Correlation Between GM and Galane Gold
Can any of the company-specific risk be diversified away by investing in both GM and Galane Gold 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 Galane Gold into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Galane Gold, you can compare the effects of market volatilities on GM and Galane Gold 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 Galane Gold. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Galane Gold.
Diversification Opportunities for GM and Galane Gold
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Galane is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Galane Gold in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Galane Gold 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 Galane Gold. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Galane Gold has no effect on the direction of GM i.e., GM and Galane Gold go up and down completely randomly.
Pair Corralation between GM and Galane Gold
Allowing for the 90-day total investment horizon GM is expected to generate 1.71 times less return on investment than Galane Gold. But when comparing it to its historical volatility, General Motors is 3.51 times less risky than Galane Gold. It trades about 0.06 of its potential returns per unit of risk. Galane Gold is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 25.00 in Galane Gold on September 13, 2024 and sell it today you would lose (6.00) from holding Galane Gold or give up 24.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Galane Gold
Performance |
Timeline |
General Motors |
Galane Gold |
GM and Galane Gold Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Galane Gold
The main advantage of trading using opposite GM and Galane Gold positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Galane Gold 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 Galane Gold will offset losses from the drop in Galane Gold's long position.The idea behind General Motors and Galane Gold 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.Galane Gold vs. Fortuna Silver Mines | Galane Gold vs. White Gold Corp | Galane Gold vs. Maple Gold Mines | Galane Gold vs. Orogen Royalties |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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