Correlation Between GM and NV Bekaert
Can any of the company-specific risk be diversified away by investing in both GM and NV Bekaert 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 NV Bekaert into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and NV Bekaert SA, you can compare the effects of market volatilities on GM and NV Bekaert 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 NV Bekaert. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and NV Bekaert.
Diversification Opportunities for GM and NV Bekaert
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GM and BEKB is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and NV Bekaert SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NV Bekaert SA 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 NV Bekaert. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NV Bekaert SA has no effect on the direction of GM i.e., GM and NV Bekaert go up and down completely randomly.
Pair Corralation between GM and NV Bekaert
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.72 times more return on investment than NV Bekaert. However, GM is 1.72 times more volatile than NV Bekaert SA. It trades about 0.12 of its potential returns per unit of risk. NV Bekaert SA is currently generating about -0.05 per unit of risk. If you would invest 5,197 in General Motors on August 31, 2024 and sell it today you would earn a total of 353.00 from holding General Motors or generate 6.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
General Motors vs. NV Bekaert SA
Performance |
| Timeline |
| General Motors |
| NV Bekaert SA |
GM and NV Bekaert Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and NV Bekaert
The main advantage of trading using opposite GM and NV Bekaert positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, NV Bekaert 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 NV Bekaert will offset losses from the drop in NV Bekaert's long position.The idea behind General Motors and NV Bekaert SA 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.| NV Bekaert vs. Solvay SA | NV Bekaert vs. Ackermans Van Haaren | NV Bekaert vs. Barco NV | NV Bekaert vs. Etablissementen Franz Colruyt |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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