Correlation Between Citigroup and China Minsh
Can any of the company-specific risk be diversified away by investing in both Citigroup and China Minsh 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 Citigroup and China Minsh into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and China Minsh, you can compare the effects of market volatilities on Citigroup and China Minsh 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 Citigroup with a short position of China Minsh. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and China Minsh.
Diversification Opportunities for Citigroup and China Minsh
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Citigroup and China is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and China Minsh in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Minsh and Citigroup 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 Citigroup are associated (or correlated) with China Minsh. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Minsh has no effect on the direction of Citigroup i.e., Citigroup and China Minsh go up and down completely randomly.
Pair Corralation between Citigroup and China Minsh
Taking into account the 90-day investment horizon Citigroup is expected to generate 1.39 times less return on investment than China Minsh. In addition to that, Citigroup is 1.05 times more volatile than China Minsh. It trades about 0.08 of its total potential returns per unit of risk. China Minsh is currently generating about 0.11 per unit of volatility. If you would invest 388.00 in China Minsh on September 27, 2024 and sell it today you would earn a total of 10.00 from holding China Minsh or generate 2.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Citigroup vs. China Minsh
Performance |
Timeline |
Citigroup |
China Minsh |
Citigroup and China Minsh Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citigroup and China Minsh
The main advantage of trading using opposite Citigroup and China Minsh positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, China Minsh 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 China Minsh will offset losses from the drop in China Minsh's long position.The idea behind Citigroup and China Minsh pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.China Minsh vs. Banco Bradesco SA | China Minsh vs. Itau Unibanco Banco | China Minsh vs. Deutsche Bank AG | China Minsh vs. Banco Santander Brasil |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Other Complementary Tools
CEOs Directory Screen CEOs from public companies around the world | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Economic Indicators Top statistical indicators that provide insights into how an economy is performing |