Correlation Between First Guaranty and Metropolitan Bank
Can any of the company-specific risk be diversified away by investing in both First Guaranty and Metropolitan 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 First Guaranty and Metropolitan Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Guaranty Bancshares and Metropolitan Bank Holding, you can compare the effects of market volatilities on First Guaranty and Metropolitan 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 First Guaranty with a short position of Metropolitan Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Guaranty and Metropolitan Bank.
Diversification Opportunities for First Guaranty and Metropolitan Bank
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between First and Metropolitan is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding First Guaranty Bancshares and Metropolitan Bank Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metropolitan Bank Holding and First Guaranty 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 Guaranty Bancshares are associated (or correlated) with Metropolitan Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metropolitan Bank Holding has no effect on the direction of First Guaranty i.e., First Guaranty and Metropolitan Bank go up and down completely randomly.
Pair Corralation between First Guaranty and Metropolitan Bank
Assuming the 90 days horizon First Guaranty Bancshares is expected to generate 1.23 times more return on investment than Metropolitan Bank. However, First Guaranty is 1.23 times more volatile than Metropolitan Bank Holding. It trades about -0.17 of its potential returns per unit of risk. Metropolitan Bank Holding is currently generating about -0.23 per unit of risk. If you would invest 2,123 in First Guaranty Bancshares on November 29, 2024 and sell it today you would lose (176.00) from holding First Guaranty Bancshares or give up 8.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
First Guaranty Bancshares vs. Metropolitan Bank Holding
Performance |
Timeline |
First Guaranty Bancshares |
Metropolitan Bank Holding |
First Guaranty and Metropolitan Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Guaranty and Metropolitan Bank
The main advantage of trading using opposite First Guaranty and Metropolitan Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Guaranty position performs unexpectedly, Metropolitan 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 Metropolitan Bank will offset losses from the drop in Metropolitan Bank's long position.First Guaranty vs. CNB Financial | First Guaranty vs. First Citizens BancShares | First Guaranty vs. Texas Capital Bancshares | First Guaranty vs. Merchants Bancorp |
Metropolitan Bank vs. Customers Bancorp | Metropolitan Bank vs. BayCom Corp | Metropolitan Bank vs. Capital Bancorp | Metropolitan Bank vs. Investar Holding Corp |
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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