Meta Financial Group Stock Market Value
| CASH Stock | USD 89.37 0.92 1.02% |
| Symbol | Meta |
Is there potential for Regional Banks market expansion? Will Meta introduce new products? Factors like these will boost the valuation of Meta Financial. Projected growth potential of Meta fundamentally drives upward valuation adjustments. Understanding fair value requires weighing current performance against future potential. All the valuation information about Meta 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 0.279 | Dividend Share 0.2 | Earnings Share 8.3 | Revenue Per Share | Quarterly Revenue Growth 0.036 |
Investors evaluate Meta Financial Group using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Meta Financial's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Meta Financial's market price to deviate significantly from intrinsic value.
It's important to distinguish between Meta Financial's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Meta Financial should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Meta Financial's market price signifies the transaction level at which participants voluntarily complete trades.
Meta 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 Meta 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 Meta Financial.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in Meta Financial on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding Meta Financial Group or generate 0.0% return on investment in Meta Financial over 90 days. Meta Financial is related to or competes with AmeriServ Financial, Broadway Financial, Home Federal, NSTS Bancorp, Catalyst Bancorp, First Seacoast, and Tectonic Financial. Pathward Financial, Inc. operates as the holding company for Pathward, National Association that provides various bankin... More
Meta 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 Meta 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 Meta Financial Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.31 | |||
| Information Ratio | 0.1703 | |||
| Maximum Drawdown | 7.97 | |||
| Value At Risk | (1.75) | |||
| Potential Upside | 3.8 |
Meta Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Meta Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Meta Financial's standard deviation. In reality, there are many statistical measures that can use Meta Financial historical prices to predict the future Meta Financial's volatility.| Risk Adjusted Performance | 0.147 | |||
| Jensen Alpha | 0.3236 | |||
| Total Risk Alpha | 0.2574 | |||
| Sortino Ratio | 0.2379 | |||
| Treynor Ratio | 0.5497 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Meta Financial's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Meta Financial January 31, 2026 Technical Indicators
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| Risk Adjusted Performance | 0.147 | |||
| Market Risk Adjusted Performance | 0.5597 | |||
| Mean Deviation | 1.38 | |||
| Semi Deviation | 1.01 | |||
| Downside Deviation | 1.31 | |||
| Coefficient Of Variation | 512.99 | |||
| Standard Deviation | 1.82 | |||
| Variance | 3.33 | |||
| Information Ratio | 0.1703 | |||
| Jensen Alpha | 0.3236 | |||
| Total Risk Alpha | 0.2574 | |||
| Sortino Ratio | 0.2379 | |||
| Treynor Ratio | 0.5497 | |||
| Maximum Drawdown | 7.97 | |||
| Value At Risk | (1.75) | |||
| Potential Upside | 3.8 | |||
| Downside Variance | 1.71 | |||
| Semi Variance | 1.01 | |||
| Expected Short fall | (1.66) | |||
| Skewness | 1.14 | |||
| Kurtosis | 2.28 |
Meta Financial Group Backtested Returns
Meta Financial appears to be very steady, given 3 months investment horizon. Meta Financial Group has Sharpe Ratio of 0.26, which conveys that the firm had a 0.26 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Meta Financial, which you can use to evaluate the volatility of the firm. Please exercise Meta Financial's Risk Adjusted Performance of 0.147, downside deviation of 1.31, and Mean Deviation of 1.38 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Meta Financial holds a performance score of 20. The company secures a Beta (Market Risk) of 0.63, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Meta Financial's returns are expected to increase less than the market. However, during the bear market, the loss of holding Meta Financial is expected to be smaller as well. Please check Meta Financial's maximum drawdown, accumulation distribution, relative strength index, as well as the relationship between the semi variance and day typical price , to make a quick decision on whether Meta Financial's current price movements will revert.
Auto-correlation | 0.74 |
Good predictability
Meta Financial Group has good predictability. Overlapping area represents the amount of predictability between Meta Financial time series from 2nd of November 2025 to 17th of December 2025 and 17th of December 2025 to 31st of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Meta Financial Group price movement. The serial correlation of 0.74 indicates that around 74.0% of current Meta Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 33.7 |
Currently Active Assets on Macroaxis
When determining whether Meta Financial Group offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Meta Financial's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Meta Financial Group Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Meta Financial Group Stock:Check out Meta Financial Correlation, Meta Financial Volatility and Meta Financial Performance module to complement your research on Meta Financial. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Meta 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.