Correlation Between Intel and TotalEnergies

Can any of the company-specific risk be diversified away by investing in both Intel 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 Intel and TotalEnergies into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Intel and TotalEnergies SE, you can compare the effects of market volatilities on Intel 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 Intel with a short position of TotalEnergies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Intel and TotalEnergies.

Diversification Opportunities for Intel and TotalEnergies

0.3

Correlation Coefficient

Intel  TotalEnergies

Weak diversification

The 3 months correlation between Intel and TotalEnergies is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Intel and TotalEnergies SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TotalEnergies SE and Intel 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 Intel 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 Intel i.e., Intel and TotalEnergies go up and down completely randomly.

Pair Corralation between Intel and TotalEnergies

Assuming the 90 days trading horizon Intel is expected to generate 1.21 times less return on investment than TotalEnergies. In addition to that, Intel is 2.0 times more volatile than TotalEnergies SE. It trades about 0.19 of its total potential returns per unit of risk. TotalEnergies SE is currently generating about 0.45 per unit of volatility. If you would invest  5,073  in TotalEnergies SE on October 20, 2024 and sell it today you would earn a total of  627.00  from holding TotalEnergies SE or generate 12.36% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

Intel  vs.  TotalEnergies SE

Intel

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Intel has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable essential indicators, Intel is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

TotalEnergies SE

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days TotalEnergies SE has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, TotalEnergies is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with Intel and TotalEnergies

The main advantage of trading using opposite Intel and TotalEnergies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Intel 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.

The idea behind Intel and TotalEnergies SE 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.

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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.