Correlation Between GM and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both GM and Emerging Markets 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 Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Emerging Markets Fund, you can compare the effects of market volatilities on GM and Emerging Markets 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 Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Emerging Markets.
Diversification Opportunities for GM and Emerging Markets
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and Emerging is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Emerging Markets Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets 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 Emerging Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emerging Markets has no effect on the direction of GM i.e., GM and Emerging Markets go up and down completely randomly.
Pair Corralation between GM and Emerging Markets
Allowing for the 90-day total investment horizon General Motors is expected to generate 3.55 times more return on investment than Emerging Markets. However, GM is 3.55 times more volatile than Emerging Markets Fund. It trades about 0.18 of its potential returns per unit of risk. Emerging Markets Fund is currently generating about -0.25 per unit of risk. If you would invest 4,568 in General Motors on September 4, 2024 and sell it today you would earn a total of 936.00 from holding General Motors or generate 20.49% 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. Emerging Markets Fund
Performance |
Timeline |
General Motors |
Emerging Markets |
GM and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Emerging Markets
The main advantage of trading using opposite GM and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Emerging Markets 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 Emerging Markets will offset losses from the drop in Emerging Markets' long position.The idea behind General Motors and Emerging Markets Fund 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.Emerging Markets vs. Fidelity Advisor Financial | Emerging Markets vs. Icon Financial Fund | Emerging Markets vs. John Hancock Financial | Emerging Markets vs. Prudential Financial Services |
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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