Correlation Between Tesla and Delta Air
Can any of the company-specific risk be diversified away by investing in both Tesla and Delta Air 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 Tesla and Delta Air into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tesla Inc and Delta Air Lines, you can compare the effects of market volatilities on Tesla and Delta Air 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 Tesla with a short position of Delta Air. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tesla and Delta Air.
Diversification Opportunities for Tesla and Delta Air
Poor diversification
The 3 months correlation between Tesla and Delta is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Tesla Inc and Delta Air Lines in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Delta Air Lines and Tesla 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 Tesla Inc are associated (or correlated) with Delta Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Delta Air Lines has no effect on the direction of Tesla i.e., Tesla and Delta Air go up and down completely randomly.
Pair Corralation between Tesla and Delta Air
Assuming the 90 days trading horizon Tesla Inc is expected to generate 1.93 times more return on investment than Delta Air. However, Tesla is 1.93 times more volatile than Delta Air Lines. It trades about 0.22 of its potential returns per unit of risk. Delta Air Lines is currently generating about 0.16 per unit of risk. If you would invest 512,188 in Tesla Inc on September 27, 2024 and sell it today you would earn a total of 410,887 from holding Tesla Inc or generate 80.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Tesla Inc vs. Delta Air Lines
Performance |
Timeline |
Tesla Inc |
Delta Air Lines |
Tesla and Delta Air Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tesla and Delta Air
The main advantage of trading using opposite Tesla and Delta Air positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tesla position performs unexpectedly, Delta Air 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 Delta Air will offset losses from the drop in Delta Air's long position.The idea behind Tesla Inc and Delta Air Lines 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.Delta Air vs. Southwest Airlines | Delta Air vs. United Airlines Holdings | Delta Air vs. Controladora Vuela Compaa | Delta Air vs. Grupo Aeromxico SAB |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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