Correlation Between Consumers Energy and PGE Corp
Can any of the company-specific risk be diversified away by investing in both Consumers Energy and PGE Corp 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 PGE Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Consumers Energy and PGE Corp, you can compare the effects of market volatilities on Consumers Energy and PGE Corp 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 PGE Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Consumers Energy and PGE Corp.
Diversification Opportunities for Consumers Energy and PGE Corp
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Consumers and PGE is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Consumers Energy and PGE Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PGE Corp 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 PGE Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PGE Corp has no effect on the direction of Consumers Energy i.e., Consumers Energy and PGE Corp go up and down completely randomly.
Pair Corralation between Consumers Energy and PGE Corp
If you would invest 7,690 in Consumers Energy on November 9, 2024 and sell it today you would earn a total of 2.00 from holding Consumers Energy or generate 0.03% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 0.0% |
| Values | Daily Returns |
Consumers Energy vs. PGE Corp
Performance |
| Timeline |
| Consumers Energy |
| PGE Corp |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Consumers Energy and PGE Corp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Consumers Energy and PGE Corp
The main advantage of trading using opposite Consumers Energy and PGE Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Consumers Energy position performs unexpectedly, PGE Corp 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 PGE Corp will offset losses from the drop in PGE Corp's long position.| 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 CEOs Directory module to screen CEOs from public companies around the world.
Other Complementary Tools
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |