Affiliated Managers Stock Forward View - Simple Exponential Smoothing

AMG Stock  USD 278.17  -0.50  -0.18%   
This page documents Simple Exponential Smoothing forecast output for Affiliated Managers Group as reference data. The model is applied to historical closing prices and the resulting projection and error statistics are shown below.
The Simple Exponential Smoothing forecasted value of Affiliated Managers Group on the next trading day is expected to be 278.17 with a mean absolute deviation of 5.32 and the sum of the absolute errors of 324.37.This simple exponential smoothing model begins by setting Affiliated Managers Group forecast for the second period equal to the observation of the first period. In other words, recent Affiliated Managers observations are given relatively more weight in forecasting than the older observations. The Simple Exponential Smoothing reference information for Affiliated Managers is based on available price data and is intended for informational purposes.
Affiliated Managers simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Affiliated Managers Group are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Affiliated Managers prices get older.

Simple Exponential Smoothing Price Forecast For the 22nd of March

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Affiliated Managers Group on the next trading day is expected to be 278.17 with a mean absolute deviation of 5.32 , mean absolute percentage error of 59.18 , and the sum of the absolute errors of 324.37 .
Please note that although there have been many attempts to predict Affiliated 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 Affiliated Managers' 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

Forecasting Affiliated Managers Group for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Market Value
278.17
275.67
Downside
278.17
Expected Value
280.67
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Affiliated Managers stock data series using in forecasting. Note that when a statistical model is used to represent Affiliated Managers 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 Criteria122.191
BiasArithmetic mean of the errors 0.1556
MADMean absolute deviation5.3175
MAPEMean absolute percentage error0.0175
SAESum of the absolute errors324.37
This simple exponential smoothing model begins by setting Affiliated Managers Group forecast for the second period equal to the observation of the first period. In other words, recent Affiliated Managers observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for Affiliated Managers

Any investor evaluating Affiliated must grapple with the challenge of interpreting Affiliated Managers' price movement accurately. Affiliated Stock price charts typically contain substantial noise that can complicate analysis and lead to poor decisions.

Affiliated Managers Related Equities

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

Affiliated Managers Market Strength Events

Market strength indicators for Affiliated Managers assess how the stock responds to ongoing changes in market conditions and investor sentiment. By monitoring these indicators, investors can identify the most opportune moments to trade Affiliated Managers Group.

Affiliated Managers Risk Indicators

Risk indicator analysis for Affiliated Managers is a critical component of accurate price forecasting and sound investment decision-making. By identifying how much risk is embedded in Affiliated Managers' investment, investors can decide how to position and protect 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 Affiliated Managers

Coverage intensity for Affiliated Managers Group matters because narrative visibility can influence sentiment, participation, and volatility around the name. A disciplined read of coverage separates durable relevance from temporary noise.

Affiliated Managers Short Properties

A short-interest review of Affiliated Managers Group provides context for understanding whether skepticism in the market is becoming more influential. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
Common Stock Shares Outstanding33 M
Cash And Short Term Investments586 M

More Resources for Affiliated Stock Analysis

The foundation for reviewing Affiliated Managers is its financial reporting and trend data. These measures summarize how the business operates financially.