Smartfinancial, Stock Market Value
| SMBK Stock | USD 31.68 0.61 1.96% |
| Symbol | SmartFinancial, |
SmartFinancial, 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 SmartFinancial,. If investors know SmartFinancial, 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 SmartFinancial, 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 0.583 | Dividend Share 0.32 | Earnings Share 2.14 | Revenue Per Share | Quarterly Revenue Growth 0.191 |
The market value of SmartFinancial, is measured differently than its book value, which is the value of SmartFinancial, that is recorded on the company's balance sheet. Investors also form their own opinion of SmartFinancial,'s value that differs from its market value or its book value, called intrinsic value, which is SmartFinancial,'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 SmartFinancial,'s market value can be influenced by many factors that don't directly affect SmartFinancial,'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 SmartFinancial,'s value and its price as these two are different measures arrived at by different means. Investors typically determine if SmartFinancial, is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SmartFinancial,'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.
SmartFinancial, '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 SmartFinancial,'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 SmartFinancial,.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in SmartFinancial, on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding SmartFinancial, or generate 0.0% return on investment in SmartFinancial, over 90 days. SmartFinancial, is related to or competes with Home Federal, Lake Shore, Community West, First Financial, First Northwest, First Capital, and Investar Holding. SmartFinancial, Inc. operates as the bank holding company for SmartBank that provides various financial services to indi... More
SmartFinancial, 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 SmartFinancial,'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 SmartFinancial, upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 12.01 | |||
| Value At Risk | (2.68) | |||
| Potential Upside | 2.36 |
SmartFinancial, Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SmartFinancial,'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SmartFinancial,'s standard deviation. In reality, there are many statistical measures that can use SmartFinancial, historical prices to predict the future SmartFinancial,'s volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | 0.1048 | |||
| Treynor Ratio | (0.20) |
SmartFinancial, Backtested Returns
SmartFinancial, owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0502, which indicates the firm had a -0.0502 % return per unit of risk over the last 3 months. SmartFinancial, exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SmartFinancial,'s Risk Adjusted Performance of (0.08), variance of 3.34, and Coefficient Of Variation of (946.26) to confirm the risk estimate we provide. The entity has a beta of 1.04, which indicates a somewhat significant risk relative to the market. SmartFinancial, returns are very sensitive to returns on the market. As the market goes up or down, SmartFinancial, is expected to follow. At this point, SmartFinancial, has a negative expected return of -0.0956%. Please make sure to validate SmartFinancial,'s potential upside, and the relationship between the jensen alpha and daily balance of power , to decide if SmartFinancial, performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.76 |
Almost perfect reverse predictability
SmartFinancial, has almost perfect reverse predictability. Overlapping area represents the amount of predictability between SmartFinancial, time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SmartFinancial, price movement. The serial correlation of -0.76 indicates that around 76.0% of current SmartFinancial, price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.76 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 2.22 |
SmartFinancial, lagged returns against current returns
Autocorrelation, which is SmartFinancial, 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 SmartFinancial,'s stock expected returns. We can calculate the autocorrelation of SmartFinancial, returns to help us make a trade decision. For example, suppose you find that SmartFinancial, 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 |
SmartFinancial, 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 SmartFinancial, stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SmartFinancial, stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SmartFinancial, stock over time.
Current vs Lagged Prices |
| Timeline |
SmartFinancial, Lagged Returns
When evaluating SmartFinancial,'s market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SmartFinancial, stock have on its future price. SmartFinancial, 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, SmartFinancial, autocorrelation shows the relationship between SmartFinancial, stock current value and its past values and can show if there is a momentum factor associated with investing in SmartFinancial,.
Regressed Prices |
| Timeline |
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SmartFinancial, 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.