Correlation Between Talanx AG and Citic Telecom
Can any of the company-specific risk be diversified away by investing in both Talanx AG and Citic Telecom 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 Citic Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Talanx AG and Citic Telecom International, you can compare the effects of market volatilities on Talanx AG and Citic Telecom 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 Citic Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Talanx AG and Citic Telecom.
Diversification Opportunities for Talanx AG and Citic Telecom
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Talanx and Citic is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Talanx AG and Citic Telecom International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Citic Telecom Intern 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 Citic Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Citic Telecom Intern has no effect on the direction of Talanx AG i.e., Talanx AG and Citic Telecom go up and down completely randomly.
Pair Corralation between Talanx AG and Citic Telecom
Assuming the 90 days trading horizon Talanx AG is expected to generate 0.78 times more return on investment than Citic Telecom. However, Talanx AG is 1.29 times less risky than Citic Telecom. It trades about 0.25 of its potential returns per unit of risk. Citic Telecom International is currently generating about 0.06 per unit of risk. If you would invest 7,150 in Talanx AG on October 6, 2024 and sell it today you would earn a total of 1,150 from holding Talanx AG or generate 16.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 97.5% |
Values | Daily Returns |
Talanx AG vs. Citic Telecom International
Performance |
Timeline |
Talanx AG |
Citic Telecom Intern |
Talanx AG and Citic Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Talanx AG and Citic Telecom
The main advantage of trading using opposite Talanx AG and Citic Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Talanx AG position performs unexpectedly, Citic Telecom 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 Citic Telecom will offset losses from the drop in Citic Telecom's long position.Talanx AG vs. Berkshire Hathaway | Talanx AG vs. Allianz SE VNA | Talanx AG vs. AXA SA | Talanx AG vs. AXA SA |
Citic Telecom vs. Apple Inc | Citic Telecom vs. Apple Inc | Citic Telecom vs. Apple Inc | Citic Telecom 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Other Complementary Tools
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |