Correlation Between Bright Scholar and China Resources
Can any of the company-specific risk be diversified away by investing in both Bright Scholar and China Resources 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 Bright Scholar and China Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bright Scholar Education and China Resources Beer, you can compare the effects of market volatilities on Bright Scholar and China Resources 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 Bright Scholar with a short position of China Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bright Scholar and China Resources.
Diversification Opportunities for Bright Scholar and China Resources
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bright and China is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Bright Scholar Education and China Resources Beer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Resources Beer and Bright Scholar 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 Bright Scholar Education are associated (or correlated) with China Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Resources Beer has no effect on the direction of Bright Scholar i.e., Bright Scholar and China Resources go up and down completely randomly.
Pair Corralation between Bright Scholar and China Resources
Given the investment horizon of 90 days Bright Scholar Education is expected to generate 2.08 times more return on investment than China Resources. However, Bright Scholar is 2.08 times more volatile than China Resources Beer. It trades about 0.01 of its potential returns per unit of risk. China Resources Beer is currently generating about -0.02 per unit of risk. If you would invest 251.00 in Bright Scholar Education on October 10, 2024 and sell it today you would lose (81.00) from holding Bright Scholar Education or give up 32.27% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.79% |
Values | Daily Returns |
Bright Scholar Education vs. China Resources Beer
Performance |
Timeline |
Bright Scholar Education |
China Resources Beer |
Bright Scholar and China Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bright Scholar and China Resources
The main advantage of trading using opposite Bright Scholar and China Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bright Scholar position performs unexpectedly, China Resources 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 China Resources will offset losses from the drop in China Resources' long position.Bright Scholar vs. Laureate Education | Bright Scholar vs. China Liberal Education | Bright Scholar vs. Adtalem Global Education | Bright Scholar vs. Grand Canyon Education |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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