Correlation Between Match and Cheche Group
Can any of the company-specific risk be diversified away by investing in both Match and Cheche Group 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 Match and Cheche Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Match Group and Cheche Group Class, you can compare the effects of market volatilities on Match and Cheche Group 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 Match with a short position of Cheche Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Match and Cheche Group.
Diversification Opportunities for Match and Cheche Group
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Match and Cheche is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Match Group and Cheche Group Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cheche Group Class and Match 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 Match Group are associated (or correlated) with Cheche Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cheche Group Class has no effect on the direction of Match i.e., Match and Cheche Group go up and down completely randomly.
Pair Corralation between Match and Cheche Group
Given the investment horizon of 90 days Match Group is expected to under-perform the Cheche Group. But the stock apears to be less risky and, when comparing its historical volatility, Match Group is 2.65 times less risky than Cheche Group. The stock trades about -0.01 of its potential returns per unit of risk. The Cheche Group Class is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 86.00 in Cheche Group Class on December 28, 2024 and sell it today you would earn a total of 32.00 from holding Cheche Group Class or generate 37.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Match Group vs. Cheche Group Class
Performance |
Timeline |
Match Group |
Cheche Group Class |
Match and Cheche Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Match and Cheche Group
The main advantage of trading using opposite Match and Cheche Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Match position performs unexpectedly, Cheche Group 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 Cheche Group will offset losses from the drop in Cheche Group's long position.The idea behind Match Group and Cheche Group Class 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.Cheche Group vs. Nathans Famous | Cheche Group vs. Arm Holdings plc | Cheche Group vs. Ark Restaurants Corp | Cheche Group vs. Globalfoundries |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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