BROWN ADVISORY Mutual Fund Forward View - Triple Exponential Smoothing

BASAX Fund  USD 17.88  0.10  0.56%   
This reference page presents Triple Exponential Smoothing forecast data for Brown Advisory Small Cap. The projected values and error metrics are presented below as reference information.
The Triple Exponential Smoothing forecasted value of Brown Advisory Small Cap on the next trading day is expected to be 17.84 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.13.As with simple exponential smoothing, in triple exponential smoothing models past BROWN ADVISORY 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 Brown Advisory Small Cap observations. This Triple Exponential Smoothing forecast data for Brown Advisory Small Cap is sourced from the most recent available trading data and is intended solely as reference information.
Triple exponential smoothing for BROWN ADVISORY - 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 BROWN ADVISORY 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 BROWN ADVISORY price movement. However, neither of these exponential smoothing models address any seasonality of Brown Advisory Small.

Triple Exponential Smoothing Price Forecast For the 26th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Brown Advisory Small Cap on the next trading day is expected to be 17.84 with a mean absolute deviation of 0.17 , mean absolute percentage error of 0.05 , and the sum of the absolute errors of 10.13 .
Please note that although there have been many attempts to predict BROWN Mutual Fund 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 BROWN ADVISORY's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

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Forecasted Value

This next-day forecast for Brown Advisory Small Cap uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
17.88
17.84
Expected Value
18.95
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 BROWN ADVISORY mutual fund data series using in forecasting. Note that when a statistical model is used to represent BROWN ADVISORY mutual fund, 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 -0.0238
MADMean absolute deviation0.1717
MAPEMean absolute percentage error0.0092
SAESum of the absolute errors10.1311
As with simple exponential smoothing, in triple exponential smoothing models past BROWN ADVISORY 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 Brown Advisory Small Cap observations.

Other Forecasting Options for BROWN ADVISORY

BROWN ADVISORY's daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in BROWN often signals an upcoming reversal or acceleration.

BROWN ADVISORY Related Equities

Sizing up BROWN ADVISORY against these stocks within the Small Growth space shows how it compares on key financial measures. Market cap and total value checks frame BROWN ADVISORY's size within the competitive field.
 Risk & Return  Correlation

BROWN ADVISORY Market Strength Events

Market strength indicators help investors evaluate how BROWN ADVISORY mutual fund reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading Brown Advisory Small Cap.

BROWN ADVISORY Risk Indicators

The analysis of BROWN ADVISORY's basic risk indicators is one of the essential steps in accurately forecasting its future price. Understanding the risk involved in holding BROWN ADVISORY's allows investors to make informed decisions about their exposure.
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 BROWN ADVISORY

Story coverage around Brown Advisory Small Cap often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

Other Macroaxis Stories

Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.