Correlation Between AMB Financial and Mercantile Bank
Can any of the company-specific risk be diversified away by investing in both AMB Financial and Mercantile 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 AMB Financial and Mercantile Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AMB Financial Corp and Mercantile Bank, you can compare the effects of market volatilities on AMB Financial and Mercantile 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 AMB Financial with a short position of Mercantile Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of AMB Financial and Mercantile Bank.
Diversification Opportunities for AMB Financial and Mercantile Bank
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between AMB and Mercantile is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding AMB Financial Corp and Mercantile Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mercantile Bank and AMB Financial 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 AMB Financial Corp are associated (or correlated) with Mercantile Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mercantile Bank has no effect on the direction of AMB Financial i.e., AMB Financial and Mercantile Bank go up and down completely randomly.
Pair Corralation between AMB Financial and Mercantile Bank
Given the investment horizon of 90 days AMB Financial Corp is expected to under-perform the Mercantile Bank. But the pink sheet apears to be less risky and, when comparing its historical volatility, AMB Financial Corp is 1.54 times less risky than Mercantile Bank. The pink sheet trades about -0.02 of its potential returns per unit of risk. The Mercantile Bank is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 3,389 in Mercantile Bank on October 7, 2024 and sell it today you would earn a total of 1,027 from holding Mercantile Bank or generate 30.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 26.41% |
Values | Daily Returns |
AMB Financial Corp vs. Mercantile Bank
Performance |
Timeline |
AMB Financial Corp |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Mercantile Bank |
AMB Financial and Mercantile Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AMB Financial and Mercantile Bank
The main advantage of trading using opposite AMB Financial and Mercantile Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AMB Financial position performs unexpectedly, Mercantile 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 Mercantile Bank will offset losses from the drop in Mercantile Bank's long position.AMB Financial vs. First Community | AMB Financial vs. Community West Bancshares | AMB Financial vs. First Financial Northwest | AMB Financial vs. First Northwest 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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