Correlation Between GM and Pyrum Innovations
Can any of the company-specific risk be diversified away by investing in both GM and Pyrum Innovations 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 Pyrum Innovations into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Pyrum Innovations AG, you can compare the effects of market volatilities on GM and Pyrum Innovations 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 Pyrum Innovations. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Pyrum Innovations.
Diversification Opportunities for GM and Pyrum Innovations
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and Pyrum is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Pyrum Innovations AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pyrum Innovations 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 Pyrum Innovations. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pyrum Innovations has no effect on the direction of GM i.e., GM and Pyrum Innovations go up and down completely randomly.
Pair Corralation between GM and Pyrum Innovations
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Pyrum Innovations. In addition to that, GM is 1.19 times more volatile than Pyrum Innovations AG. It trades about -0.13 of its total potential returns per unit of risk. Pyrum Innovations AG is currently generating about 0.16 per unit of volatility. If you would invest 32,000 in Pyrum Innovations AG on September 16, 2024 and sell it today you would earn a total of 2,400 from holding Pyrum Innovations AG or generate 7.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
General Motors vs. Pyrum Innovations AG
Performance |
Timeline |
General Motors |
Pyrum Innovations |
GM and Pyrum Innovations Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Pyrum Innovations
The main advantage of trading using opposite GM and Pyrum Innovations positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Pyrum Innovations 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 Pyrum Innovations will offset losses from the drop in Pyrum Innovations' long position.The idea behind General Motors and Pyrum Innovations AG 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.Pyrum Innovations vs. Aker Carbon Capture | Pyrum Innovations vs. Vow ASA | Pyrum Innovations vs. Kongsberg Gruppen ASA | Pyrum Innovations vs. Napatech AS |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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