Enerpac Tool Stock Forward View - Simple Regression

EPAC Stock  USD 35.97  -0.28  -0.77%   
This reference page presents Simple Regression forecast data for Enerpac Tool Group. The model output shown here is derived from Enerpac Tool's historical price series and is provided for informational purposes.
The Simple Regression forecasted value of Enerpac Tool Group on the next trading day is expected to be 38.44 with a mean absolute deviation of 1.64 and the sum of the absolute errors of 99.97.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 Enerpac Tool Group 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 forecast data for Enerpac Tool Group is sourced from the most recent available trading data and is intended solely as reference information.
Simple Regression model is a single variable regression model that attempts to put a straight line through Enerpac Tool 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 23rd of March

Given 90 days horizon, the Simple Regression forecasted value of Enerpac Tool Group on the next trading day is expected to be 38.44 with a mean absolute deviation of 1.64 , mean absolute percentage error of 3.49 , and the sum of the absolute errors of 99.97 .
Please note that although there have been many attempts to predict Enerpac 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 Enerpac Tool'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

This next-day forecast for Enerpac Tool Group uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. The current forecast range spans downside near 36.69 and upside near 40.19.
Market Value
35.97
38.44
Expected Value
40.19
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 Enerpac Tool stock data series using in forecasting. Note that when a statistical model is used to represent Enerpac Tool 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 Criteria119.3599
BiasArithmetic mean of the errors None
MADMean absolute deviation1.6389
MAPEMean absolute percentage error0.0413
SAESum of the absolute errors99.9713
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 Enerpac Tool Group 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 Enerpac Tool

For every potential investor in Enerpac, whether a beginner or expert, Enerpac Tool's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.

Enerpac Tool Related Equities

The following equities are related to Enerpac Tool within the Industrials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Enerpac Tool 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

Enerpac Tool Market Strength Events

Market strength indicators help investors to evaluate how Enerpac Tool stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Enerpac Tool shares will generate the highest return on.

Enerpac Tool Risk Indicators

The analysis of Enerpac Tool'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 Enerpac Tool's investment and either accepting that risk or mitigating it.
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 Enerpac Tool

A coverage review of Enerpac Tool Group shows when the security is attracting above-average attention from contributors and market observers. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

Enerpac Tool Short Properties

A short-interest review of Enerpac Tool Group provides context for understanding whether skepticism in the market is becoming more influential. This is most valuable when investors want to know whether bearish pressure is starting to shape the market's reaction function.
Common Stock Shares Outstanding54.5 M
Cash And Short Term Investments151.6 M

More Resources for Enerpac Stock Analysis

Analysis of Enerpac Tool Group often begins with its financial statements and historical patterns. Ratios connect earnings, costs, and operational efficiency. All figures are aligned with Enerpac Tool's latest available data.