Correlation Between Southern Missouri and National Bank
Can any of the company-specific risk be diversified away by investing in both Southern Missouri and National Bank 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 Southern Missouri and National Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Southern Missouri Bancorp and National Bank Holdings, you can compare the effects of market volatilities on Southern Missouri and National Bank 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 Southern Missouri with a short position of National Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Southern Missouri and National Bank.
Diversification Opportunities for Southern Missouri and National Bank
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Southern and National is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Southern Missouri Bancorp and National Bank Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Bank Holdings and Southern Missouri 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 Southern Missouri Bancorp are associated (or correlated) with National Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Bank Holdings has no effect on the direction of Southern Missouri i.e., Southern Missouri and National Bank go up and down completely randomly.
Pair Corralation between Southern Missouri and National Bank
Given the investment horizon of 90 days Southern Missouri Bancorp is expected to generate 1.02 times more return on investment than National Bank. However, Southern Missouri is 1.02 times more volatile than National Bank Holdings. It trades about 0.11 of its potential returns per unit of risk. National Bank Holdings is currently generating about 0.08 per unit of risk. If you would invest 5,518 in Southern Missouri Bancorp on September 14, 2024 and sell it today you would earn a total of 939.00 from holding Southern Missouri Bancorp or generate 17.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Southern Missouri Bancorp vs. National Bank Holdings
Performance |
Timeline |
Southern Missouri Bancorp |
National Bank Holdings |
Southern Missouri and National Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Southern Missouri and National Bank
The main advantage of trading using opposite Southern Missouri and National Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Southern Missouri position performs unexpectedly, National Bank 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 National Bank will offset losses from the drop in National Bank's long position.Southern Missouri vs. Commerzbank AG | Southern Missouri vs. Investar Holding Corp | Southern Missouri vs. Colony Bankcorp | Southern Missouri vs. Western New England |
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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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