SPDR SAMPP Etf Forward View - Triple Exponential Smoothing
| XTN Etf | USD 88.26 -1.19 -1.33% |
SPDR SAMPP Transportation's Triple Exponential Smoothing forecast reference data is generated from the equity's historical trading prices. This page presents the model output and associated accuracy measures as reference information.
The Triple Exponential Smoothing forecasted value of SPDR SAMPP Transportation on the next trading day is expected to be 88.46 with a mean absolute deviation of 1.47 and the sum of the absolute errors of 86.95.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 Transportation observations. The Triple Exponential Smoothing projections for SPDR SAMPP Transportation are reference data based on historical daily prices and are provided as informational context. Triple Exponential Smoothing Price Forecast For the 23rd of March
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of SPDR SAMPP Transportation on the next trading day is expected to be 88.46 with a mean absolute deviation of 1.47 , mean absolute percentage error of 3.47 , and the sum of the absolute errors of 86.95 .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. The current forecast range spans downside near 86.62 and upside near 90.30.
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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | 0.2836 |
| MAD | Mean absolute deviation | 1.4737 |
| MAPE | Mean absolute percentage error | 0.0151 |
| SAE | Sum of the absolute errors | 86.95 |
Other Forecasting Options for SPDR SAMPP
The price trajectory of SPDR is the primary concern for any investor assessing it as an opportunity. SPDR Etf price charts are filled with noise that can easily mislead uninformed investment decisions.SPDR SAMPP Related Equities
The following equities are related to SPDR SAMPP within the Industrials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing SPDR SAMPP 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 |
SPDR SAMPP Market Strength Events
Understanding the market strength of SPDR SAMPP etf enables investors to assess the security's momentum and responsiveness to broader market forces. These indicators are essential tools for timing trades in SPDR SAMPP Transportation with greater precision.
SPDR SAMPP Risk Indicators
Reviewing SPDR SAMPP's basic risk indicators is essential for investors who want to forecast its price and manage their investment risk effectively. This analysis helps identify the amount of risk involved in holding SPDR SAMPP's and informs decisions about hedging and position.
| Mean Deviation | 1.38 | |||
| Standard Deviation | 1.8 | |||
| Variance | 3.25 |
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
The amount of media and story coverage tied to SPDR SAMPP Transportation can signal where market attention is concentrating at the moment. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
Other Macroaxis Stories
Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.
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More Resources for SPDR Etf Analysis
Initial analysis of SPDR SAMPP Transportation centers on its financial statements and observed trends. Ratio analysis outlines performance across profit, efficiency, and growth.Use Historical Fundamental Analysis of SPDR SAMPP to cross-verify projections for SPDR SAMPP. The historical analysis frames SPDR SAMPP's projections against observed trends. The relationship between past fundamentals and projections varies by ETF and industry. Financial data is sourced from standardized regulatory submissions. SPDR SAMPP currently shows P/E of 17.13. This analysis of SPDR SAMPP works best as a complementary layer when evaluating how the security fits in a broader portfolio. For SPDR SAMPP, the analytical tools below add portfolio-level context that single-security review alone cannot provide. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Understanding SPDR SAMPP Transportation includes distinguishing between market value and book value, where book value reflects SPDR's accounting equity. At P/B 2.39, SPDR SAMPP trades moderately above book value. Value and price for SPDR SAMPP are related but not identical, and they can diverge across cycles.
Understanding SPDR SAMPP involves recognizing that value and price can reflect different time horizons. For SPDR SAMPP, key inputs include a P/E ratio of 17.13, and a P/B ratio of 2.39. In practice, SPDR SAMPP price is set by the continuous auction process on its listing exchange.