Correlation Between Cheche Group and Gelteq Limited
Can any of the company-specific risk be diversified away by investing in both Cheche Group and Gelteq Limited 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 Cheche Group and Gelteq Limited into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cheche Group Class and Gelteq Limited Ordinary, you can compare the effects of market volatilities on Cheche Group and Gelteq Limited 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 Cheche Group with a short position of Gelteq Limited. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cheche Group and Gelteq Limited.
Diversification Opportunities for Cheche Group and Gelteq Limited
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cheche and Gelteq is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Cheche Group Class and Gelteq Limited Ordinary in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gelteq Limited Ordinary and Cheche Group 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 Cheche Group Class are associated (or correlated) with Gelteq Limited. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gelteq Limited Ordinary has no effect on the direction of Cheche Group i.e., Cheche Group and Gelteq Limited go up and down completely randomly.
Pair Corralation between Cheche Group and Gelteq Limited
Considering the 90-day investment horizon Cheche Group is expected to generate 37.4 times less return on investment than Gelteq Limited. But when comparing it to its historical volatility, Cheche Group Class is 6.99 times less risky than Gelteq Limited. It trades about 0.03 of its potential returns per unit of risk. Gelteq Limited Ordinary is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 181.00 in Gelteq Limited Ordinary on October 25, 2024 and sell it today you would earn a total of 84.00 from holding Gelteq Limited Ordinary or generate 46.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cheche Group Class vs. Gelteq Limited Ordinary
Performance |
Timeline |
Cheche Group Class |
Gelteq Limited Ordinary |
Cheche Group and Gelteq Limited Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cheche Group and Gelteq Limited
The main advantage of trading using opposite Cheche Group and Gelteq Limited positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cheche Group position performs unexpectedly, Gelteq Limited 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 Gelteq Limited will offset losses from the drop in Gelteq Limited's long position.Cheche Group vs. Procter Gamble | Cheche Group vs. TFI International | Cheche Group vs. National CineMedia | Cheche Group vs. Sphere Entertainment Co |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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