Correlation Between Glen Burnie and Kentucky First
Can any of the company-specific risk be diversified away by investing in both Glen Burnie and Kentucky First 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 Glen Burnie and Kentucky First into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Glen Burnie Bancorp and Kentucky First Federal, you can compare the effects of market volatilities on Glen Burnie and Kentucky First 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 Glen Burnie with a short position of Kentucky First. Check out your portfolio center. Please also check ongoing floating volatility patterns of Glen Burnie and Kentucky First.
Diversification Opportunities for Glen Burnie and Kentucky First
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Glen and Kentucky is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Glen Burnie Bancorp and Kentucky First Federal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kentucky First Federal and Glen Burnie 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 Glen Burnie Bancorp are associated (or correlated) with Kentucky First. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kentucky First Federal has no effect on the direction of Glen Burnie i.e., Glen Burnie and Kentucky First go up and down completely randomly.
Pair Corralation between Glen Burnie and Kentucky First
Given the investment horizon of 90 days Glen Burnie is expected to generate 2.59 times less return on investment than Kentucky First. In addition to that, Glen Burnie is 1.56 times more volatile than Kentucky First Federal. It trades about 0.04 of its total potential returns per unit of risk. Kentucky First Federal is currently generating about 0.15 per unit of volatility. If you would invest 258.00 in Kentucky First Federal on September 22, 2024 and sell it today you would earn a total of 28.00 from holding Kentucky First Federal or generate 10.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Glen Burnie Bancorp vs. Kentucky First Federal
Performance |
Timeline |
Glen Burnie Bancorp |
Kentucky First Federal |
Glen Burnie and Kentucky First Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Glen Burnie and Kentucky First
The main advantage of trading using opposite Glen Burnie and Kentucky First positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Glen Burnie position performs unexpectedly, Kentucky First 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 Kentucky First will offset losses from the drop in Kentucky First's long position.Glen Burnie vs. First Bankers Trustshares | Glen Burnie vs. Greenville Federal Financial | Glen Burnie vs. First Ottawa Bancshares | Glen Burnie vs. Coastal Carolina Bancshares |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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