SPDR SAMPP Etf Forward View - Simple Regression
| SXLC Etf | 45.17 -0.22 -0.48% |
The Simple Regression forecast shown here for SPDR SAMPP is reference data produced from its historical price series. The projected value and error measures below serve as reference information.
The Simple Regression forecasted value of SPDR SAMPP Communication on the next trading day is expected to be 45.83 with a mean absolute deviation of 0.63 and the sum of the absolute errors of 38.54.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as SPDR SAMPP Communication historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. This Simple Regression reference page for SPDR SAMPP presents model-generated projections from historical price data for informational purposes. Simple Regression Price Forecast For the 24th of March
Given 90 days horizon, the Simple Regression forecasted value of SPDR SAMPP Communication on the next trading day is expected to be 45.83 with a mean absolute deviation of 0.63 , mean absolute percentage error of 0.55 , and the sum of the absolute errors of 38.54 .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 45.00 and upside near 46.66.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression 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 | 117.5136 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.6318 |
| MAPE | Mean absolute percentage error | 0.0139 |
| SAE | Sum of the absolute errors | 38.5372 |
Other Forecasting Options for SPDR SAMPP
The distribution of SPDR SAMPP's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in SPDR SAMPP's chart that simple price charts miss.SPDR SAMPP Related Equities
These firms work in a similar space as SPDR SAMPP within the Sector Equity Communications space and serve as useful points for comparison. Growth rate gaps between SPDR SAMPP and its peers often explain pricing differences in the market.
| Risk & Return | Correlation |
SPDR SAMPP Market Strength Events
Market strength indicators for SPDR SAMPP give insight into the etf's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in SPDR SAMPP Communication.
SPDR SAMPP Risk Indicators
A thorough review of SPDR SAMPP's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in SPDR SAMPP's allows investors to make better decisions about entry, sizing, and hedging.
| Mean Deviation | 0.6609 | |||
| Semi Deviation | 0.7494 | |||
| Standard Deviation | 0.8164 | |||
| Variance | 0.6665 | |||
| Downside Variance | 0.6798 | |||
| Semi Variance | 0.5616 | |||
| Expected Short fall | -0.75 |
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 Communication can signal where market attention is concentrating at the moment. 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.
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Other Information on Investing in SPDR Etf
Financial ratios for SPDR SAMPP organize key financial data into structured relationships. This format maintains consistency across different reporting periods.