Correlation Between Select Sector and TotalEnergies
Can any of the company-specific risk be diversified away by investing in both Select Sector and TotalEnergies 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 Select Sector and TotalEnergies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Select Sector and TotalEnergies SE, you can compare the effects of market volatilities on Select Sector and TotalEnergies 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 Select Sector with a short position of TotalEnergies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Select Sector and TotalEnergies.
Diversification Opportunities for Select Sector and TotalEnergies
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Select and TotalEnergies is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding The Select Sector and TotalEnergies SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TotalEnergies SE and Select Sector 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 The Select Sector are associated (or correlated) with TotalEnergies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TotalEnergies SE has no effect on the direction of Select Sector i.e., Select Sector and TotalEnergies go up and down completely randomly.
Pair Corralation between Select Sector and TotalEnergies
Assuming the 90 days trading horizon Select Sector is expected to generate 3.29 times less return on investment than TotalEnergies. In addition to that, Select Sector is 1.64 times more volatile than TotalEnergies SE. It trades about 0.04 of its total potential returns per unit of risk. TotalEnergies SE is currently generating about 0.22 per unit of volatility. If you would invest 108,867 in TotalEnergies SE on December 24, 2024 and sell it today you would earn a total of 19,727 from holding TotalEnergies SE or generate 18.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.36% |
Values | Daily Returns |
The Select Sector vs. TotalEnergies SE
Performance |
Timeline |
Select Sector |
TotalEnergies SE |
Select Sector and TotalEnergies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Select Sector and TotalEnergies
The main advantage of trading using opposite Select Sector and TotalEnergies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Select Sector position performs unexpectedly, TotalEnergies 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 TotalEnergies will offset losses from the drop in TotalEnergies' long position.Select Sector vs. The Select Sector | Select Sector vs. The Select Sector | Select Sector vs. The Select Sector | Select Sector vs. The Select Sector |
TotalEnergies vs. Verizon Communications | TotalEnergies vs. Steel Dynamics | TotalEnergies vs. Hoteles City Express | TotalEnergies vs. The Bank of |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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