VanEck Semiconductor ETF Forward View - Simple Moving Average

SMH ETF  USD 566.54  26.44  4.90%   
This Simple Moving Average projection for VanEck Semiconductor is fitted to the equity's recent daily closes. Low error metrics relative to the price level indicate the model fits recent trading behavior well. The Simple Moving Average model projects VanEck Semiconductor at 566.54 for the next trading day, at the most recent closing price. This forecast is one analytical input among many and should be assessed in the context of broader analysis.
The two-period moving average forecast for VanEck Semiconductor replaces each daily closing price with the mean of that price and the preceding day's close. This produces a lightly smoothed series that closely tracks the actual price with a one-period lag.

Simple Moving Average Price Forecast For the 11th of May 2026

Over a 90-day horizon, the Simple Moving Average model forecasts VanEck Semiconductor at 566.54 for the next trading day, with a mean absolute deviation of 9.18 , mean absolute percentage error of 0.02 , and sum of absolute errors of 541.77 .
This represents a tight forecast with good short-term tracking of VanEck Semiconductor's price movement. This output is intended for short-term analytical reference.

ETF Forecast Pattern

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Forecasted Value

VanEck Semiconductor's next-session forecast estimates practical downside and upside boundaries based on the model's historical fit. The current forecast range spans downside near 564.28 and upside near 568.80. The narrow range indicates limited short-term dispersion.
Market Value
566.54
564.28
566.54
Expected Value
568.80

Model Predictive Factors

The table below summarizes the Simple Moving Average model's error metrics for VanEck Semiconductor ETF. 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 Criteria119.3541
BiasArithmetic mean of the errors -4.0514
MADMean absolute deviation9.1826
MAPEMean absolute percentage error0.021
SAESum of the absolute errors541.775
With only two periods, the model is highly responsive to recent VanEck Semiconductor ETF price changes but provides minimal noise reduction. It is best suited for short-term evaluation of low-to-moderate volatility price series. A widening gap between the forecast and actual values may indicate an acceleration in price momentum.

Other Forecasting Options for VanEck Semiconductor

The autocorrelation structure of VanEck Semiconductor's daily returns reveals whether VanEck exhibits momentum, mean-reversion, or random-walk behavior. Separating these elements distinguishes persistent directional moves from temporary noise in VanEck ETF price data.

VanEck Semiconductor Comparable Funds

Investors studying VanEck Semiconductor often review similar funds to compare yield, discount behavior, and risk. Peer review is strongest when it focuses on NAV trend, discount or premium to NAV, yield, and fee burden. A fund that looks different from peers may simply be following a distinct exposure or payout strategy.
 Risk & Return  Correlation

VanEck Semiconductor Market Strength Events

Rate of Change and Momentum readings for VanEck Semiconductor measure the velocity of recent price moves rather than direction alone. These indicators add context to how recent sessions in VanEck Semiconductor have behaved.

VanEck Semiconductor Risk Indicators

Standard deviation and variance for VanEck Semiconductor measure total price dispersion, while semi-deviation isolates only the downside moves. Higher variance relative to sector peers signals that VanEck Semiconductor's price path has been less predictable over the measured period.
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.