Correlation Between GM and GMV Minerals
Can any of the company-specific risk be diversified away by investing in both GM and GMV Minerals 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 GMV Minerals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and GMV Minerals, you can compare the effects of market volatilities on GM and GMV Minerals 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 GMV Minerals. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and GMV Minerals.
Diversification Opportunities for GM and GMV Minerals
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GM and GMV is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and GMV Minerals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GMV Minerals 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 GMV Minerals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GMV Minerals has no effect on the direction of GM i.e., GM and GMV Minerals go up and down completely randomly.
Pair Corralation between GM and GMV Minerals
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.43 times more return on investment than GMV Minerals. However, General Motors is 2.33 times less risky than GMV Minerals. It trades about 0.16 of its potential returns per unit of risk. GMV Minerals is currently generating about -0.14 per unit of risk. If you would invest 5,096 in General Motors on September 2, 2024 and sell it today you would earn a total of 463.00 from holding General Motors or generate 9.09% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
General Motors vs. GMV Minerals
Performance |
| Timeline |
| General Motors |
| GMV Minerals |
GM and GMV Minerals Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and GMV Minerals
The main advantage of trading using opposite GM and GMV Minerals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, GMV Minerals 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 GMV Minerals will offset losses from the drop in GMV Minerals' long position.The idea behind General Motors and GMV Minerals 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.| GMV Minerals vs. Altamira Gold Corp | GMV Minerals vs. Tarku Resources | GMV Minerals vs. Finlay Minerals | GMV Minerals vs. Adamera Minerals 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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