Correlation Between GM and Virtus ETF
Can any of the company-specific risk be diversified away by investing in both GM and Virtus ETF 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 Virtus ETF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Virtus ETF Trust, you can compare the effects of market volatilities on GM and Virtus ETF 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 Virtus ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Virtus ETF.
Diversification Opportunities for GM and Virtus ETF
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and Virtus is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Virtus ETF Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Virtus ETF Trust 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 Virtus ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Virtus ETF Trust has no effect on the direction of GM i.e., GM and Virtus ETF go up and down completely randomly.
Pair Corralation between GM and Virtus ETF
Allowing for the 90-day total investment horizon General Motors is expected to generate 8.03 times more return on investment than Virtus ETF. However, GM is 8.03 times more volatile than Virtus ETF Trust. It trades about 0.14 of its potential returns per unit of risk. Virtus ETF Trust is currently generating about 0.18 per unit of risk. If you would invest 3,135 in General Motors on August 26, 2024 and sell it today you would earn a total of 2,718 from holding General Motors or generate 86.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Virtus ETF Trust
Performance |
Timeline |
General Motors |
Virtus ETF Trust |
GM and Virtus ETF Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Virtus ETF
The main advantage of trading using opposite GM and Virtus ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Virtus ETF 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 Virtus ETF will offset losses from the drop in Virtus ETF's long position.The idea behind General Motors and Virtus ETF Trust 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.Virtus ETF vs. BondBloxx ETF Trust | Virtus ETF vs. Virtus ETF Trust | Virtus ETF vs. Ocean Park High | Virtus ETF vs. iShares JP Morgan |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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