Correlation Between Consumers Energy and Companhia Paranaense
Can any of the company-specific risk be diversified away by investing in both Consumers Energy and Companhia Paranaense 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 Consumers Energy and Companhia Paranaense into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Consumers Energy and Companhia Paranaense de, you can compare the effects of market volatilities on Consumers Energy and Companhia Paranaense 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 Consumers Energy with a short position of Companhia Paranaense. Check out your portfolio center. Please also check ongoing floating volatility patterns of Consumers Energy and Companhia Paranaense.
Diversification Opportunities for Consumers Energy and Companhia Paranaense
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Consumers and Companhia is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Consumers Energy and Companhia Paranaense de in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Companhia Paranaense and Consumers Energy 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 Consumers Energy are associated (or correlated) with Companhia Paranaense. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Companhia Paranaense has no effect on the direction of Consumers Energy i.e., Consumers Energy and Companhia Paranaense go up and down completely randomly.
Pair Corralation between Consumers Energy and Companhia Paranaense
Assuming the 90 days trading horizon Consumers Energy is expected to generate 0.62 times more return on investment than Companhia Paranaense. However, Consumers Energy is 1.63 times less risky than Companhia Paranaense. It trades about 0.02 of its potential returns per unit of risk. Companhia Paranaense de is currently generating about -0.1 per unit of risk. If you would invest 8,034 in Consumers Energy on August 16, 2024 and sell it today you would earn a total of 66.00 from holding Consumers Energy or generate 0.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Consumers Energy vs. Companhia Paranaense de
Performance |
Timeline |
Consumers Energy |
Companhia Paranaense |
Consumers Energy and Companhia Paranaense Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Consumers Energy and Companhia Paranaense
The main advantage of trading using opposite Consumers Energy and Companhia Paranaense positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Consumers Energy position performs unexpectedly, Companhia Paranaense 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 Companhia Paranaense will offset losses from the drop in Companhia Paranaense's long position.Consumers Energy vs. Nextera Energy | Consumers Energy vs. Duke Energy | Consumers Energy vs. PGE Corp | Consumers Energy vs. Southern Company |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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