Correlation Between WesBanco and First Financial
Can any of the company-specific risk be diversified away by investing in both WesBanco and First Financial 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 WesBanco and First Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WesBanco and First Financial Bankshares, you can compare the effects of market volatilities on WesBanco and First Financial 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 WesBanco with a short position of First Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of WesBanco and First Financial.
Diversification Opportunities for WesBanco and First Financial
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between WesBanco and First is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding WesBanco and First Financial Bankshares in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Financial Bank and WesBanco 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 WesBanco are associated (or correlated) with First Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Financial Bank has no effect on the direction of WesBanco i.e., WesBanco and First Financial go up and down completely randomly.
Pair Corralation between WesBanco and First Financial
Assuming the 90 days horizon WesBanco is expected to generate 0.2 times more return on investment than First Financial. However, WesBanco is 5.11 times less risky than First Financial. It trades about 0.1 of its potential returns per unit of risk. First Financial Bankshares is currently generating about 0.0 per unit of risk. If you would invest 2,479 in WesBanco on December 29, 2024 and sell it today you would earn a total of 43.00 from holding WesBanco or generate 1.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
WesBanco vs. First Financial Bankshares
Performance |
Timeline |
WesBanco |
First Financial Bank |
WesBanco and First Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WesBanco and First Financial
The main advantage of trading using opposite WesBanco and First Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WesBanco position performs unexpectedly, First Financial 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 Financial will offset losses from the drop in First Financial's long position.WesBanco vs. Allegion PLC | WesBanco vs. Life Time Group | WesBanco vs. Aldel Financial II | WesBanco vs. United Parks Resorts |
First Financial vs. BOK Financial | First Financial vs. Auburn National Bancorporation | First Financial vs. Great Southern Bancorp | First Financial vs. First Guaranty Bancshares |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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