Correlation Between First Mid and First Foundation
Can any of the company-specific risk be diversified away by investing in both First Mid and First Foundation 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 First Mid and First Foundation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Mid Illinois and First Foundation, you can compare the effects of market volatilities on First Mid and First Foundation 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 First Mid with a short position of First Foundation. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Mid and First Foundation.
Diversification Opportunities for First Mid and First Foundation
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between First and First is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding First Mid Illinois and First Foundation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Foundation and First Mid 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 First Mid Illinois are associated (or correlated) with First Foundation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Foundation has no effect on the direction of First Mid i.e., First Mid and First Foundation go up and down completely randomly.
Pair Corralation between First Mid and First Foundation
Given the investment horizon of 90 days First Mid Illinois is expected to generate 0.48 times more return on investment than First Foundation. However, First Mid Illinois is 2.07 times less risky than First Foundation. It trades about -0.03 of its potential returns per unit of risk. First Foundation is currently generating about -0.09 per unit of risk. If you would invest 3,676 in First Mid Illinois on December 27, 2024 and sell it today you would lose (109.00) from holding First Mid Illinois or give up 2.97% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
First Mid Illinois vs. First Foundation
Performance |
Timeline |
First Mid Illinois |
First Foundation |
First Mid and First Foundation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Mid and First Foundation
The main advantage of trading using opposite First Mid and First Foundation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Mid position performs unexpectedly, First Foundation 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 First Foundation will offset losses from the drop in First Foundation's long position.First Mid vs. Finward Bancorp | First Mid vs. Great Southern Bancorp | First Mid vs. Franklin Financial Services | First Mid vs. Community West Bancshares |
First Foundation vs. Veritex Holdings | First Foundation vs. ConnectOne Bancorp | First Foundation vs. The First Bancshares, | First Foundation vs. First Mid Illinois |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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