Selective Insurance Stock Forward View - Polynomial Regression

SIGI Stock  USD 84.69  1.69  2.04%   
Selective Insurance'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 Selective Insurance at 85.22 for the next trading day, above the most recent closing price. The Polynomial Regression output reflects statistical model results and is provided for reference purposes.
Polynomial regression for Selective Insurance 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 Selective Insurance at 85.22 for the next trading day, with a mean absolute deviation of 1.65 , mean absolute percentage error of 0.02 , and sum of absolute errors of 100.83 .
This represents a tight forecast with good short-term tracking of Selective Insurance's price movement. This output is intended for short-term analytical reference.

Stock Forecast Pattern

Backtest Selective Insurance  Selective Insurance Price Prediction  Research Analysis  

Forecasted Value

The next-day forecast range for Selective Insurance defines statistically derived downside and upside boundaries based on model performance. Downside is estimated near 83.39 and upside near 87.04. The moderate spread reflects defined uncertainty around the forecast.
Market Value
84.69
85.22
Expected Value
87.04

Model Predictive Factors

The table below summarizes the Polynomial Regression model's error metrics for Selective Insurance 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 Criteria119.4878
BiasArithmetic mean of the errors None
MADMean absolute deviation1.653
MAPEMean absolute percentage error0.0206
SAESum of the absolute errors100.8338
The model takes the form: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm. Higher-degree polynomials fit Selective Insurance Group historical data more closely but are more prone to overfitting, which can produce unreliable extrapolations beyond the observed price range.

Other Forecasting Options for Selective Insurance

Analyzing Selective Insurance'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 Selective Insurance's chart signal overbought or oversold conditions.

Selective Insurance Related Equities

The peer firms below within the Financials space frame Selective Insurance's pricing and running costs in context. Checking Selective Insurance against peers on P/E, margins, and return on equity helps put its position in context. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into. Combining quantitative ratios with qualitative context such as management quality and market position sharpens peer comparisons.
 Risk & Return  Correlation

Selective Insurance Market Strength Events

For investors tracking Selective Insurance Group, 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 Selective Insurance.

Selective Insurance Risk Indicators

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

Selective Insurance Short Properties

Short sentiment tied to Selective Insurance Group matters because heavier bearish pressure can change how quickly future price expectations become unstable. A disciplined short-interest review can make timing decisions more informed under rising skepticism.
Common Stock Shares Outstanding61.1 million
Cash And Short Term Investments17.96 million

More Resources for Selective Stock Analysis

Initial analysis of Selective Insurance centers on its financial statements and observed trends. Ratio analysis outlines performance across profit, efficiency, and growth.