Correlation Between China Liberal and Wah Fu
Can any of the company-specific risk be diversified away by investing in both China Liberal and Wah Fu 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 Liberal and Wah Fu into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Liberal Education and Wah Fu Education, you can compare the effects of market volatilities on China Liberal and Wah Fu 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 Liberal with a short position of Wah Fu. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Liberal and Wah Fu.
Diversification Opportunities for China Liberal and Wah Fu
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between China and Wah is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding China Liberal Education and Wah Fu Education in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wah Fu Education and China Liberal 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 Liberal Education are associated (or correlated) with Wah Fu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wah Fu Education has no effect on the direction of China Liberal i.e., China Liberal and Wah Fu go up and down completely randomly.
Pair Corralation between China Liberal and Wah Fu
Given the investment horizon of 90 days China Liberal Education is expected to generate 14.69 times more return on investment than Wah Fu. However, China Liberal is 14.69 times more volatile than Wah Fu Education. It trades about 0.11 of its potential returns per unit of risk. Wah Fu Education is currently generating about 0.03 per unit of risk. If you would invest 365.00 in China Liberal Education on December 27, 2024 and sell it today you would lose (169.00) from holding China Liberal Education or give up 46.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
China Liberal Education vs. Wah Fu Education
Performance |
Timeline |
China Liberal Education |
Wah Fu Education |
China Liberal and Wah Fu Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Liberal and Wah Fu
The main advantage of trading using opposite China Liberal and Wah Fu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Liberal position performs unexpectedly, Wah Fu 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 Wah Fu will offset losses from the drop in Wah Fu's long position.China Liberal vs. Lixiang Education Holding | China Liberal vs. Four Seasons Education | China Liberal vs. Jianzhi Education Technology | China Liberal vs. Elite Education Group |
Wah Fu vs. Four Seasons Education | Wah Fu vs. Sunlands Technology Group | Wah Fu vs. 51Talk Online Education | Wah Fu vs. Golden Sun Education |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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