Correlation Between Eastern Michigan and Bank of Utica
Can any of the company-specific risk be diversified away by investing in both Eastern Michigan and Bank of Utica 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 Eastern Michigan and Bank of Utica into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eastern Michigan Financial and Bank of Utica, you can compare the effects of market volatilities on Eastern Michigan and Bank of Utica 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 Eastern Michigan with a short position of Bank of Utica. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eastern Michigan and Bank of Utica.
Diversification Opportunities for Eastern Michigan and Bank of Utica
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Eastern and Bank is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Eastern Michigan Financial and Bank of Utica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of Utica and Eastern Michigan 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 Eastern Michigan Financial are associated (or correlated) with Bank of Utica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of Utica has no effect on the direction of Eastern Michigan i.e., Eastern Michigan and Bank of Utica go up and down completely randomly.
Pair Corralation between Eastern Michigan and Bank of Utica
Given the investment horizon of 90 days Eastern Michigan is expected to generate 2.95 times less return on investment than Bank of Utica. In addition to that, Eastern Michigan is 1.23 times more volatile than Bank of Utica. It trades about 0.09 of its total potential returns per unit of risk. Bank of Utica is currently generating about 0.33 per unit of volatility. If you would invest 45,000 in Bank of Utica on August 29, 2024 and sell it today you would earn a total of 3,800 from holding Bank of Utica or generate 8.44% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Eastern Michigan Financial vs. Bank of Utica
Performance |
| Timeline |
| Eastern Michigan Fin |
| Bank of Utica |
Eastern Michigan and Bank of Utica Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Eastern Michigan and Bank of Utica
The main advantage of trading using opposite Eastern Michigan and Bank of Utica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eastern Michigan position performs unexpectedly, Bank of Utica 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 Bank of Utica will offset losses from the drop in Bank of Utica's long position.| Eastern Michigan vs. Commercial National Financial | Eastern Michigan vs. Mifflinburg Bancorp | Eastern Michigan vs. Apollo Bancorp | Eastern Michigan vs. Community Bankers |
| 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 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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