Bandwidth Stock Forward View - Triple Exponential Smoothing

BAND Stock  USD 15.41  0.43  2.87%   
Bandwidth's Triple Exponential Smoothing reference page summarizes the forecasted price and model accuracy metrics derived from daily trading data. This reference information is provided for analytical context.
The Triple Exponential Smoothing forecasted value of Bandwidth on the next trading day is expected to be 15.46 with a mean absolute deviation of 0.32 and the sum of the absolute errors of 18.92.As with simple exponential smoothing, in triple exponential smoothing models past Bandwidth observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Bandwidth observations. This Triple Exponential Smoothing forecast data for Bandwidth is sourced from the most recent available trading data and is intended solely as reference information.
Triple exponential smoothing for Bandwidth - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Bandwidth prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Bandwidth price movement. However, neither of these exponential smoothing models address any seasonality of Bandwidth.

Triple Exponential Smoothing Price Forecast For the 21st of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Bandwidth on the next trading day is expected to be 15.46 with a mean absolute deviation of 0.32 , mean absolute percentage error of 0.21 , and the sum of the absolute errors of 18.92 .
Please note that although there have been many attempts to predict Bandwidth 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 Bandwidth'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

The next-day forecast for Bandwidth focuses on identifying predictive downside and upside bands that can frame a realistic trading range. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
15.41
15.46
Expected Value
18.56
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Bandwidth stock data series using in forecasting. Note that when a statistical model is used to represent Bandwidth 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 CriteriaHuge
BiasArithmetic mean of the errors 0.0587
MADMean absolute deviation0.3153
MAPEMean absolute percentage error0.0218
SAESum of the absolute errors18.9187
As with simple exponential smoothing, in triple exponential smoothing models past Bandwidth observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Bandwidth observations.

Other Forecasting Options for Bandwidth

The movement of Bandwidth price is the central consideration for investors deciding whether to enter or hold a position. Noise in Bandwidth Stock price charts can make it difficult to distinguish meaningful trends from random fluctuations.

Bandwidth Related Equities

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

Bandwidth Market Strength Events

Investors use market strength indicators for Bandwidth to evaluate how the stock performs relative to broader market trends. These indicators support more precise timing of Bandwidth positions, helping investors maximize return and minimize poorly-timed trades.

Bandwidth Risk Indicators

A careful analysis of Bandwidth's basic risk indicators provides context for understanding the risk environment surrounding bandwidth stock. This understanding is an essential input for forecasting Bandwidth's future price and for deciding how to manage the associated investment risk.
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 Bandwidth

Coverage intensity for Bandwidth matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

Bandwidth Short Properties

Short sentiment tied to Bandwidth matters because heavier bearish pressure can change how quickly future price expectations become unstable. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
Common Stock Shares Outstanding30 M
Cash And Short Term Investments111.6 M

More Resources for Bandwidth Stock Analysis

A full view of Bandwidth is built from its financial statements and trend data. These measures show how earnings and operations are structured.