Correlation Between Danske Bank and China Merchants
Can any of the company-specific risk be diversified away by investing in both Danske Bank 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 Danske Bank and China Merchants into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Danske Bank AS and China Merchants Bank, you can compare the effects of market volatilities on Danske Bank 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 Danske Bank with a short position of China Merchants. Check out your portfolio center. Please also check ongoing floating volatility patterns of Danske Bank and China Merchants.
Diversification Opportunities for Danske Bank and China Merchants
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Danske and China is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Danske Bank AS 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 Danske Bank 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 Danske Bank AS 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 Danske Bank i.e., Danske Bank and China Merchants go up and down completely randomly.
Pair Corralation between Danske Bank and China Merchants
Assuming the 90 days horizon Danske Bank AS is expected to generate 0.47 times more return on investment than China Merchants. However, Danske Bank AS is 2.11 times less risky than China Merchants. It trades about 0.08 of its potential returns per unit of risk. China Merchants Bank is currently generating about 0.01 per unit of risk. If you would invest 736.00 in Danske Bank AS on January 26, 2024 and sell it today you would earn a total of 751.00 from holding Danske Bank AS or generate 102.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 93.54% |
Values | Daily Returns |
Danske Bank AS vs. China Merchants Bank
Performance |
Timeline |
Danske Bank AS |
China Merchants Bank |
Danske Bank and China Merchants Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Danske Bank and China Merchants
The main advantage of trading using opposite Danske Bank and China Merchants positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Danske Bank 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.Danske Bank vs. Stevia Nutra Corp | Danske Bank vs. Regent Ventures | Danske Bank vs. Element Global | Danske Bank vs. Affiliated Resources Corp |
China Merchants vs. Lloyds Banking Group | China Merchants vs. Western Alliance Bancorporation | China Merchants vs. JAPAN POST 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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