Correlation Between GM and FT Cboe

Can any of the company-specific risk be diversified away by investing in both GM and FT Cboe 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 Cboe 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 Cboe Vest, you can compare the effects of market volatilities on GM and FT Cboe 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 Cboe. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and FT Cboe.

Diversification Opportunities for GM and FT Cboe

0.65

Correlation Coefficient

GM  FT Cboe

Poor diversification

The 3 months correlation between GM and BUFQ is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and FT Cboe Vest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FT Cboe Vest 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 Cboe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FT Cboe Vest has no effect on the direction of GM i.e., GM and FT Cboe go up and down completely randomly.

Pair Corralation between GM and FT Cboe

Allowing for the 90-day total investment horizon General Motors is expected to under-perform the FT Cboe. In addition to that, GM is 5.5 times more volatile than FT Cboe Vest. It trades about -0.23 of its total potential returns per unit of risk. FT Cboe Vest is currently generating about 0.15 per unit of volatility. If you would invest  3,117  in FT Cboe Vest on September 23, 2024 and sell it today you would earn a total of  41.00  from holding FT Cboe Vest or generate 1.32% return on investment over 90 days.

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

General Motors  vs.  FT Cboe Vest

General Motors

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating primary indicators, GM may actually be approaching a critical reversion point that can send shares even higher in January 2025.

FT Cboe Vest

Risk-Adjusted Performance

11 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in FT Cboe Vest are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Even with relatively invariable technical and fundamental indicators, FT Cboe is not utilizing all of its potentials. The recent stock price agitation, may contribute to short-term losses for the retail investors.

Pair Trading with GM and FT Cboe

The main advantage of trading using opposite GM and FT Cboe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, FT Cboe 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 Cboe will offset losses from the drop in FT Cboe's long position.

The idea behind General Motors and FT Cboe Vest 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.