Fb Financial Corp Stock Market Value
| FBK Stock | USD 57.25 0.66 1.17% |
| Symbol | FBK |
FB Financial Corp Price To Book Ratio
Is Regional Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of FB Financial. If investors know FBK will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about FB Financial listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.47) | Dividend Share 0.66 | Earnings Share 2.3 | Revenue Per Share 9.328 | Quarterly Revenue Growth (0.17) |
The market value of FB Financial Corp is measured differently than its book value, which is the value of FBK that is recorded on the company's balance sheet. Investors also form their own opinion of FB Financial's value that differs from its market value or its book value, called intrinsic value, which is FB Financial's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because FB Financial's market value can be influenced by many factors that don't directly affect FB Financial's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between FB Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if FB Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FB Financial's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
FB Financial 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to FB Financial's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of FB Financial.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in FB Financial on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding FB Financial Corp or generate 0.0% return on investment in FB Financial over 30 days. FB Financial is related to or competes with Home Bancorp, First Business, LINKBANCORP, Great Southern, First Mid, Finwise Bancorp, and Enterprise Financial. FB Financial Corporation operates as a bank holding company for FirstBank that provides a suite of commercial and consum... More
FB Financial Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure FB Financial's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess FB Financial Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.63 | |||
| Information Ratio | 0.0912 | |||
| Maximum Drawdown | 19.12 | |||
| Value At Risk | (2.57) | |||
| Potential Upside | 4.93 |
FB Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FB Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FB Financial's standard deviation. In reality, there are many statistical measures that can use FB Financial historical prices to predict the future FB Financial's volatility.| Risk Adjusted Performance | 0.1134 | |||
| Jensen Alpha | 0.0422 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.1546 | |||
| Treynor Ratio | 0.1362 |
FB Financial Corp Backtested Returns
FB Financial appears to be very steady, given 3 months investment horizon. FB Financial Corp retains Efficiency (Sharpe Ratio) of 0.12, which denotes the company had a 0.12% return per unit of price deviation over the last 3 months. We have found twenty-nine technical indicators for FB Financial, which you can use to evaluate the volatility of the entity. Please utilize FB Financial's Downside Deviation of 1.63, standard deviation of 2.77, and Market Risk Adjusted Performance of 0.1462 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, FB Financial holds a performance score of 9. The firm owns a Beta (Systematic Risk) of 2.74, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, FB Financial will likely underperform. Please check FB Financial's sortino ratio, semi variance, and the relationship between the standard deviation and value at risk , to make a quick decision on whether FB Financial's current price history will revert.
Auto-correlation | 0.06 |
Virtually no predictability
FB Financial Corp has virtually no predictability. Overlapping area represents the amount of predictability between FB Financial time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of FB Financial Corp price movement. The serial correlation of 0.06 indicates that barely 6.0% of current FB Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 1.21 |
FB Financial Corp lagged returns against current returns
Autocorrelation, which is FB Financial stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting FB Financial's stock expected returns. We can calculate the autocorrelation of FB Financial returns to help us make a trade decision. For example, suppose you find that FB Financial has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
FB Financial regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If FB Financial stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FB Financial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FB Financial stock over time.
Current vs Lagged Prices |
| Timeline |
FB Financial Lagged Returns
When evaluating FB Financial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FB Financial stock have on its future price. FB Financial autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, FB Financial autocorrelation shows the relationship between FB Financial stock current value and its past values and can show if there is a momentum factor associated with investing in FB Financial Corp.
Regressed Prices |
| Timeline |
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FB Financial technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.