Correlation Between ZhongAn Online and US Physical
Can any of the company-specific risk be diversified away by investing in both ZhongAn Online and US Physical 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 ZhongAn Online and US Physical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ZhongAn Online P and US Physical Therapy, you can compare the effects of market volatilities on ZhongAn Online and US Physical 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 ZhongAn Online with a short position of US Physical. Check out your portfolio center. Please also check ongoing floating volatility patterns of ZhongAn Online and US Physical.
Diversification Opportunities for ZhongAn Online and US Physical
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between ZhongAn and UPH is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding ZhongAn Online P and US Physical Therapy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on US Physical Therapy and ZhongAn Online 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 ZhongAn Online P are associated (or correlated) with US Physical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of US Physical Therapy has no effect on the direction of ZhongAn Online i.e., ZhongAn Online and US Physical go up and down completely randomly.
Pair Corralation between ZhongAn Online and US Physical
Assuming the 90 days trading horizon ZhongAn Online P is expected to generate 2.4 times more return on investment than US Physical. However, ZhongAn Online is 2.4 times more volatile than US Physical Therapy. It trades about 0.06 of its potential returns per unit of risk. US Physical Therapy is currently generating about -0.2 per unit of risk. If you would invest 142.00 in ZhongAn Online P on December 20, 2024 and sell it today you would earn a total of 13.00 from holding ZhongAn Online P or generate 9.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ZhongAn Online P vs. US Physical Therapy
Performance |
Timeline |
ZhongAn Online P |
US Physical Therapy |
ZhongAn Online and US Physical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ZhongAn Online and US Physical
The main advantage of trading using opposite ZhongAn Online and US Physical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ZhongAn Online position performs unexpectedly, US Physical 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 US Physical will offset losses from the drop in US Physical's long position.ZhongAn Online vs. Fevertree Drinks PLC | ZhongAn Online vs. REVO INSURANCE SPA | ZhongAn Online vs. BOSTON BEER A | ZhongAn Online vs. QBE Insurance Group |
US Physical vs. Universal Health Realty | US Physical vs. ORMAT TECHNOLOGIES | US Physical vs. PKSHA TECHNOLOGY INC | US Physical vs. NORDHEALTH AS NK |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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