Correlation Between Grand Canyon and ZhongAn Online
Can any of the company-specific risk be diversified away by investing in both Grand Canyon and ZhongAn Online 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 Grand Canyon and ZhongAn Online into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grand Canyon Education and ZhongAn Online P, you can compare the effects of market volatilities on Grand Canyon and ZhongAn Online 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 Grand Canyon with a short position of ZhongAn Online. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grand Canyon and ZhongAn Online.
Diversification Opportunities for Grand Canyon and ZhongAn Online
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Grand and ZhongAn is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Grand Canyon Education and ZhongAn Online P in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ZhongAn Online P and Grand Canyon 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 Grand Canyon Education are associated (or correlated) with ZhongAn Online. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ZhongAn Online P has no effect on the direction of Grand Canyon i.e., Grand Canyon and ZhongAn Online go up and down completely randomly.
Pair Corralation between Grand Canyon and ZhongAn Online
Assuming the 90 days trading horizon Grand Canyon Education is expected to under-perform the ZhongAn Online. But the stock apears to be less risky and, when comparing its historical volatility, Grand Canyon Education is 2.7 times less risky than ZhongAn Online. The stock trades about -0.01 of its potential returns per unit of risk. The ZhongAn Online P is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 143.00 in ZhongAn Online P on December 22, 2024 and sell it today you would earn a total of 15.00 from holding ZhongAn Online P or generate 10.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Grand Canyon Education vs. ZhongAn Online P
Performance |
Timeline |
Grand Canyon Education |
ZhongAn Online P |
Grand Canyon and ZhongAn Online Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grand Canyon and ZhongAn Online
The main advantage of trading using opposite Grand Canyon and ZhongAn Online positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grand Canyon position performs unexpectedly, ZhongAn Online 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 ZhongAn Online will offset losses from the drop in ZhongAn Online's long position.Grand Canyon vs. REVO INSURANCE SPA | Grand Canyon vs. MSAD INSURANCE | Grand Canyon vs. Digilife Technologies Limited | Grand Canyon vs. ORMAT TECHNOLOGIES |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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