Correlation Between Talanx AG and Chuangs China
Can any of the company-specific risk be diversified away by investing in both Talanx AG and Chuangs China 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 Talanx AG and Chuangs China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Talanx AG and Chuangs China Investments, you can compare the effects of market volatilities on Talanx AG and Chuangs China 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 Talanx AG with a short position of Chuangs China. Check out your portfolio center. Please also check ongoing floating volatility patterns of Talanx AG and Chuangs China.
Diversification Opportunities for Talanx AG and Chuangs China
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Talanx and Chuangs is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Talanx AG and Chuangs China Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chuangs China Investments and Talanx AG 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 Talanx AG are associated (or correlated) with Chuangs China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chuangs China Investments has no effect on the direction of Talanx AG i.e., Talanx AG and Chuangs China go up and down completely randomly.
Pair Corralation between Talanx AG and Chuangs China
Assuming the 90 days horizon Talanx AG is expected to generate 1.61 times more return on investment than Chuangs China. However, Talanx AG is 1.61 times more volatile than Chuangs China Investments. It trades about 0.13 of its potential returns per unit of risk. Chuangs China Investments is currently generating about 0.0 per unit of risk. If you would invest 7,295 in Talanx AG on October 4, 2024 and sell it today you would earn a total of 830.00 from holding Talanx AG or generate 11.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Talanx AG vs. Chuangs China Investments
Performance |
Timeline |
Talanx AG |
Chuangs China Investments |
Talanx AG and Chuangs China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Talanx AG and Chuangs China
The main advantage of trading using opposite Talanx AG and Chuangs China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Talanx AG position performs unexpectedly, Chuangs China 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 Chuangs China will offset losses from the drop in Chuangs China's long position.Talanx AG vs. SENECA FOODS A | Talanx AG vs. Austevoll Seafood ASA | Talanx AG vs. National Beverage Corp | Talanx AG vs. PARKEN Sport Entertainment |
Chuangs China vs. InterContinental Hotels Group | Chuangs China vs. Selective Insurance Group | Chuangs China vs. Xenia Hotels Resorts | Chuangs China vs. LIFENET INSURANCE CO |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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