Correlation Between GM and Cboe Vest
Can any of the company-specific risk be diversified away by investing in both GM and Cboe Vest 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 Cboe Vest into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Cboe Vest Sp, you can compare the effects of market volatilities on GM and Cboe Vest 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 Cboe Vest. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Cboe Vest.
Diversification Opportunities for GM and Cboe Vest
Poor diversification
The 3 months correlation between GM and Cboe is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Cboe Vest Sp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cboe Vest Sp 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 Cboe Vest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cboe Vest Sp has no effect on the direction of GM i.e., GM and Cboe Vest go up and down completely randomly.
Pair Corralation between GM and Cboe Vest
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Cboe Vest. In addition to that, GM is 2.53 times more volatile than Cboe Vest Sp. It trades about -0.07 of its total potential returns per unit of risk. Cboe Vest Sp is currently generating about 0.04 per unit of volatility. If you would invest 758.00 in Cboe Vest Sp on September 27, 2024 and sell it today you would earn a total of 3.00 from holding Cboe Vest Sp or generate 0.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
General Motors vs. Cboe Vest Sp
Performance |
Timeline |
General Motors |
Cboe Vest Sp |
GM and Cboe Vest Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Cboe Vest
The main advantage of trading using opposite GM and Cboe Vest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Cboe Vest 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 Cboe Vest will offset losses from the drop in Cboe Vest's long position.The idea behind General Motors and Cboe Vest Sp 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.Cboe Vest vs. Gamco Natural Resources | Cboe Vest vs. Dreyfus Natural Resources | Cboe Vest vs. Alpsalerian Energy Infrastructure | Cboe Vest vs. Tortoise Energy Independence |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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