Correlation Between German American and Finward Bancorp
Can any of the company-specific risk be diversified away by investing in both German American and Finward Bancorp 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 Finward Bancorp 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 Finward Bancorp, you can compare the effects of market volatilities on German American and Finward Bancorp 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 Finward Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of German American and Finward Bancorp.
Diversification Opportunities for German American and Finward Bancorp
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between German and Finward is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding German American Bancorp and Finward Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Finward Bancorp 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 Finward Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Finward Bancorp has no effect on the direction of German American i.e., German American and Finward Bancorp go up and down completely randomly.
Pair Corralation between German American and Finward Bancorp
Given the investment horizon of 90 days German American Bancorp is expected to generate 1.22 times more return on investment than Finward Bancorp. However, German American is 1.22 times more volatile than Finward Bancorp. It trades about 0.11 of its potential returns per unit of risk. Finward Bancorp is currently generating about 0.13 per unit of risk. If you would invest 3,927 in German American Bancorp on September 3, 2024 and sell it today you would earn a total of 571.00 from holding German American Bancorp or generate 14.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
German American Bancorp vs. Finward Bancorp
Performance |
Timeline |
German American Bancorp |
Finward Bancorp |
German American and Finward Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with German American and Finward Bancorp
The main advantage of trading using opposite German American and Finward Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if German American position performs unexpectedly, Finward Bancorp 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 Finward Bancorp will offset losses from the drop in Finward Bancorp'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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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