Correlation Between GM and AngloGold Ashanti
Can any of the company-specific risk be diversified away by investing in both GM and AngloGold Ashanti 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 AngloGold Ashanti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and AngloGold Ashanti plc, you can compare the effects of market volatilities on GM and AngloGold Ashanti 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 AngloGold Ashanti. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and AngloGold Ashanti.
Diversification Opportunities for GM and AngloGold Ashanti
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and AngloGold is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and AngloGold Ashanti plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AngloGold Ashanti plc 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 AngloGold Ashanti. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AngloGold Ashanti plc has no effect on the direction of GM i.e., GM and AngloGold Ashanti go up and down completely randomly.
Pair Corralation between GM and AngloGold Ashanti
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the AngloGold Ashanti. In addition to that, GM is 1.0 times more volatile than AngloGold Ashanti plc. It trades about -0.03 of its total potential returns per unit of risk. AngloGold Ashanti plc is currently generating about 0.29 per unit of volatility. If you would invest 2,314 in AngloGold Ashanti plc on December 26, 2024 and sell it today you would earn a total of 1,242 from holding AngloGold Ashanti plc or generate 53.67% 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. AngloGold Ashanti plc
Performance |
Timeline |
General Motors |
AngloGold Ashanti plc |
GM and AngloGold Ashanti Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and AngloGold Ashanti
The main advantage of trading using opposite GM and AngloGold Ashanti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, AngloGold Ashanti 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 AngloGold Ashanti will offset losses from the drop in AngloGold Ashanti's long position.The idea behind General Motors and AngloGold Ashanti plc 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.AngloGold Ashanti vs. Harmony Gold Mining | AngloGold Ashanti vs. Eldorado Gold Corp | AngloGold Ashanti vs. Kinross Gold | AngloGold Ashanti vs. Pan American Silver |
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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