil vs. Centrais Electricas Brasileiras | Engie Brasil vs. Enel Chile SA |
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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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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