Correlation Between Deutsche Bank and Lewis Clark
Can any of the company-specific risk be diversified away by investing in both Deutsche Bank and Lewis Clark 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 Lewis Clark into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Deutsche Bank AG and Lewis Clark Bancorp, you can compare the effects of market volatilities on Deutsche Bank and Lewis Clark 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 Lewis Clark. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Bank and Lewis Clark.
Diversification Opportunities for Deutsche Bank and Lewis Clark
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Deutsche and Lewis is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Bank AG and Lewis Clark Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lewis Clark Bancorp 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 AG are associated (or correlated) with Lewis Clark. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lewis Clark Bancorp has no effect on the direction of Deutsche Bank i.e., Deutsche Bank and Lewis Clark go up and down completely randomly.
Pair Corralation between Deutsche Bank and Lewis Clark
Allowing for the 90-day total investment horizon Deutsche Bank AG is expected to generate 2.05 times more return on investment than Lewis Clark. However, Deutsche Bank is 2.05 times more volatile than Lewis Clark Bancorp. It trades about 0.03 of its potential returns per unit of risk. Lewis Clark Bancorp is currently generating about 0.0 per unit of risk. If you would invest 1,680 in Deutsche Bank AG on September 22, 2024 and sell it today you would earn a total of 13.00 from holding Deutsche Bank AG or generate 0.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Bank AG vs. Lewis Clark Bancorp
Performance |
Timeline |
Deutsche Bank AG |
Lewis Clark Bancorp |
Deutsche Bank and Lewis Clark Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Bank and Lewis Clark
The main advantage of trading using opposite Deutsche Bank and Lewis Clark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Bank position performs unexpectedly, Lewis Clark 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 Lewis Clark will offset losses from the drop in Lewis Clark's long position.Deutsche Bank vs. Banco Bradesco SA | Deutsche Bank vs. Itau Unibanco Banco | Deutsche Bank vs. Banco Santander Brasil | Deutsche Bank vs. Western Alliance Bancorporation |
Lewis Clark vs. Banco Bradesco SA | Lewis Clark vs. Itau Unibanco Banco | Lewis Clark vs. Lloyds Banking Group | Lewis Clark vs. Deutsche Bank AG |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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