Correlation Between GE Aerospace and SmartETFs Dividend
Can any of the company-specific risk be diversified away by investing in both GE Aerospace and SmartETFs Dividend 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 GE Aerospace and SmartETFs Dividend into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GE Aerospace and SmartETFs Dividend Builder, you can compare the effects of market volatilities on GE Aerospace and SmartETFs Dividend 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 SmartETFs Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of GE Aerospace and SmartETFs Dividend.
Diversification Opportunities for GE Aerospace and SmartETFs Dividend
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GE Aerospace and SmartETFs is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding GE Aerospace and SmartETFs Dividend Builder in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SmartETFs Dividend 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 SmartETFs Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SmartETFs Dividend has no effect on the direction of GE Aerospace i.e., GE Aerospace and SmartETFs Dividend go up and down completely randomly.
Pair Corralation between GE Aerospace and SmartETFs Dividend
Allowing for the 90-day total investment horizon GE Aerospace is expected to generate 3.6 times more return on investment than SmartETFs Dividend. However, GE Aerospace is 3.6 times more volatile than SmartETFs Dividend Builder. It trades about 0.02 of its potential returns per unit of risk. SmartETFs Dividend Builder is currently generating about 0.0 per unit of risk. If you would invest 16,945 in GE Aerospace on September 12, 2024 and sell it today you would earn a total of 182.00 from holding GE Aerospace or generate 1.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
GE Aerospace vs. SmartETFs Dividend Builder
Performance |
Timeline |
GE Aerospace |
SmartETFs Dividend |
GE Aerospace and SmartETFs Dividend Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GE Aerospace and SmartETFs Dividend
The main advantage of trading using opposite GE Aerospace and SmartETFs Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GE Aerospace position performs unexpectedly, SmartETFs Dividend 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 SmartETFs Dividend will offset losses from the drop in SmartETFs Dividend's long position.GE Aerospace vs. Victory Integrity Smallmid Cap | GE Aerospace vs. Hilton Worldwide Holdings | GE Aerospace vs. NVIDIA | GE Aerospace vs. JPMorgan Chase Co |
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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 Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
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