Correlation Between Group 1 and SunCar Technology
Can any of the company-specific risk be diversified away by investing in both Group 1 and SunCar 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 Group 1 and SunCar Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Group 1 Automotive and SunCar Technology Group, you can compare the effects of market volatilities on Group 1 and SunCar 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 Group 1 with a short position of SunCar Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Group 1 and SunCar Technology.
Diversification Opportunities for Group 1 and SunCar Technology
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Group and SunCar is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Group 1 Automotive and SunCar Technology Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SunCar Technology and Group 1 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 Group 1 Automotive are associated (or correlated) with SunCar Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SunCar Technology has no effect on the direction of Group 1 i.e., Group 1 and SunCar Technology go up and down completely randomly.
Pair Corralation between Group 1 and SunCar Technology
Considering the 90-day investment horizon Group 1 Automotive is expected to generate 0.33 times more return on investment than SunCar Technology. However, Group 1 Automotive is 3.05 times less risky than SunCar Technology. It trades about -0.04 of its potential returns per unit of risk. SunCar Technology Group is currently generating about -0.17 per unit of risk. If you would invest 42,268 in Group 1 Automotive on December 27, 2024 and sell it today you would lose (2,624) from holding Group 1 Automotive or give up 6.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Group 1 Automotive vs. SunCar Technology Group
Performance |
Timeline |
Group 1 Automotive |
SunCar Technology |
Group 1 and SunCar Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Group 1 and SunCar Technology
The main advantage of trading using opposite Group 1 and SunCar Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Group 1 position performs unexpectedly, SunCar 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 SunCar Technology will offset losses from the drop in SunCar Technology's long position.Group 1 vs. Penske Automotive Group | Group 1 vs. Lithia Motors | Group 1 vs. AutoNation | Group 1 vs. Asbury Automotive Group |
SunCar Technology vs. Ultrapar Participacoes SA | SunCar Technology vs. Companhia Siderurgica Nacional | SunCar Technology vs. Dawson Geophysical |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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