Vanguard 500 Mutual Fund Forward View - Polynomial Regression

Polynomial regression for Vanguard 500 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 11th of May 2026

Over a 90-day horizon, the Polynomial Regression model forecasts Vanguard 500 at 697.76 for the next trading day, with a mean absolute deviation of 8.82 , mean absolute percentage error of 0.01 , and sum of absolute errors of 537.78 .

Mutual Fund Forecast Pattern

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Vanguard 500 Price Prediction

Research Analysis

Forecasted Value

Model Predictive Factors

The table below summarizes the Polynomial Regression model's error metrics for Vanguard 500 mutual fund. 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. The model takes the form: Y = a₀ + a₁*X + a₂*X² + a₃*X³ + ... + a_m*X^m. Higher-degree polynomials fit Vanguard 500 Index historical data more closely but are more prone to overfitting, which can produce unreliable extrapolations beyond the observed price range.

Other Forecasting Options for Vanguard 500

Vanguard 500's daily price returns decompose into trend, seasonal, and residual components. Divergence between short-term and long-term averages in Vanguard 500 often signals an upcoming reversal or acceleration.

Vanguard 500 Comparable Funds

Risk & Return

Correlation

Vanguard 500 Market Strength Events

Vanguard 500 Risk Indicators