Correlation Between Talen Energy and Consumers Energy
Can any of the company-specific risk be diversified away by investing in both Talen Energy and Consumers Energy 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 Talen Energy and Consumers Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Talen Energy and Consumers Energy, you can compare the effects of market volatilities on Talen Energy and Consumers Energy 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 Talen Energy with a short position of Consumers Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Talen Energy and Consumers Energy.
Diversification Opportunities for Talen Energy and Consumers Energy
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Talen and Consumers is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Talen Energy and Consumers Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Consumers Energy and Talen 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 Talen Energy are associated (or correlated) with Consumers Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Consumers Energy has no effect on the direction of Talen Energy i.e., Talen Energy and Consumers Energy go up and down completely randomly.
Pair Corralation between Talen Energy and Consumers Energy
Considering the 90-day investment horizon Talen Energy is expected to generate 2.56 times more return on investment than Consumers Energy. However, Talen Energy is 2.56 times more volatile than Consumers Energy. It trades about 0.17 of its potential returns per unit of risk. Consumers Energy is currently generating about 0.01 per unit of risk. If you would invest 6,505 in Talen Energy on November 9, 2024 and sell it today you would earn a total of 17,080 from holding Talen Energy or generate 262.57% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Talen Energy vs. Consumers Energy
Performance |
| Timeline |
| Talen Energy |
| Consumers Energy |
Talen Energy and Consumers Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Talen Energy and Consumers Energy
The main advantage of trading using opposite Talen Energy and Consumers Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Talen Energy position performs unexpectedly, Consumers Energy 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 Consumers Energy will offset losses from the drop in Consumers Energy's long position.| Talen Energy vs. The Joint Corp | Talen Energy vs. Viemed Healthcare | Talen Energy vs. Denison Mines Corp | Talen Energy vs. Lion One Metals |
| Consumers Energy vs. Nextera Energy | Consumers Energy vs. Duke Energy | Consumers Energy vs. PGE Corp | Consumers Energy vs. Southern Company |
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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