Correlation Between ZhongAn Online and Townsquare Media
Can any of the company-specific risk be diversified away by investing in both ZhongAn Online and Townsquare Media 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 Townsquare Media 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 Townsquare Media, you can compare the effects of market volatilities on ZhongAn Online and Townsquare Media 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 Townsquare Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of ZhongAn Online and Townsquare Media.
Diversification Opportunities for ZhongAn Online and Townsquare Media
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ZhongAn and Townsquare is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding ZhongAn Online P and Townsquare Media in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Townsquare Media 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 Townsquare Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Townsquare Media has no effect on the direction of ZhongAn Online i.e., ZhongAn Online and Townsquare Media go up and down completely randomly.
Pair Corralation between ZhongAn Online and Townsquare Media
Assuming the 90 days horizon ZhongAn Online P is expected to under-perform the Townsquare Media. In addition to that, ZhongAn Online is 1.22 times more volatile than Townsquare Media. It trades about -0.05 of its total potential returns per unit of risk. Townsquare Media is currently generating about 0.04 per unit of volatility. If you would invest 667.00 in Townsquare Media on October 11, 2024 and sell it today you would earn a total of 266.00 from holding Townsquare Media or generate 39.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ZhongAn Online P vs. Townsquare Media
Performance |
Timeline |
ZhongAn Online P |
Townsquare Media |
ZhongAn Online and Townsquare Media Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ZhongAn Online and Townsquare Media
The main advantage of trading using opposite ZhongAn Online and Townsquare Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ZhongAn Online position performs unexpectedly, Townsquare Media 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 Townsquare Media will offset losses from the drop in Townsquare Media's long position.ZhongAn Online vs. Progressive Corp | ZhongAn Online vs. White Mountains Insurance | ZhongAn Online vs. Chubb | ZhongAn Online vs. W R Berkley |
Townsquare Media vs. Mirriad Advertising plc | Townsquare Media vs. INEO Tech Corp | Townsquare Media vs. Kidoz Inc | Townsquare Media vs. Marchex |
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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