Correlation Between Banco Do and China Merchants
Can any of the company-specific risk be diversified away by investing in both Banco Do and China Merchants 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 Banco Do and China Merchants into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Banco do Brasil and China Merchants Bank, you can compare the effects of market volatilities on Banco Do and China Merchants 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 Banco Do with a short position of China Merchants. Check out your portfolio center. Please also check ongoing floating volatility patterns of Banco Do and China Merchants.
Diversification Opportunities for Banco Do and China Merchants
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Banco and China is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Banco do Brasil and China Merchants Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Merchants Bank and Banco Do 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 Banco do Brasil are associated (or correlated) with China Merchants. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Merchants Bank has no effect on the direction of Banco Do i.e., Banco Do and China Merchants go up and down completely randomly.
Pair Corralation between Banco Do and China Merchants
Assuming the 90 days trading horizon Banco do Brasil is expected to generate 0.61 times more return on investment than China Merchants. However, Banco do Brasil is 1.63 times less risky than China Merchants. It trades about 0.24 of its potential returns per unit of risk. China Merchants Bank is currently generating about 0.11 per unit of risk. If you would invest 2,362 in Banco do Brasil on December 30, 2024 and sell it today you would earn a total of 502.00 from holding Banco do Brasil or generate 21.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Banco do Brasil vs. China Merchants Bank
Performance |
Timeline |
Banco do Brasil |
China Merchants Bank |
Banco Do and China Merchants Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Banco Do and China Merchants
The main advantage of trading using opposite Banco Do and China Merchants positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Banco Do position performs unexpectedly, China Merchants 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 Merchants will offset losses from the drop in China Merchants' long position.Banco Do vs. Banco Bradesco SA | Banco Do vs. Petrleo Brasileiro SA | Banco Do vs. Ita Unibanco Holding | Banco Do vs. Itasa Investimentos |
China Merchants vs. China Everbright Bank | China Merchants vs. China Merchants Bank | China Merchants vs. Postal Savings Bank | China Merchants vs. China Citic Bank |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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