Meta Financial Stock Forecast - 8 Period Moving Average

CASH Stock  USD 80.78  1.26  1.58%   
The 8 Period Moving Average forecasted value of Meta Financial Group on the next trading day is expected to be 80.06 with a mean absolute deviation of 2.41 and the sum of the absolute errors of 127.78. Meta Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Meta Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
As of now, Meta Financial's Payables Turnover is decreasing as compared to previous years. The Meta Financial's current Receivables Turnover is estimated to increase to 29.55, while Inventory Turnover is projected to decrease to (0.62). . The Meta Financial's current Net Income Applicable To Common Shares is estimated to increase to about 185.7 M, while Common Stock Shares Outstanding is projected to decrease to under 17 M.
An 8-period moving average forecast model for Meta Financial is based on an artificially constructed time series of Meta Financial daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Meta Financial 8 Period Moving Average Price Forecast For the 23rd of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Meta Financial Group on the next trading day is expected to be 80.06 with a mean absolute deviation of 2.41, mean absolute percentage error of 10.57, and the sum of the absolute errors of 127.78.
Please note that although there have been many attempts to predict Meta Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Meta Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Meta Financial Stock Forecast Pattern

Backtest Meta FinancialMeta Financial Price PredictionBuy or Sell Advice 

Meta Financial Forecasted Value

In the context of forecasting Meta Financial's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Meta Financial's downside and upside margins for the forecasting period are 77.86 and 82.26, respectively. We have considered Meta Financial's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
80.78
80.06
Expected Value
82.26
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Meta Financial stock data series using in forecasting. Note that when a statistical model is used to represent Meta Financial stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria105.7652
BiasArithmetic mean of the errors -1.093
MADMean absolute deviation2.4109
MAPEMean absolute percentage error0.0329
SAESum of the absolute errors127.7762
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Meta Financial Group 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Meta Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Meta Financial Group. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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.
Hype
Prediction
LowEstimatedHigh
78.5880.7882.98
Details
Intrinsic
Valuation
LowRealHigh
62.3464.5488.86
Details
Bollinger
Band Projection (param)
LowMiddleHigh
66.5875.9585.31
Details
3 Analysts
Consensus
LowTargetHigh
56.4262.0068.82
Details

Other Forecasting Options for Meta Financial

For every potential investor in Meta, whether a beginner or expert, Meta Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Meta Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Meta. Basic forecasting techniques help filter out the noise by identifying Meta Financial's price trends.

View Meta Financial Related Equities

 Risk & Return  Correlation

Meta Financial Group Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Meta Financial's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Meta Financial's current price.

Meta Financial Market Strength Events

Market strength indicators help investors to evaluate how Meta Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Meta Financial shares will generate the highest return on investment. By undertsting and applying Meta Financial stock market strength indicators, traders can identify Meta Financial Group entry and exit signals to maximize returns.

Meta Financial Risk Indicators

The analysis of Meta Financial's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Meta Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting meta stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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 Historical Fundamental Analysis of Meta Financial to cross-verify your projections.
You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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 Meta Financial. If investors know Meta 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 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
(0.01)
Earnings Share
6.62
Revenue Per Share
28.289
Quarterly Revenue Growth
0.124
Return On Assets
0.0225
The market value of Meta Financial Group is measured differently than its book value, which is the value of Meta that is recorded on the company's balance sheet. Investors also form their own opinion of Meta Financial's value that differs from its market value or its book value, called intrinsic value, which is Meta 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 Meta Financial's market value can be influenced by many factors that don't directly affect Meta 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 Meta Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Meta Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Meta 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.