Correlation Between Fortis and CMS Energy
Can any of the company-specific risk be diversified away by investing in both Fortis and CMS 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 Fortis and CMS Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fortis Inc and CMS Energy, you can compare the effects of market volatilities on Fortis and CMS 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 Fortis with a short position of CMS Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fortis and CMS Energy.
Diversification Opportunities for Fortis and CMS Energy
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Fortis and CMS is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Fortis Inc and CMS Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CMS Energy and Fortis 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 Fortis Inc are associated (or correlated) with CMS Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CMS Energy has no effect on the direction of Fortis i.e., Fortis and CMS Energy go up and down completely randomly.
Pair Corralation between Fortis and CMS Energy
Considering the 90-day investment horizon Fortis Inc is expected to generate 1.14 times more return on investment than CMS Energy. However, Fortis is 1.14 times more volatile than CMS Energy. It trades about 0.15 of its potential returns per unit of risk. CMS Energy is currently generating about 0.03 per unit of risk. If you would invest 4,199 in Fortis Inc on November 9, 2024 and sell it today you would earn a total of 158.00 from holding Fortis Inc or generate 3.76% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Fortis Inc vs. CMS Energy
Performance |
| Timeline |
| Fortis Inc |
| CMS Energy |
Fortis and CMS Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Fortis and CMS Energy
The main advantage of trading using opposite Fortis and CMS Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fortis position performs unexpectedly, CMS 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 CMS Energy will offset losses from the drop in CMS Energy's long position.The idea behind Fortis Inc and CMS Energy pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| CMS Energy vs. Entergy Texas | CMS Energy vs. Duke Energy | CMS Energy vs. Spire Inc | CMS Energy vs. Consumers Energy |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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