Correlation Between Deutsche Bank and Lianhua Supermarket
Can any of the company-specific risk be diversified away by investing in both Deutsche Bank and Lianhua Supermarket 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 Deutsche Bank and Lianhua Supermarket into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Deutsche Bank Aktiengesellschaft and Lianhua Supermarket Holdings, you can compare the effects of market volatilities on Deutsche Bank and Lianhua Supermarket 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 Deutsche Bank with a short position of Lianhua Supermarket. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Bank and Lianhua Supermarket.
Diversification Opportunities for Deutsche Bank and Lianhua Supermarket
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Deutsche and Lianhua is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Bank Aktiengesellscha and Lianhua Supermarket Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lianhua Supermarket and Deutsche 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 Deutsche Bank Aktiengesellschaft are associated (or correlated) with Lianhua Supermarket. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lianhua Supermarket has no effect on the direction of Deutsche Bank i.e., Deutsche Bank and Lianhua Supermarket go up and down completely randomly.
Pair Corralation between Deutsche Bank and Lianhua Supermarket
Assuming the 90 days trading horizon Deutsche Bank is expected to generate 1.36 times less return on investment than Lianhua Supermarket. But when comparing it to its historical volatility, Deutsche Bank Aktiengesellschaft is 4.55 times less risky than Lianhua Supermarket. It trades about 0.25 of its potential returns per unit of risk. Lianhua Supermarket Holdings is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 2.35 in Lianhua Supermarket Holdings on December 23, 2024 and sell it today you would earn a total of 0.50 from holding Lianhua Supermarket Holdings or generate 21.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Bank Aktiengesellscha vs. Lianhua Supermarket Holdings
Performance |
Timeline |
Deutsche Bank Aktien |
Lianhua Supermarket |
Deutsche Bank and Lianhua Supermarket Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Bank and Lianhua Supermarket
The main advantage of trading using opposite Deutsche Bank and Lianhua Supermarket positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Bank position performs unexpectedly, Lianhua Supermarket 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 Lianhua Supermarket will offset losses from the drop in Lianhua Supermarket's long position.Deutsche Bank vs. BOSTON BEER A | Deutsche Bank vs. SHELF DRILLING LTD | Deutsche Bank vs. MICRONIC MYDATA | Deutsche Bank vs. DATA MODUL |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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