Correlation Between GM and Voya High
Can any of the company-specific risk be diversified away by investing in both GM and Voya High 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 Voya High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Voya High Yield, you can compare the effects of market volatilities on GM and Voya High 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 Voya High. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Voya High.
Diversification Opportunities for GM and Voya High
Excellent diversification
The 3 months correlation between GM and Voya is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Voya High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Voya High Yield 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 Voya High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Voya High Yield has no effect on the direction of GM i.e., GM and Voya High go up and down completely randomly.
Pair Corralation between GM and Voya High
Allowing for the 90-day total investment horizon General Motors is expected to generate 11.74 times more return on investment than Voya High. However, GM is 11.74 times more volatile than Voya High Yield. It trades about 0.08 of its potential returns per unit of risk. Voya High Yield is currently generating about 0.1 per unit of risk. If you would invest 4,790 in General Motors on December 3, 2024 and sell it today you would earn a total of 123.00 from holding General Motors or generate 2.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
General Motors vs. Voya High Yield
Performance |
Timeline |
General Motors |
Voya High Yield |
GM and Voya High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Voya High
The main advantage of trading using opposite GM and Voya High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Voya High 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 Voya High will offset losses from the drop in Voya High's long position.The idea behind General Motors and Voya High Yield 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.Voya High vs. Mondrian Emerging Markets | Voya High vs. Transamerica Emerging Markets | Voya High vs. Siit Emerging Markets | Voya High vs. Pimco Emerging Markets |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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