Correlation Between GM and Mineros SA
Can any of the company-specific risk be diversified away by investing in both GM and Mineros SA 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 Mineros SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Mineros SA, you can compare the effects of market volatilities on GM and Mineros SA 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 Mineros SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Mineros SA.
Diversification Opportunities for GM and Mineros SA
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Mineros is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Mineros SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mineros 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 Mineros SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mineros SA has no effect on the direction of GM i.e., GM and Mineros SA go up and down completely randomly.
Pair Corralation between GM and Mineros SA
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.83 times more return on investment than Mineros SA. However, General Motors is 1.21 times less risky than Mineros SA. It trades about 0.07 of its potential returns per unit of risk. Mineros SA is currently generating about 0.02 per unit of risk. If you would invest 5,273 in General Motors on August 29, 2024 and sell it today you would earn a total of 206.00 from holding General Motors or generate 3.91% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
General Motors vs. Mineros SA
Performance |
| Timeline |
| General Motors |
| Mineros SA |
GM and Mineros SA Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Mineros SA
The main advantage of trading using opposite GM and Mineros SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Mineros SA 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 Mineros SA will offset losses from the drop in Mineros SA's long position.The idea behind General Motors and Mineros 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.| Mineros SA vs. Sailfish Royalty Corp | Mineros SA vs. Signal Gold | Mineros SA vs. Perseus Mining | Mineros SA vs. Automotive Finco Corp |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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