John Marshall Stock Forward View - Simple Regression

JMSB Stock  USD 19.48  -0.06  -0.31%   
This page provides reference data for John Marshall using Simple Regression forecasting. The projected value and error metrics are calculated from available daily price observations.
The Simple Regression forecasted value of John Marshall Bancorp on the next trading day is expected to be 19.72 with a mean absolute deviation of 0.37 and the sum of the absolute errors of 22.71.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as John Marshall Bancorp historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. This Simple Regression reference page for John Marshall presents model-generated projections from historical price data for informational purposes.
Simple Regression model is a single variable regression model that attempts to put a straight line through John Marshall price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Simple Regression Price Forecast For the 22nd of March

Given 90 days horizon, the Simple Regression forecasted value of John Marshall Bancorp on the next trading day is expected to be 19.72 with a mean absolute deviation of 0.37 , mean absolute percentage error of 0.21 , and the sum of the absolute errors of 22.71 .
Please note that although there have been many attempts to predict John 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 John Marshall's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

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Forecasted Value

Forecasting John Marshall Bancorp for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The projected forecast band currently runs from roughly 18.13 on the downside to about 21.32 on the upside.
Market Value
19.48
19.72
Expected Value
21.32
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of John Marshall stock data series using in forecasting. Note that when a statistical model is used to represent John Marshall 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 Criteria118.3904
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3664
MAPEMean absolute percentage error0.0182
SAESum of the absolute errors22.7138
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as John Marshall Bancorp historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Other Forecasting Options for John Marshall

For investors considering John, John Marshall's price movement is the most direct driver of investment returns. Noise in John Stock price charts can make identifying meaningful trends difficult without dedicated analytical tools.

John Marshall Related Equities

The following equities are related to John Marshall within the Financials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing John Marshall against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

John Marshall Market Strength Events

Market strength indicators for John Marshall provide investors with a view of how the stock performs across different market environments. By analyzing these indicators, traders can determine the best moments to enter or exit positions in John Marshall Bancorp.

John Marshall Risk Indicators

A structured analysis of John Marshall's risk indicators is one of the most reliable ways to improve the accuracy of price forecasts. Understanding the risk embedded in John Marshall's allows investors to decide whether to accept, reduce, or hedge their exposure.
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 John Marshall

Coverage intensity for John Marshall Bancorp matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

John Marshall Short Properties

Short sentiment tied to John Marshall Bancorp matters because heavier bearish pressure can change how quickly future price expectations become unstable. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
Common Stock Shares Outstanding14.2 M
Cash And Short Term Investments135.7 M

More Resources for John Stock Analysis

A baseline understanding of John Marshall Bancorp is formed through its financial statements and trends. These ratios help explain how earnings, efficiency, and value creation are connected. The data reflects John Marshall's reported financial activity across periods.