Correlation Between Wah Fu and Elite Education
Can any of the company-specific risk be diversified away by investing in both Wah Fu and Elite 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 Elite 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 Elite Education Group, you can compare the effects of market volatilities on Wah Fu and Elite 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 Elite Education. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wah Fu and Elite Education.
Diversification Opportunities for Wah Fu and Elite Education
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Wah and Elite is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Wah Fu Education and Elite Education Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Elite Education Group 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 Elite Education. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Elite Education Group has no effect on the direction of Wah Fu i.e., Wah Fu and Elite Education go up and down completely randomly.
Pair Corralation between Wah Fu and Elite Education
Given the investment horizon of 90 days Wah Fu Education is expected to generate 2.11 times more return on investment than Elite Education. However, Wah Fu is 2.11 times more volatile than Elite Education Group. It trades about 0.03 of its potential returns per unit of risk. Elite Education Group is currently generating about -0.11 per unit of risk. If you would invest 173.00 in Wah Fu Education on December 27, 2024 and sell it today you would lose (8.00) from holding Wah Fu Education or give up 4.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Wah Fu Education vs. Elite Education Group
Performance |
Timeline |
Wah Fu Education |
Elite Education Group |
Wah Fu and Elite Education Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wah Fu and Elite Education
The main advantage of trading using opposite Wah Fu and Elite Education positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wah Fu position performs unexpectedly, Elite 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 Elite Education will offset losses from the drop in Elite Education's long position.Wah Fu vs. Four Seasons Education | Wah Fu vs. Sunlands Technology Group | Wah Fu vs. 51Talk Online Education | Wah Fu vs. Golden Sun Education |
Elite Education vs. Golden Sun Education | Elite Education vs. Jianzhi Education Technology | Elite Education vs. Genius Group | Elite Education vs. Lixiang Education Holding |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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