Correlation Between Cango and Cars
Can any of the company-specific risk be diversified away by investing in both Cango and Cars 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 Cango and Cars into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cango Inc and Cars Inc, you can compare the effects of market volatilities on Cango and Cars 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 Cango with a short position of Cars. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cango and Cars.
Diversification Opportunities for Cango and Cars
Poor diversification
The 3 months correlation between Cango and Cars is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Cango Inc and Cars Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cars Inc and Cango 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 Cango Inc are associated (or correlated) with Cars. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cars Inc has no effect on the direction of Cango i.e., Cango and Cars go up and down completely randomly.
Pair Corralation between Cango and Cars
Given the investment horizon of 90 days Cango Inc is expected to generate 1.45 times more return on investment than Cars. However, Cango is 1.45 times more volatile than Cars Inc. It trades about -0.04 of its potential returns per unit of risk. Cars Inc is currently generating about -0.13 per unit of risk. If you would invest 492.00 in Cango Inc on December 27, 2024 and sell it today you would lose (98.00) from holding Cango Inc or give up 19.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Cango Inc vs. Cars Inc
Performance |
Timeline |
Cango Inc |
Cars Inc |
Cango and Cars Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cango and Cars
The main advantage of trading using opposite Cango and Cars positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cango position performs unexpectedly, Cars 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 Cars will offset losses from the drop in Cars' long position.Cango vs. Cars Inc | Cango vs. KAR Auction Services | Cango vs. Rush Enterprises B | Cango vs. Rush Enterprises A |
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 Directory module to find actively traded commodities issued by global exchanges.
Other Complementary Tools
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data |