Correlation Between GM and Quantitative
Can any of the company-specific risk be diversified away by investing in both GM and Quantitative 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 Quantitative into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Quantitative U S, you can compare the effects of market volatilities on GM and Quantitative 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 Quantitative. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Quantitative.
Diversification Opportunities for GM and Quantitative
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Quantitative is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Quantitative U S in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quantitative U S 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 Quantitative. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quantitative U S has no effect on the direction of GM i.e., GM and Quantitative go up and down completely randomly.
Pair Corralation between GM and Quantitative
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.61 times more return on investment than Quantitative. However, GM is 1.61 times more volatile than Quantitative U S. It trades about 0.05 of its potential returns per unit of risk. Quantitative U S is currently generating about 0.06 per unit of risk. If you would invest 3,757 in General Motors on August 30, 2024 and sell it today you would earn a total of 1,793 from holding General Motors or generate 47.72% 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. Quantitative U S
Performance |
Timeline |
General Motors |
Quantitative U S |
GM and Quantitative Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Quantitative
The main advantage of trading using opposite GM and Quantitative positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Quantitative 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 Quantitative will offset losses from the drop in Quantitative's long position.The idea behind General Motors and Quantitative U S 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.Quantitative vs. Dunham Large Cap | Quantitative vs. Aqr Large Cap | Quantitative vs. Fidelity Series 1000 | Quantitative vs. Qs Large Cap |
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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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