Correlation Between Auburn National and Great Southern
Can any of the company-specific risk be diversified away by investing in both Auburn National and Great Southern 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 Auburn National and Great Southern into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Auburn National Bancorporation and Great Southern Bancorp, you can compare the effects of market volatilities on Auburn National and Great Southern 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 Auburn National with a short position of Great Southern. Check out your portfolio center. Please also check ongoing floating volatility patterns of Auburn National and Great Southern.
Diversification Opportunities for Auburn National and Great Southern
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Auburn and Great is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Auburn National Bancorp. and Great Southern Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Great Southern Bancorp and Auburn National 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 Auburn National Bancorporation are associated (or correlated) with Great Southern. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Great Southern Bancorp has no effect on the direction of Auburn National i.e., Auburn National and Great Southern go up and down completely randomly.
Pair Corralation between Auburn National and Great Southern
Given the investment horizon of 90 days Auburn National Bancorporation is expected to generate 1.2 times more return on investment than Great Southern. However, Auburn National is 1.2 times more volatile than Great Southern Bancorp. It trades about -0.04 of its potential returns per unit of risk. Great Southern Bancorp is currently generating about -0.08 per unit of risk. If you would invest 2,274 in Auburn National Bancorporation on November 29, 2024 and sell it today you would lose (115.00) from holding Auburn National Bancorporation or give up 5.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Auburn National Bancorp. vs. Great Southern Bancorp
Performance |
Timeline |
Auburn National Banc |
Great Southern Bancorp |
Auburn National and Great Southern Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Auburn National and Great Southern
The main advantage of trading using opposite Auburn National and Great Southern positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Auburn National position performs unexpectedly, Great Southern 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 Great Southern will offset losses from the drop in Great Southern's long position.Auburn National vs. Home Federal Bancorp | Auburn National vs. LINKBANCORP | Auburn National vs. Affinity Bancshares | Auburn National vs. Southern California Bancorp |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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