Hooker Furniture Stock Forward View - Polynomial Regression

HOFT Stock  USD 12.81  -0.05  -0.39%   
Hooker Furniture's Polynomial Regression forecast is computed from observed closing prices over the selected horizon. The accuracy statistics below distinguish a well-fitted model from one that is smoothing over meaningful price movement. The Polynomial Regression model projects Hooker Furniture at 11.81 for the next trading day, below the most recent closing price. The Polynomial Regression output reflects statistical model results and is provided for reference purposes.
Polynomial regression for Hooker Furniture fits a curved line through historical price points using time as the independent variable. Unlike simple regression, which fits only a straight line, polynomial regression can capture nonlinear price trends including acceleration and deceleration.

Polynomial Regression Price Forecast For the 9th of May

Over a 90-day horizon, the Polynomial Regression model forecasts Hooker Furniture at 11.81 for the next trading day, with a mean absolute deviation of 0.59 , mean absolute percentage error of 0.05 , and sum of absolute errors of 35.86 .
This represents a tight forecast with good short-term tracking of Hooker Furniture's price movement. This output is intended for short-term analytical reference.

Stock Forecast Pattern

Backtest Hooker Furniture  Hooker Furniture Price Prediction  Research Analysis  

Forecasted Value

The projected range for Hooker Furniture reflects the model's ability to define credible downside and upside scenarios for the next trading day. The forecast band spans 8.20 to 15.43. The wide range indicates elevated uncertainty in short-term projections.
Market Value
12.81
11.81
Expected Value
15.43

Model Predictive Factors

The table below summarizes the Polynomial Regression model's error metrics for Hooker Furniture stock. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.
AICAkaike Information Criteria117.5439
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5879
MAPEMean absolute percentage error0.045
SAESum of the absolute errors35.8632
The model takes the form: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm. Higher-degree polynomials fit Hooker Furniture historical data more closely but are more prone to overfitting, which can produce unreliable extrapolations beyond the observed price range.

Other Forecasting Options for Hooker Furniture

Analyzing Hooker Furniture's price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in Hooker Furniture's chart signal overbought or oversold conditions.

Hooker Furniture Related Equities

Investors studying Hooker Furniture often look at related stocks within the Consumer Discretionary space to gauge pricing and results. Profit comparisons show whether Hooker Furniture earns above or below average returns next to its peers. When Hooker Furniture breaks from its peer group on a key metric, it often signals a firm-level change worth exploring.
 Risk & Return  Correlation

Hooker Furniture Market Strength Events

For investors tracking Hooker Furniture, market strength indicators offer quantitative evaluation of stock behavior. When Rate of Change diverges from price direction, it often signals weakening momentum before a visible reversal in Hooker Furniture.

Hooker Furniture Risk Indicators

Analyzing Hooker Furniture's basic risk indicators provides a structured view of the risk-return trade-off for hooker furniture stock. Expected shortfall estimates the average loss in the worst-case tail scenarios, going beyond what standard deviation alone captures for Hooker Furniture.
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.

Hooker Furniture Short Properties

Short-interest data for Hooker Furniture reveals whether bearish conviction in the market is gaining traction. This is applicable when the question is whether bearish pressure is starting to shape the market's reaction function.
Common Stock Shares Outstanding10.72 million
Cash And Short Term Investments1.11 million