Correlation Between Wah Fu and Ambow Education
Can any of the company-specific risk be diversified away by investing in both Wah Fu and Ambow Education 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 Wah Fu and Ambow Education into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wah Fu Education and Ambow Education Holding, you can compare the effects of market volatilities on Wah Fu and Ambow Education 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 Wah Fu with a short position of Ambow Education. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wah Fu and Ambow Education.
Diversification Opportunities for Wah Fu and Ambow Education
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Wah and Ambow is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Wah Fu Education and Ambow Education Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ambow Education Holding and Wah Fu 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 Wah Fu Education are associated (or correlated) with Ambow Education. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ambow Education Holding has no effect on the direction of Wah Fu i.e., Wah Fu and Ambow Education go up and down completely randomly.
Pair Corralation between Wah Fu and Ambow Education
Given the investment horizon of 90 days Wah Fu is expected to generate 3.12 times less return on investment than Ambow Education. But when comparing it to its historical volatility, Wah Fu Education is 2.37 times less risky than Ambow Education. It trades about 0.1 of its potential returns per unit of risk. Ambow Education Holding is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 145.00 in Ambow Education Holding on September 25, 2024 and sell it today you would earn a total of 30.00 from holding Ambow Education Holding or generate 20.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Wah Fu Education vs. Ambow Education Holding
Performance |
Timeline |
Wah Fu Education |
Ambow Education Holding |
Wah Fu and Ambow Education Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wah Fu and Ambow Education
The main advantage of trading using opposite Wah Fu and Ambow Education positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wah Fu position performs unexpectedly, Ambow Education 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 Ambow Education will offset losses from the drop in Ambow Education's long position.Wah Fu vs. Lixiang Education Holding | Wah Fu vs. Jianzhi Education Technology | Wah Fu vs. Golden Sun Education |
Ambow Education vs. Lixiang Education Holding | Ambow Education vs. Jianzhi Education Technology | Ambow Education 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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