Correlation Between Bank of Utica and United Tennessee
Can any of the company-specific risk be diversified away by investing in both Bank of Utica and United Tennessee 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 Bank of Utica and United Tennessee into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of Utica and United Tennessee Bankshares, you can compare the effects of market volatilities on Bank of Utica and United Tennessee 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 Bank of Utica with a short position of United Tennessee. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Utica and United Tennessee.
Diversification Opportunities for Bank of Utica and United Tennessee
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and United is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Utica and United Tennessee Bankshares in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Tennessee Ban and Bank of Utica 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 Bank of Utica are associated (or correlated) with United Tennessee. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Tennessee Ban has no effect on the direction of Bank of Utica i.e., Bank of Utica and United Tennessee go up and down completely randomly.
Pair Corralation between Bank of Utica and United Tennessee
Given the investment horizon of 90 days Bank of Utica is expected to generate 2.01 times more return on investment than United Tennessee. However, Bank of Utica is 2.01 times more volatile than United Tennessee Bankshares. It trades about 0.04 of its potential returns per unit of risk. United Tennessee Bankshares is currently generating about -0.1 per unit of risk. If you would invest 40,200 in Bank of Utica on September 2, 2024 and sell it today you would earn a total of 8,600 from holding Bank of Utica or generate 21.39% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 10.94% |
| Values | Daily Returns |
Bank of Utica vs. United Tennessee Bankshares
Performance |
| Timeline |
| Bank of Utica |
| United Tennessee Ban |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Bank of Utica and United Tennessee Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of Utica and United Tennessee
The main advantage of trading using opposite Bank of Utica and United Tennessee positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Utica position performs unexpectedly, United Tennessee 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 United Tennessee will offset losses from the drop in United Tennessee's long position.| Bank of Utica vs. CCSB Financial Corp | Bank of Utica vs. First Community Financial | Bank of Utica vs. BEO Bancorp | Bank of Utica vs. First Community |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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