SPDR SAMPP Etf Forward View - Triple Exponential Smoothing

SPY Etf  USD 648.57  -9.43  -1.43%   
SPDR SAMPP 500's Triple Exponential Smoothing reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use.
The Triple Exponential Smoothing forecasted value of SPDR SAMPP 500 on the next trading day is expected to be 646.59 with a mean absolute deviation of 4.12 and the sum of the absolute errors of 243.29.As with simple exponential smoothing, in triple exponential smoothing models past SPDR SAMPP 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 SPDR SAMPP 500 observations. All Triple Exponential Smoothing forecast figures shown for SPDR SAMPP 500 are reference data reflecting model output based on available historical prices.
Triple exponential smoothing for SPDR SAMPP - 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 SPDR SAMPP 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 SPDR SAMPP price movement. However, neither of these exponential smoothing models address any seasonality of SPDR SAMPP 500.

Triple Exponential Smoothing Price Forecast For the 23rd of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of SPDR SAMPP 500 on the next trading day is expected to be 646.59 with a mean absolute deviation of 4.12 , mean absolute percentage error of 27.08 , and the sum of the absolute errors of 243.29 .
Please note that although there have been many attempts to predict SPDR Etf 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 SPDR SAMPP's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Etf Forecast Pattern

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Forecasted Value

For the next trading day, Macroaxis evaluates SPDR SAMPP's predictive range by looking for statistically meaningful downside and upside boundaries. The current forecast range spans downside near 645.85 and upside near 647.33.
Market Value
648.57
645.85
Downside
646.59
Expected Value
647.33
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 SPDR SAMPP etf data series using in forecasting. Note that when a statistical model is used to represent SPDR SAMPP etf, 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 1.1444
MADMean absolute deviation4.1236
MAPEMean absolute percentage error0.0061
SAESum of the absolute errors243.292
As with simple exponential smoothing, in triple exponential smoothing models past SPDR SAMPP 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 SPDR SAMPP 500 observations.

Other Forecasting Options for SPDR SAMPP

Bollinger Bands applied to SPDR Etf price data measure how far SPDR has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to SPDR SAMPP's price data.

SPDR SAMPP Related Equities

These stocks are related to SPDR SAMPP within the Large Blend space and can be used for peer review, pricing, or spreading risk. Key comparison metrics include price-to-earnings, profit margin, and revenue growth across SPDR SAMPP's peer group.
 Risk & Return  Correlation

SPDR SAMPP Market Strength Events

For investors tracking SPDR SAMPP 500, market strength indicators offer quantitative evaluation of etf behavior. By using these indicators, traders can make more informed decisions about when to buy or sell SPDR SAMPP 500.

SPDR SAMPP Risk Indicators

Analyzing SPDR SAMPP's basic risk indicators provides investors with a structured view of the risk-return trade-off for spdr etf. By identifying the level of risk embedded in SPDR SAMPP's investment, investors can make informed decisions about position sizing.
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 SPDR SAMPP

A coverage review of SPDR SAMPP 500 shows when the security is attracting above-average attention from contributors and market observers. A disciplined read of coverage separates durable relevance from temporary noise.

More Resources for SPDR Etf Analysis

Understanding SPDR SAMPP 500 starts with reviewing its financial statements and long-term patterns. Selected reports below provide context for SPDR Etf:
Historical Fundamental Analysis of SPDR SAMPP offers a historical basis for evaluating projection assumptions about SPDR SAMPP.
SPDR SAMPP currently shows P/E of 21.44, market cap of 362.74 Billion. SPDR SAMPP data on this page supports broader research - the resources below add portfolio-level context. The supplemental views below help investors decide how SPDR SAMPP complements or overlaps with existing portfolio holdings. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
SPDR SAMPP's market capitalization and book value each provide useful but distinct information about the business. Together, market value, book value, and intrinsic value form a multi-dimensional view.
SPDR SAMPP intrinsic value attempts to capture underlying worth, separate from current trading levels. For SPDR SAMPP, key inputs include a P/E ratio of 21.44, and a P/B ratio of 2.75.