Correlation Between Shenzhen Investment and EMBARK EDUCATION
Can any of the company-specific risk be diversified away by investing in both Shenzhen Investment and EMBARK 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 Shenzhen Investment and EMBARK EDUCATION into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shenzhen Investment Limited and EMBARK EDUCATION LTD, you can compare the effects of market volatilities on Shenzhen Investment and EMBARK 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 Shenzhen Investment with a short position of EMBARK EDUCATION. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shenzhen Investment and EMBARK EDUCATION.
Diversification Opportunities for Shenzhen Investment and EMBARK EDUCATION
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Shenzhen and EMBARK is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Shenzhen Investment Limited and EMBARK EDUCATION LTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EMBARK EDUCATION LTD and Shenzhen Investment 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 Shenzhen Investment Limited are associated (or correlated) with EMBARK EDUCATION. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EMBARK EDUCATION LTD has no effect on the direction of Shenzhen Investment i.e., Shenzhen Investment and EMBARK EDUCATION go up and down completely randomly.
Pair Corralation between Shenzhen Investment and EMBARK EDUCATION
Assuming the 90 days horizon Shenzhen Investment is expected to generate 1.42 times less return on investment than EMBARK EDUCATION. In addition to that, Shenzhen Investment is 4.05 times more volatile than EMBARK EDUCATION LTD. It trades about 0.01 of its total potential returns per unit of risk. EMBARK EDUCATION LTD is currently generating about 0.05 per unit of volatility. If you would invest 23.00 in EMBARK EDUCATION LTD on October 27, 2024 and sell it today you would earn a total of 8.00 from holding EMBARK EDUCATION LTD or generate 34.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Shenzhen Investment Limited vs. EMBARK EDUCATION LTD
Performance |
Timeline |
Shenzhen Investment |
EMBARK EDUCATION LTD |
Shenzhen Investment and EMBARK EDUCATION Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shenzhen Investment and EMBARK EDUCATION
The main advantage of trading using opposite Shenzhen Investment and EMBARK EDUCATION positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shenzhen Investment position performs unexpectedly, EMBARK 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 EMBARK EDUCATION will offset losses from the drop in EMBARK EDUCATION's long position.Shenzhen Investment vs. China Overseas Land | Shenzhen Investment vs. Mitsui Fudosan Co | Shenzhen Investment vs. Sino Land | Shenzhen Investment vs. Hongkong Land Holdings |
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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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