South Plains Stock Forecast - Polynomial Regression
| SPFI Stock | USD 38.85 0.17 0.44% |
The Polynomial Regression forecasted value of South Plains Financial on the next trading day is expected to be 40.11 with a mean absolute deviation of 0.94 and the sum of the absolute errors of 58.55. South Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of South Plains' historical fundamentals, such as revenue growth or operating cash flow patterns.
South |
South Plains Polynomial Regression Price Forecast For the 29th of November
Given 90 days horizon, the Polynomial Regression forecasted value of South Plains Financial on the next trading day is expected to be 40.11 with a mean absolute deviation of 0.94, mean absolute percentage error of 1.44, and the sum of the absolute errors of 58.55.Please note that although there have been many attempts to predict South 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 South Plains' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
South Plains Stock Forecast Pattern
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South Plains Forecasted Value
In the context of forecasting South Plains' 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. South Plains' downside and upside margins for the forecasting period are 37.46 and 42.76, respectively. We have considered South Plains' 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of South Plains stock data series using in forecasting. Note that when a statistical model is used to represent South Plains 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.| AIC | Akaike Information Criteria | 120.3158 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.9444 |
| MAPE | Mean absolute percentage error | 0.0266 |
| SAE | Sum of the absolute errors | 58.5545 |
Predictive Modules for South Plains
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as South Plains Financial. 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.Other Forecasting Options for South Plains
For every potential investor in South, whether a beginner or expert, South Plains' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. South Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in South. Basic forecasting techniques help filter out the noise by identifying South Plains' price trends.View South Plains Related Equities
| Risk & Return | Correlation |
South Plains Financial 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 South Plains' 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 South Plains' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
South Plains Market Strength Events
Market strength indicators help investors to evaluate how South Plains stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading South Plains shares will generate the highest return on investment. By undertsting and applying South Plains stock market strength indicators, traders can identify South Plains Financial entry and exit signals to maximize returns.
South Plains Risk Indicators
The analysis of South Plains' 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 South Plains' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting south 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.
| Mean Deviation | 1.54 | |||
| Semi Deviation | 1.6 | |||
| Standard Deviation | 2.59 | |||
| Variance | 6.73 | |||
| Downside Variance | 3.36 | |||
| Semi Variance | 2.55 | |||
| Expected Short fall | (1.71) |
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 South Plains Financial offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of South Plains' 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 South Plains Financial Stock. Outlined below are crucial reports that will aid in making a well-informed decision on South Plains Financial Stock:Check out Historical Fundamental Analysis of South Plains to cross-verify your projections. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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 South Plains. If investors know South 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 South Plains 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 (0.15) | Dividend Share 0.54 | Earnings Share 2.57 | Revenue Per Share 11.2 | Quarterly Revenue Growth (0.03) |
The market value of South Plains Financial is measured differently than its book value, which is the value of South that is recorded on the company's balance sheet. Investors also form their own opinion of South Plains' value that differs from its market value or its book value, called intrinsic value, which is South Plains' 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 South Plains' market value can be influenced by many factors that don't directly affect South Plains' 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 South Plains' value and its price as these two are different measures arrived at by different means. Investors typically determine if South Plains is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, South Plains' 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.