Correlation Between GM and QuantumSi
Can any of the company-specific risk be diversified away by investing in both GM and QuantumSi 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 QuantumSi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and QuantumSi, you can compare the effects of market volatilities on GM and QuantumSi 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 QuantumSi. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and QuantumSi.
Diversification Opportunities for GM and QuantumSi
Modest diversification
The 3 months correlation between GM and QuantumSi is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and QuantumSi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on QuantumSi 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 QuantumSi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of QuantumSi has no effect on the direction of GM i.e., GM and QuantumSi go up and down completely randomly.
Pair Corralation between GM and QuantumSi
Allowing for the 90-day total investment horizon GM is expected to generate 15.64 times less return on investment than QuantumSi. But when comparing it to its historical volatility, General Motors is 9.87 times less risky than QuantumSi. It trades about 0.09 of its potential returns per unit of risk. QuantumSi is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 77.00 in QuantumSi on August 29, 2024 and sell it today you would earn a total of 37.00 from holding QuantumSi or generate 48.05% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
General Motors vs. QuantumSi
Performance |
| Timeline |
| General Motors |
| QuantumSi |
GM and QuantumSi Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and QuantumSi
The main advantage of trading using opposite GM and QuantumSi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, QuantumSi 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 QuantumSi will offset losses from the drop in QuantumSi's long position.The idea behind General Motors and QuantumSi 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.| QuantumSi vs. Nurix Therapeutics | QuantumSi vs. Seer Inc | QuantumSi vs. HCW Biologics | QuantumSi vs. MediciNova |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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