Correlation Between China BlueChemical and RLX TECH
Can any of the company-specific risk be diversified away by investing in both China BlueChemical and RLX TECH 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 China BlueChemical and RLX TECH into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China BlueChemical and RLX TECH SPADR1, you can compare the effects of market volatilities on China BlueChemical and RLX TECH 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 China BlueChemical with a short position of RLX TECH. Check out your portfolio center. Please also check ongoing floating volatility patterns of China BlueChemical and RLX TECH.
Diversification Opportunities for China BlueChemical and RLX TECH
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between China and RLX is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding China BlueChemical and RLX TECH SPADR1 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RLX TECH SPADR1 and China BlueChemical 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 China BlueChemical are associated (or correlated) with RLX TECH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RLX TECH SPADR1 has no effect on the direction of China BlueChemical i.e., China BlueChemical and RLX TECH go up and down completely randomly.
Pair Corralation between China BlueChemical and RLX TECH
Assuming the 90 days horizon China BlueChemical is expected to generate 1.65 times less return on investment than RLX TECH. In addition to that, China BlueChemical is 1.37 times more volatile than RLX TECH SPADR1. It trades about 0.07 of its total potential returns per unit of risk. RLX TECH SPADR1 is currently generating about 0.16 per unit of volatility. If you would invest 167.00 in RLX TECH SPADR1 on October 8, 2024 and sell it today you would earn a total of 43.00 from holding RLX TECH SPADR1 or generate 25.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China BlueChemical vs. RLX TECH SPADR1
Performance |
Timeline |
China BlueChemical |
RLX TECH SPADR1 |
China BlueChemical and RLX TECH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China BlueChemical and RLX TECH
The main advantage of trading using opposite China BlueChemical and RLX TECH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China BlueChemical position performs unexpectedly, RLX TECH 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 RLX TECH will offset losses from the drop in RLX TECH's long position.China BlueChemical vs. Yara International ASA | China BlueChemical vs. Superior Plus Corp | China BlueChemical vs. NMI Holdings | China BlueChemical vs. SIVERS SEMICONDUCTORS AB |
RLX TECH vs. Vienna Insurance Group | RLX TECH vs. SBI Insurance Group | RLX TECH vs. The Hanover Insurance | RLX TECH vs. Zurich Insurance Group |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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