Samsung Electronics Stock Forward View - Simple Exponential Smoothing
| SSU Stock | EUR 2,650 -170.00 -6.03% |
This reference page presents Simple Exponential Smoothing forecast data for Samsung Electronics Co. The projected values and error metrics are presented below as reference information. The output values and deviation metrics are provided for informational reference.
The Simple Exponential Smoothing forecasted value of Samsung Electronics Co on the next trading day is expected to be 2,650 with a mean absolute deviation of 82.50 and the sum of the absolute errors of 4,950.This simple exponential smoothing model begins by setting Samsung Electronics Co forecast for the second period equal to the observation of the first period. In other words, recent Samsung Electronics observations are given relatively more weight in forecasting than the older observations. This Simple Exponential Smoothing forecast data for Samsung Electronics Co is sourced from the most recent available trading data and is intended solely as reference information. Simple Exponential Smoothing Price Forecast For the 24th of March
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Samsung Electronics Co on the next trading day is expected to be 2,650 with a mean absolute deviation of 82.50 , mean absolute percentage error of 10,293 , and the sum of the absolute errors of 4,950 .Please note that although there have been many attempts to predict Samsung 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 Samsung Electronics' 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
This next-day forecast for Samsung Electronics Co uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. The projected forecast band currently runs from roughly 2,646 on the downside to about 2,654 on the 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 Samsung Electronics stock data series using in forecasting. Note that when a statistical model is used to represent Samsung Electronics 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.| AIC | Akaike Information Criteria | 125.5119 |
| Bias | Arithmetic mean of the errors | -17.6667 |
| MAD | Mean absolute deviation | 82.5 |
| MAPE | Mean absolute percentage error | 0.0338 |
| SAE | Sum of the absolute errors | 4950.0 |
Other Forecasting Options for Samsung Electronics
Samsung Electronics' daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in Samsung often signals an upcoming reversal or acceleration. Gap analysis of Samsung Stock data examines overnight jumps between Samsung Electronics' closing and opening prices.Samsung Electronics Related Equities
Sizing up Samsung Electronics against these stocks within the Consumer Discretionary space shows how it compares on key financial measures. Checking Samsung Electronics against peers on P/E, margins, and return on equity helps put its position in context.
| Risk & Return | Correlation |
Samsung Electronics Market Strength Events
Market strength indicators help investors evaluate how Samsung Electronics stock reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading Samsung Electronics Co. These indicators can identify periods when trading Samsung Electronics Co may offer more favorable risk-reward conditions.
| Accumulation Distribution | 0.083 | |||
| Daily Balance Of Power | -0.71 | |||
| Rate Of Daily Change | 0.94 | |||
| Day Median Price | 2770.0 | |||
| Day Typical Price | 2730.0 | |||
| Market Facilitation Index | 240.0 | |||
| Price Action Indicator | -205.00 | |||
| Period Momentum Indicator | -170.00 | |||
| Relative Strength Index | 53.6 |
Samsung Electronics Risk Indicators
The analysis of Samsung Electronics' basic risk indicators is one of the essential steps in accurately forecasting its future price. Understanding the risk involved in holding Samsung Electronics' allows investors to make informed decisions about their exposure. The analysis of Samsung Electronics' basic risk metrics provides a foundation for managing investment risk.
| Mean Deviation | 3.16 | |||
| Semi Deviation | 3.4 | |||
| Standard Deviation | 4.05 | |||
| Variance | 16.36 | |||
| Downside Variance | 16.2 | |||
| Semi Variance | 11.56 | |||
| Expected Short fall | -3.48 |
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 Samsung Electronics
Coverage intensity for Samsung Electronics Co matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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Other Information on Investing in Samsung Stock
Financial ratios highlight how financial values interact within Samsung Electronics. Together, they show how profit and cash flow relate to valuation.