Correlation Between FNB Corp and First Bancshares,
Can any of the company-specific risk be diversified away by investing in both FNB Corp and First Bancshares, 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 FNB Corp and First Bancshares, into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FNB Corp and The First Bancshares,, you can compare the effects of market volatilities on FNB Corp and First Bancshares, 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 FNB Corp with a short position of First Bancshares,. Check out your portfolio center. Please also check ongoing floating volatility patterns of FNB Corp and First Bancshares,.
Diversification Opportunities for FNB Corp and First Bancshares,
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between FNB and First is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding FNB Corp and The First Bancshares, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Bancshares, and FNB Corp 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 FNB Corp are associated (or correlated) with First Bancshares,. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Bancshares, has no effect on the direction of FNB Corp i.e., FNB Corp and First Bancshares, go up and down completely randomly.
Pair Corralation between FNB Corp and First Bancshares,
Considering the 90-day investment horizon FNB Corp is expected to generate 0.9 times more return on investment than First Bancshares,. However, FNB Corp is 1.11 times less risky than First Bancshares,. It trades about 0.04 of its potential returns per unit of risk. The First Bancshares, is currently generating about 0.03 per unit of risk. If you would invest 1,205 in FNB Corp on September 14, 2024 and sell it today you would earn a total of 379.00 from holding FNB Corp or generate 31.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
FNB Corp vs. The First Bancshares,
Performance |
Timeline |
FNB Corp |
First Bancshares, |
FNB Corp and First Bancshares, Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FNB Corp and First Bancshares,
The main advantage of trading using opposite FNB Corp and First Bancshares, positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FNB Corp position performs unexpectedly, First Bancshares, 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 Bancshares, will offset losses from the drop in First Bancshares,'s long position.FNB Corp vs. ST Bancorp | FNB Corp vs. CrossFirst Bankshares | FNB Corp vs. Enterprise Financial Services | FNB Corp vs. The First Bancshares, |
First Bancshares, vs. First Northwest Bancorp | First Bancshares, vs. Community West Bancshares | First Bancshares, vs. First Financial Northwest | First Bancshares, vs. Great Southern Bancorp |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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