Correlation Between GE Aerospace and 191216CT5
Specify exactly 2 symbols:
By analyzing existing cross correlation between GE Aerospace and COCA COLA CO, you can compare the effects of market volatilities on GE Aerospace and 191216CT5 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 GE Aerospace with a short position of 191216CT5. Check out your portfolio center. Please also check ongoing floating volatility patterns of GE Aerospace and 191216CT5.
Diversification Opportunities for GE Aerospace and 191216CT5
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between GE Aerospace and 191216CT5 is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding GE Aerospace and COCA COLA CO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COCA A CO and GE Aerospace 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 GE Aerospace are associated (or correlated) with 191216CT5. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COCA A CO has no effect on the direction of GE Aerospace i.e., GE Aerospace and 191216CT5 go up and down completely randomly.
Pair Corralation between GE Aerospace and 191216CT5
Allowing for the 90-day total investment horizon GE Aerospace is expected to generate 5.71 times more return on investment than 191216CT5. However, GE Aerospace is 5.71 times more volatile than COCA COLA CO. It trades about 0.08 of its potential returns per unit of risk. COCA COLA CO is currently generating about -0.04 per unit of risk. If you would invest 16,611 in GE Aerospace on September 4, 2024 and sell it today you would earn a total of 1,461 from holding GE Aerospace or generate 8.8% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 96.88% |
| Values | Daily Returns |
GE Aerospace vs. COCA COLA CO
Performance |
| Timeline |
| GE Aerospace |
| COCA A CO |
GE Aerospace and 191216CT5 Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GE Aerospace and 191216CT5
The main advantage of trading using opposite GE Aerospace and 191216CT5 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GE Aerospace position performs unexpectedly, 191216CT5 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 191216CT5 will offset losses from the drop in 191216CT5's long position.| GE Aerospace vs. Illinois Tool Works | GE Aerospace vs. Dover | GE Aerospace vs. Cummins | GE Aerospace vs. Eaton PLC |
| 191216CT5 vs. The Travelers Companies | 191216CT5 vs. GE Aerospace | 191216CT5 vs. Walmart | 191216CT5 vs. Pfizer Inc |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Other Complementary Tools
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |