Correlation Between GM and Guillemot
Can any of the company-specific risk be diversified away by investing in both GM and Guillemot 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 Guillemot into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Guillemot SA, you can compare the effects of market volatilities on GM and Guillemot 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 Guillemot. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Guillemot.
Diversification Opportunities for GM and Guillemot
Very weak diversification
The 3 months correlation between GM and Guillemot is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Guillemot SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guillemot 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 Guillemot. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guillemot SA has no effect on the direction of GM i.e., GM and Guillemot go up and down completely randomly.
Pair Corralation between GM and Guillemot
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.69 times more return on investment than Guillemot. However, General Motors is 1.45 times less risky than Guillemot. It trades about 0.11 of its potential returns per unit of risk. Guillemot SA is currently generating about 0.01 per unit of risk. If you would invest 3,348 in General Motors on September 3, 2024 and sell it today you would earn a total of 2,156 from holding General Motors or generate 64.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
General Motors vs. Guillemot SA
Performance |
Timeline |
General Motors |
Guillemot SA |
GM and Guillemot Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Guillemot
The main advantage of trading using opposite GM and Guillemot positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Guillemot 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 Guillemot will offset losses from the drop in Guillemot's long position.The idea behind General Motors and Guillemot 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.Guillemot vs. Claranova SE | Guillemot vs. SA Catana Group | Guillemot vs. Neurones | Guillemot vs. Groupe Guillin SA |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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