Samsung Electronics Stock Forward View - Simple Regression
| SSUN Stock | EUR 1,872 -178.00 -8.68% |
The Simple Regression reference information for Samsung Electronics summarizes the forecasted value and model error statistics based on historical price data. This data is provided for reference and analytical review.
The Simple Regression forecasted value of Samsung Electronics Co on the next trading day is expected to be 2,113 with a mean absolute deviation of 82.57 and the sum of the absolute errors of 5,037.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 Samsung Electronics Co historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. Samsung Electronics's Simple Regression reference values are drawn from available trading data and are presented for informational reference only. Simple Regression Price Forecast For the 23rd of March
Given 90 days horizon, the Simple Regression forecasted value of Samsung Electronics Co on the next trading day is expected to be 2,113 with a mean absolute deviation of 82.57 , mean absolute percentage error of 12,035 , and the sum of the absolute errors of 5,037 .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
| Backtest Samsung Electronics | Samsung Electronics Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Samsung Electronics Co focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The current forecast range spans downside near 2,109 and upside near 2,118.
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 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 | 127.5061 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 82.5704 |
| MAPE | Mean absolute percentage error | 0.0468 |
| SAE | Sum of the absolute errors | 5036.792 |
Other Forecasting Options for Samsung Electronics
Investors evaluating Samsung at any level need to understand the significance of Samsung Electronics' price movement for their investment outcomes. The presence of noise in Samsung Stock price charts demands careful analysis to avoid misinterpreting short-term fluctuations as trends.Samsung Electronics Related Equities
Samsung Electronics's market space within the Consumer Discretionary space is best grasped by looking at the firms listed below. Key comparison metrics include price-to-earnings, profit margin, and revenue growth across Samsung Electronics' peer group. Investors should look for peers that steadily beat or lag Samsung Electronics across many periods. This peer set gives the context needed for a well-rounded view of Samsung Electronics.
| Risk & Return | Correlation |
Samsung Electronics Market Strength Events
Market strength indicators applied to Samsung Electronics help investors evaluate how the stock tracks overall market momentum and conditions. These signals are used to determine optimal timing for entering or exiting Samsung Electronics Co positions.
| Accumulation Distribution | 0.0765 | |||
| Daily Balance Of Power | -1.15 | |||
| Rate Of Daily Change | 0.91 | |||
| Day Median Price | 1947.5 | |||
| Day Typical Price | 1922.33 | |||
| Market Facilitation Index | 155.0 | |||
| Price Action Indicator | -164.50 | |||
| Period Momentum Indicator | -178.00 |
Samsung Electronics Risk Indicators
The assessment of Samsung Electronics' risk indicators plays a key role in forecasting its future price and managing investment exposure. Investors who measure Samsung Electronics' risk profile carefully are better equipped to decide how to manage their positions.
| Mean Deviation | 3.48 | |||
| Semi Deviation | 3.66 | |||
| Standard Deviation | 4.33 | |||
| Variance | 18.74 | |||
| Downside Variance | 19.75 | |||
| Semi Variance | 13.42 | |||
| Expected Short fall | -3.84 |
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
Story coverage around Samsung Electronics Co often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. A disciplined read of coverage separates durable relevance from temporary noise.
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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.