Correlation Between GM and Nyrstar NV
Can any of the company-specific risk be diversified away by investing in both GM and Nyrstar NV 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 Nyrstar NV into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Nyrstar NV, you can compare the effects of market volatilities on GM and Nyrstar NV 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 Nyrstar NV. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Nyrstar NV.
Diversification Opportunities for GM and Nyrstar NV
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Nyrstar is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Nyrstar NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nyrstar NV 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 Nyrstar NV. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nyrstar NV has no effect on the direction of GM i.e., GM and Nyrstar NV go up and down completely randomly.
Pair Corralation between GM and Nyrstar NV
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.33 times more return on investment than Nyrstar NV. However, General Motors is 3.03 times less risky than Nyrstar NV. It trades about 0.08 of its potential returns per unit of risk. Nyrstar NV is currently generating about -0.01 per unit of risk. If you would invest 3,688 in General Motors on August 26, 2024 and sell it today you would earn a total of 2,165 from holding General Motors or generate 58.7% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 98.52% |
| Values | Daily Returns |
General Motors vs. Nyrstar NV
Performance |
| Timeline |
| General Motors |
| Nyrstar NV |
GM and Nyrstar NV Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Nyrstar NV
The main advantage of trading using opposite GM and Nyrstar NV positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Nyrstar NV 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 Nyrstar NV will offset losses from the drop in Nyrstar NV's long position.The idea behind General Motors and Nyrstar NV 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.| Nyrstar NV vs. Ackermans Van Haaren | Nyrstar NV vs. NV Bekaert SA | Nyrstar NV vs. Groep Brussel Lambert | Nyrstar NV vs. Tubize Fin |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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