Correlation Between Bank of Utica and BEO Bancorp
Can any of the company-specific risk be diversified away by investing in both Bank of Utica and BEO 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 Bank of Utica and BEO Bancorp 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 BEO Bancorp, you can compare the effects of market volatilities on Bank of Utica and BEO 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 Bank of Utica with a short position of BEO Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Utica and BEO Bancorp.
Diversification Opportunities for Bank of Utica and BEO Bancorp
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and BEO is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Utica and BEO Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BEO Bancorp 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 BEO Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BEO Bancorp has no effect on the direction of Bank of Utica i.e., Bank of Utica and BEO Bancorp go up and down completely randomly.
Pair Corralation between Bank of Utica and BEO Bancorp
Given the investment horizon of 90 days Bank of Utica is expected to under-perform the BEO Bancorp. In addition to that, Bank of Utica is 1.8 times more volatile than BEO Bancorp. It trades about -0.01 of its total potential returns per unit of risk. BEO Bancorp is currently generating about 0.08 per unit of volatility. If you would invest 7,000 in BEO Bancorp on August 30, 2024 and sell it today you would earn a total of 650.00 from holding BEO Bancorp or generate 9.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Utica vs. BEO Bancorp
Performance |
Timeline |
Bank of Utica |
BEO Bancorp |
Bank of Utica and BEO Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Utica and BEO Bancorp
The main advantage of trading using opposite Bank of Utica and BEO Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Utica position performs unexpectedly, BEO 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 BEO Bancorp will offset losses from the drop in BEO Bancorp's long position.The idea behind Bank of Utica and BEO Bancorp pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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