Correlation Between Kuke Music and Sunlands Technology
Can any of the company-specific risk be diversified away by investing in both Kuke Music and Sunlands 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 Kuke Music and Sunlands Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kuke Music Holding and Sunlands Technology Group, you can compare the effects of market volatilities on Kuke Music and Sunlands 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 Kuke Music with a short position of Sunlands Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kuke Music and Sunlands Technology.
Diversification Opportunities for Kuke Music and Sunlands Technology
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kuke and Sunlands is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Kuke Music Holding and Sunlands Technology Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sunlands Technology and Kuke Music 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 Kuke Music Holding are associated (or correlated) with Sunlands Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sunlands Technology has no effect on the direction of Kuke Music i.e., Kuke Music and Sunlands Technology go up and down completely randomly.
Pair Corralation between Kuke Music and Sunlands Technology
Given the investment horizon of 90 days Kuke Music Holding is expected to generate 1.87 times more return on investment than Sunlands Technology. However, Kuke Music is 1.87 times more volatile than Sunlands Technology Group. It trades about 0.16 of its potential returns per unit of risk. Sunlands Technology Group is currently generating about -0.12 per unit of risk. If you would invest 36.00 in Kuke Music Holding on October 4, 2024 and sell it today you would earn a total of 8.00 from holding Kuke Music Holding or generate 22.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Kuke Music Holding vs. Sunlands Technology Group
Performance |
Timeline |
Kuke Music Holding |
Sunlands Technology |
Kuke Music and Sunlands Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kuke Music and Sunlands Technology
The main advantage of trading using opposite Kuke Music and Sunlands Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kuke Music position performs unexpectedly, Sunlands 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 Sunlands Technology will offset losses from the drop in Sunlands Technology's long position.Kuke Music vs. Cinemark Holdings | Kuke Music vs. News Corp B | Kuke Music vs. Marcus | Kuke Music vs. Liberty Media |
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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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