Correlation Between Affiliated Managers and DTE Energy
Can any of the company-specific risk be diversified away by investing in both Affiliated Managers and DTE 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 Affiliated Managers and DTE Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Affiliated Managers Group and DTE Energy, you can compare the effects of market volatilities on Affiliated Managers and DTE 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 Affiliated Managers with a short position of DTE Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Affiliated Managers and DTE Energy.
Diversification Opportunities for Affiliated Managers and DTE Energy
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Affiliated and DTE is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Affiliated Managers Group and DTE Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DTE Energy and Affiliated Managers 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 Affiliated Managers Group are associated (or correlated) with DTE Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DTE Energy has no effect on the direction of Affiliated Managers i.e., Affiliated Managers and DTE Energy go up and down completely randomly.
Pair Corralation between Affiliated Managers and DTE Energy
Considering the 90-day investment horizon Affiliated Managers Group is expected to under-perform the DTE Energy. But the stock apears to be less risky and, when comparing its historical volatility, Affiliated Managers Group is 1.1 times less risky than DTE Energy. The stock trades about -0.01 of its potential returns per unit of risk. The DTE Energy is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 1,820 in DTE Energy on December 28, 2024 and sell it today you would earn a total of 8.00 from holding DTE Energy or generate 0.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Affiliated Managers Group vs. DTE Energy
Performance |
Timeline |
Affiliated Managers |
DTE Energy |
Affiliated Managers and DTE Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Affiliated Managers and DTE Energy
The main advantage of trading using opposite Affiliated Managers and DTE Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Affiliated Managers position performs unexpectedly, DTE 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 DTE Energy will offset losses from the drop in DTE Energy's long position.Affiliated Managers vs. DBA Sempra 5750 | Affiliated Managers vs. CMS Energy Corp | Affiliated Managers vs. American Financial Group | Affiliated Managers vs. National Rural Utilities |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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