Correlation Between Companhia Energtica and CIA ENGER
Can any of the company-specific risk be diversified away by investing in both Companhia Energtica and CIA ENGER 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 Companhia Energtica and CIA ENGER into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Companhia Energtica de and CIA ENGER ADR, you can compare the effects of market volatilities on Companhia Energtica and CIA ENGER 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 Companhia Energtica with a short position of CIA ENGER. Check out your portfolio center. Please also check ongoing floating volatility patterns of Companhia Energtica and CIA ENGER.
Diversification Opportunities for Companhia Energtica and CIA ENGER
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Companhia and CIA is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Companhia Energtica de and CIA ENGER ADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CIA ENGER ADR and Companhia Energtica 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 Companhia Energtica de are associated (or correlated) with CIA ENGER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CIA ENGER ADR has no effect on the direction of Companhia Energtica i.e., Companhia Energtica and CIA ENGER go up and down completely randomly.
Pair Corralation between Companhia Energtica and CIA ENGER
Assuming the 90 days horizon Companhia Energtica de is expected to generate 0.68 times more return on investment than CIA ENGER. However, Companhia Energtica de is 1.47 times less risky than CIA ENGER. It trades about 0.06 of its potential returns per unit of risk. CIA ENGER ADR is currently generating about 0.03 per unit of risk. If you would invest 178.00 in Companhia Energtica de on September 23, 2024 and sell it today you would earn a total of 7.00 from holding Companhia Energtica de or generate 3.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Companhia Energtica de vs. CIA ENGER ADR
Performance |
Timeline |
Companhia Energtica |
CIA ENGER ADR |
Companhia Energtica and CIA ENGER Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Companhia Energtica and CIA ENGER
The main advantage of trading using opposite Companhia Energtica and CIA ENGER positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Companhia Energtica position performs unexpectedly, CIA ENGER 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 CIA ENGER will offset losses from the drop in CIA ENGER's long position.Companhia Energtica vs. IBERDROLA ADR1 EO | Companhia Energtica vs. SSE PLC ADR | Companhia Energtica vs. C PARAN EN | Companhia Energtica vs. CIA ENGER ADR |
CIA ENGER vs. IBERDROLA ADR1 EO | CIA ENGER vs. SSE PLC ADR | CIA ENGER vs. C PARAN EN | CIA ENGER vs. Companhia Energtica de |
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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