SPDR SAMPP Etf Forward View - Simple Exponential Smoothing
| XPH Etf | USD 52.72 -1.00 -1.86% |
SPDR SAMPP Pharmaceuticals's Simple 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 Simple Exponential Smoothing forecasted value of SPDR SAMPP Pharmaceuticals on the next trading day is projected to be 52.79 with a mean absolute deviation of 0.58 and the sum of the absolute errors of 35.03.This simple exponential smoothing model begins by setting SPDR SAMPP Pharmaceuticals forecast for the second period equal to the observation of the first period. In other words, recent SPDR SAMPP observations are given relatively more weight in forecasting than the older observations. All Simple Exponential Smoothing forecast figures shown for SPDR SAMPP Pharmaceuticals are reference data reflecting model output based on available historical prices. Simple Exponential Smoothing Price Forecast For the 23rd of March
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of SPDR SAMPP Pharmaceuticals on the next trading day is expected to be 52.79 with a mean absolute deviation of 0.58 , mean absolute percentage error of 0.55 , and the sum of the absolute errors of 35.03 .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
| Backtest SPDR SAMPP | SPDR SAMPP Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates SPDR SAMPP's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 51.44 and upside around 54.14 for the forecasting period.
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 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.| AIC | Akaike Information Criteria | 115.6753 |
| Bias | Arithmetic mean of the errors | 0.087 |
| MAD | Mean absolute deviation | 0.5838 |
| MAPE | Mean absolute percentage error | 0.0104 |
| SAE | Sum of the absolute errors | 35.03 |
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
SPDR SAMPP's market space within the Health space is best grasped by looking at the firms listed below. Market cap and total value checks frame SPDR SAMPP's size within the competitive field.
| Risk & Return | Correlation |
SPDR SAMPP Market Strength Events
For investors tracking SPDR SAMPP Pharmaceuticals, 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 Pharmaceuticals.
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.
| Mean Deviation | 1.05 | |||
| Standard Deviation | 1.35 | |||
| Variance | 1.82 |
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 Pharmaceuticals shows when the security is attracting above-average attention from contributors and market observers. 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.
Story Categories
Currently Trending Categories
More Resources for SPDR Etf Analysis
Initial analysis of SPDR SAMPP centers on its financial statements and observed trends. Ratio analysis outlines performance across profit, efficiency, and growth.Historical Fundamental Analysis of SPDR SAMPP provides a cross-check on projections for SPDR SAMPP. SPDR SAMPP currently shows P/E of 6.56, market cap of 236.07 Million. SPDR SAMPP data on this page supports broader research - the resources below add portfolio-level context. SPDR SAMPP analysis across multiple dimensions - risk, valuation, diversification - produces a more informed position-sizing decision. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
For SPDR SAMPP, market value and book value represent two distinct lenses on the same underlying business. SPDR SAMPP's market capitalization is 236.07 M. At P/B 1.51, SPDR SAMPP trades moderately above book value. Where intrinsic value falls relative to market price and book value helps frame the analytical picture.
For SPDR SAMPP, intrinsic value is a model-driven estimate while price is a market-driven observation. Where SPDR SAMPP trades at any moment depends on the balance of buying and selling pressure.