Correlation Between GM and PARAGON GROUP
Can any of the company-specific risk be diversified away by investing in both GM and PARAGON GROUP 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 PARAGON GROUP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and PARAGON GROUP, you can compare the effects of market volatilities on GM and PARAGON GROUP 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 PARAGON GROUP. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and PARAGON GROUP.
Diversification Opportunities for GM and PARAGON GROUP
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and PARAGON is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and PARAGON GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PARAGON GROUP 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 PARAGON GROUP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PARAGON GROUP has no effect on the direction of GM i.e., GM and PARAGON GROUP go up and down completely randomly.
Pair Corralation between GM and PARAGON GROUP
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the PARAGON GROUP. In addition to that, GM is 1.46 times more volatile than PARAGON GROUP. It trades about -0.03 of its total potential returns per unit of risk. PARAGON GROUP is currently generating about 0.08 per unit of volatility. If you would invest 864.00 in PARAGON GROUP on December 26, 2024 and sell it today you would earn a total of 66.00 from holding PARAGON GROUP or generate 7.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.39% |
Values | Daily Returns |
General Motors vs. PARAGON GROUP
Performance |
Timeline |
General Motors |
PARAGON GROUP |
GM and PARAGON GROUP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and PARAGON GROUP
The main advantage of trading using opposite GM and PARAGON GROUP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, PARAGON GROUP 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 PARAGON GROUP will offset losses from the drop in PARAGON GROUP's long position.The idea behind General Motors and PARAGON GROUP 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.PARAGON GROUP vs. Scientific Games | PARAGON GROUP vs. CONTAGIOUS GAMING INC | PARAGON GROUP vs. BJs Wholesale Club | PARAGON GROUP vs. H2O Retailing |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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