Correlation Between GM and Pax High
Can any of the company-specific risk be diversified away by investing in both GM and Pax 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 Pax 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 Pax High Yield, you can compare the effects of market volatilities on GM and Pax 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 Pax High. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Pax High.
Diversification Opportunities for GM and Pax High
Average diversification
The 3 months correlation between GM and Pax is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Pax High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pax 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 Pax High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pax High Yield has no effect on the direction of GM i.e., GM and Pax High go up and down completely randomly.
Pair Corralation between GM and Pax High
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Pax High. In addition to that, GM is 23.12 times more volatile than Pax High Yield. It trades about -0.14 of its total potential returns per unit of risk. Pax High Yield is currently generating about 0.28 per unit of volatility. If you would invest 609.00 in Pax High Yield on September 13, 2024 and sell it today you would earn a total of 4.00 from holding Pax High Yield or generate 0.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Pax High Yield
Performance |
Timeline |
General Motors |
Pax High Yield |
GM and Pax High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Pax High
The main advantage of trading using opposite GM and Pax High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Pax 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 Pax High will offset losses from the drop in Pax High's long position.The idea behind General Motors and Pax 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.Pax High vs. L Abbett Fundamental | Pax High vs. Small Cap Stock | Pax High vs. T Rowe Price | Pax High vs. Versatile Bond Portfolio |
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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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