Correlation Between GM and Quotient Technology
Can any of the company-specific risk be diversified away by investing in both GM and Quotient Technology 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 Quotient Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Quotient Technology, you can compare the effects of market volatilities on GM and Quotient Technology 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 Quotient Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Quotient Technology.
Diversification Opportunities for GM and Quotient Technology
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between GM and Quotient is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Quotient Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quotient Technology 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 Quotient Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quotient Technology has no effect on the direction of GM i.e., GM and Quotient Technology go up and down completely randomly.
Pair Corralation between GM and Quotient Technology
If you would invest 4,648 in General Motors on August 28, 2024 and sell it today you would earn a total of 1,372 from holding General Motors or generate 29.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 2.38% |
| Values | Daily Returns |
General Motors vs. Quotient Technology
Performance |
| Timeline |
| General Motors |
| Quotient Technology |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
GM and Quotient Technology Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Quotient Technology
The main advantage of trading using opposite GM and Quotient Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Quotient Technology 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 Quotient Technology will offset losses from the drop in Quotient Technology's long position.The idea behind General Motors and Quotient Technology 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.| Quotient Technology vs. Emerald Expositions Events | Quotient Technology vs. Mirriad Advertising plc | Quotient Technology vs. INEO Tech Corp | Quotient Technology vs. Marchex |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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