FS Bancorp Stock Forward View - Polynomial Regression
| FSBW Stock | USD 39.20 -0.68 -1.71% |
FS Bancorp's Polynomial Regression reference data reflects the model's output when applied to available daily price observations. This page summarizes the model output and key accuracy metrics for reference. The projected value and error metrics are calculated from available daily price observations.
The Polynomial Regression forecasted value of FS Bancorp on the next trading day is expected to be 37.49 with a mean absolute deviation of 0.66 and the sum of the absolute errors of 40.92.A single variable polynomial regression model attempts to put a curve through the FS Bancorp historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm The Polynomial Regression reference values for FS Bancorp are derived from publicly available price data and should be used for informational purposes only. Polynomial Regression Price Forecast For the 26th of March
Given 90 days horizon, the Polynomial Regression forecasted value of FS Bancorp on the next trading day is expected to be 37.49 with a mean absolute deviation of 0.66 , mean absolute percentage error of 0.67 , and the sum of the absolute errors of 40.92 .Please note that although there have been many attempts to predict FSBW Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that FS Bancorp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest FS Bancorp | FS Bancorp Price Prediction | Research Analysis |
Forecasted Value
Forecasting FS Bancorp for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. At the moment, the model places downside around 35.56 and upside around 39.42 for the forecasting period.
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 FS Bancorp stock data series using in forecasting. Note that when a statistical model is used to represent FS Bancorp 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 | 119.5473 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.66 |
| MAPE | Mean absolute percentage error | 0.0163 |
| SAE | Sum of the absolute errors | 40.9173 |
Other Forecasting Options for FS Bancorp
Relative Strength Index values for FSBW measure the speed and magnitude of recent price changes. Recognizing these clusters in FS Bancorp's returns helps calibrate position size and stop-loss levels. Candlestick pattern analysis of FSBW Stock daily data can reveal short-term reversal or continuation signals.FS Bancorp Related Equities
These related stocks within the Financials space give benchmarks for judging FS Bancorp's results, margins, and growth trend. Growth rate gaps between FS Bancorp and its peers often explain pricing differences in the market. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into. This peer set gives the context needed for a well-rounded view of FS Bancorp.
| Risk & Return | Correlation |
FS Bancorp Market Strength Events
Market strength indicators provide a structured view of how FS Bancorp stock is positioned relative to trends. These indicators are valuable tools for identifying when to enter or exit positions in FS Bancorp. These signals help validate or refine position timing for FS Bancorp.
FS Bancorp Risk Indicators
The analysis of FS Bancorp's risk metrics is one of the most important steps in projecting its future price. This process quantifies the risk associated with FS Bancorp's and helps determine how to manage it. A structured analysis of FS Bancorp's risk indicators is one of the most reliable ways to improve forecast accuracy.
| Mean Deviation | 1.27 | |||
| Standard Deviation | 1.86 | |||
| Variance | 3.46 |
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.
Story Coverage note for FS Bancorp
The amount of media and story coverage tied to FS Bancorp can signal where market attention is concentrating at the moment. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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FS Bancorp Short Properties
Short-interest signals around FS Bancorp can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
| Common Stock Shares Outstanding | 7.7 M | |
| Cash And Short Term Investments | 302.2 M |
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