Correlation Between Xenia Hotels and ZhongAn Online
Can any of the company-specific risk be diversified away by investing in both Xenia Hotels 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 Xenia Hotels and ZhongAn Online into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xenia Hotels Resorts and ZhongAn Online P, you can compare the effects of market volatilities on Xenia Hotels 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 Xenia Hotels with a short position of ZhongAn Online. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xenia Hotels and ZhongAn Online.
Diversification Opportunities for Xenia Hotels and ZhongAn Online
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Xenia and ZhongAn is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Xenia Hotels Resorts 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 Xenia Hotels 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 Xenia Hotels Resorts 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 Xenia Hotels i.e., Xenia Hotels and ZhongAn Online go up and down completely randomly.
Pair Corralation between Xenia Hotels and ZhongAn Online
Assuming the 90 days trading horizon Xenia Hotels Resorts is expected to generate 0.76 times more return on investment than ZhongAn Online. However, Xenia Hotels Resorts is 1.32 times less risky than ZhongAn Online. It trades about -0.09 of its potential returns per unit of risk. ZhongAn Online P is currently generating about -0.08 per unit of risk. If you would invest 1,450 in Xenia Hotels Resorts on October 4, 2024 and sell it today you would lose (62.00) from holding Xenia Hotels Resorts or give up 4.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Xenia Hotels Resorts vs. ZhongAn Online P
Performance |
Timeline |
Xenia Hotels Resorts |
ZhongAn Online P |
Xenia Hotels and ZhongAn Online Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xenia Hotels and ZhongAn Online
The main advantage of trading using opposite Xenia Hotels and ZhongAn Online positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xenia Hotels 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.Xenia Hotels vs. Mobilezone Holding AG | Xenia Hotels vs. INTERSHOP Communications Aktiengesellschaft | Xenia Hotels vs. Rogers Communications | Xenia Hotels vs. MAVEN WIRELESS SWEDEN |
ZhongAn Online vs. Apple Inc | ZhongAn Online vs. Apple Inc | ZhongAn Online vs. Apple Inc | ZhongAn Online vs. Apple Inc |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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