AMG TIMESSQUARE Mutual Fund Forward View - Triple Exponential Smoothing

TSCPX Fund  USD 11.08  -0.34  -2.98%   
This Triple Exponential Smoothing reference page for Amg Timessquare Small presents model-generated forecast data based on historical daily prices. The output values and deviation metrics are provided for informational reference.
The Triple Exponential Smoothing forecasted value of Amg Timessquare Small on the next trading day is expected to be 11.04 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.13.As with simple exponential smoothing, in triple exponential smoothing models past AMG TIMESSQUARE 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 Amg Timessquare Small observations. All Triple Exponential Smoothing forecast figures shown for Amg Timessquare Small are reference data reflecting model output based on available historical prices.
Triple exponential smoothing for AMG TIMESSQUARE - 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 AMG TIMESSQUARE 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 AMG TIMESSQUARE price movement. However, neither of these exponential smoothing models address any seasonality of Amg Timessquare Small.

Triple Exponential Smoothing Price Forecast For the 22nd of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Amg Timessquare Small on the next trading day is expected to be 11.04 with a mean absolute deviation of 0.12 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 7.13 .
Please note that although there have been many attempts to predict AMG 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 AMG TIMESSQUARE'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

The next-day forecast for Amg Timessquare Small focuses on identifying predictive downside and upside bands that can frame a realistic trading range. At the moment, the model places downside around 9.82 and upside around 12.26 for the forecasting period.
Market Value
11.08
11.04
Expected Value
12.26
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 AMG TIMESSQUARE mutual fund data series using in forecasting. Note that when a statistical model is used to represent AMG TIMESSQUARE 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 0.0257
MADMean absolute deviation0.1208
MAPEMean absolute percentage error0.01
SAESum of the absolute errors7.1289
As with simple exponential smoothing, in triple exponential smoothing models past AMG TIMESSQUARE 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 Amg Timessquare Small observations.

Other Forecasting Options for AMG TIMESSQUARE

Price movement is the most fundamental factor that determines whether AMG is a viable investment for any investor. AMG Mutual Fund price charts are often noisy, making it difficult to identify meaningful patterns without analytical tools.

AMG TIMESSQUARE Related Equities

The following equities are related to AMG TIMESSQUARE within the Small Growth space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing AMG TIMESSQUARE 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

AMG TIMESSQUARE Market Strength Events

Assessing the market strength of AMG TIMESSQUARE mutual fund provides investors with a clearer picture of how the security reacts to evolving market dynamics. These indicators can be used to identify periods when trading Amg Timessquare Small is most likely to be profitable.

AMG TIMESSQUARE Risk Indicators

The analysis of AMG TIMESSQUARE's basic risk metrics provides a foundation for forecasting its future price and managing investment risk. Identifying the magnitude of risk in AMG TIMESSQUARE's provides context to choose between accepting or hedging 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 AMG TIMESSQUARE

The amount of media and story coverage tied to Amg Timessquare Small can signal where market attention is concentrating at the moment. A disciplined read of coverage separates durable relevance from temporary noise.

Other Macroaxis Stories

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