Correlation Between German American and Chorus Aviation
Can any of the company-specific risk be diversified away by investing in both German American and Chorus Aviation 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 German American and Chorus Aviation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between German American Bancorp and Chorus Aviation, you can compare the effects of market volatilities on German American and Chorus Aviation 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 German American with a short position of Chorus Aviation. Check out your portfolio center. Please also check ongoing floating volatility patterns of German American and Chorus Aviation.
Diversification Opportunities for German American and Chorus Aviation
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between German and Chorus is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding German American Bancorp and Chorus Aviation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chorus Aviation and German American 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 German American Bancorp are associated (or correlated) with Chorus Aviation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chorus Aviation has no effect on the direction of German American i.e., German American and Chorus Aviation go up and down completely randomly.
Pair Corralation between German American and Chorus Aviation
Given the investment horizon of 90 days German American is expected to generate 1.04 times less return on investment than Chorus Aviation. But when comparing it to its historical volatility, German American Bancorp is 1.07 times less risky than Chorus Aviation. It trades about 0.15 of its potential returns per unit of risk. Chorus Aviation is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 164.00 in Chorus Aviation on September 1, 2024 and sell it today you would earn a total of 73.00 from holding Chorus Aviation or generate 44.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.21% |
Values | Daily Returns |
German American Bancorp vs. Chorus Aviation
Performance |
Timeline |
German American Bancorp |
Chorus Aviation |
German American and Chorus Aviation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with German American and Chorus Aviation
The main advantage of trading using opposite German American and Chorus Aviation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if German American position performs unexpectedly, Chorus Aviation 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 Chorus Aviation will offset losses from the drop in Chorus Aviation's long position.German American vs. Lakeland Financial | German American vs. Great Southern Bancorp | German American vs. First Merchants | German American vs. First Financial |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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