Correlation Between GM and FT AlphaDEX
Can any of the company-specific risk be diversified away by investing in both GM and FT AlphaDEX 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 GM and FT AlphaDEX into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and FT AlphaDEX Industrials, you can compare the effects of market volatilities on GM and FT AlphaDEX 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 GM with a short position of FT AlphaDEX. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and FT AlphaDEX.
Diversification Opportunities for GM and FT AlphaDEX
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and FHG is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and FT AlphaDEX Industrials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FT AlphaDEX Industrials and GM 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 General Motors are associated (or correlated) with FT AlphaDEX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FT AlphaDEX Industrials has no effect on the direction of GM i.e., GM and FT AlphaDEX go up and down completely randomly.
Pair Corralation between GM and FT AlphaDEX
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the FT AlphaDEX. In addition to that, GM is 2.56 times more volatile than FT AlphaDEX Industrials. It trades about -0.03 of its total potential returns per unit of risk. FT AlphaDEX Industrials is currently generating about -0.04 per unit of volatility. If you would invest 5,647 in FT AlphaDEX Industrials on December 2, 2024 and sell it today you would lose (93.00) from holding FT AlphaDEX Industrials or give up 1.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
General Motors vs. FT AlphaDEX Industrials
Performance |
Timeline |
General Motors |
FT AlphaDEX Industrials |
GM and FT AlphaDEX Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and FT AlphaDEX
The main advantage of trading using opposite GM and FT AlphaDEX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, FT AlphaDEX 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 FT AlphaDEX will offset losses from the drop in FT AlphaDEX's long position.The idea behind General Motors and FT AlphaDEX Industrials 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.FT AlphaDEX vs. First Trust AlphaDEX | FT AlphaDEX vs. First Trust AlphaDEX | FT AlphaDEX vs. First Trust Senior | FT AlphaDEX vs. First Trust Value |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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