Selective Insurance Stock Forward View - Simple Moving Average
| SV2 Stock | EUR 63.50 -1.50 -2.31% |
Selective Insurance Group's Simple Moving Average reference page summarizes the forecasted price and model accuracy metrics derived from daily trading data. This reference information is provided for analytical context.
The Simple Moving Average forecasted value of Selective Insurance Group on the next trading day is expected to be 63.50 with a mean absolute deviation of 1.00 and the sum of the absolute errors of 60.17.The simple moving average model is conceptually a linear regression of the current value of Selective Insurance Group price series against current and previous (unobserved) value of Selective Insurance. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future This Simple Moving Average forecast data for Selective Insurance Group is sourced from the most recent available trading data and is intended solely as reference information. Simple Moving Average Price Forecast For the 22nd of March
Given 90 days horizon, the Simple Moving Average forecasted value of Selective Insurance Group on the next trading day is expected to be 63.50 with a mean absolute deviation of 1.00 , mean absolute percentage error of 1.72 , and the sum of the absolute errors of 60.17 .Please note that although there have been many attempts to predict Selective 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 Selective Insurance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Selective Insurance | Selective Insurance Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Selective Insurance Group focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The current forecast range spans downside near 61.86 and upside near 65.14.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Selective Insurance stock data series using in forecasting. Note that when a statistical model is used to represent Selective Insurance 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 | 116.8139 |
| Bias | Arithmetic mean of the errors | 0.1913 |
| MAD | Mean absolute deviation | 1.0029 |
| MAPE | Mean absolute percentage error | 0.0143 |
| SAE | Sum of the absolute errors | 60.175 |
Other Forecasting Options for Selective Insurance
The movement of Selective price is the central consideration for investors deciding whether to enter or hold a position. Noise in Selective Stock price charts can make it difficult to distinguish meaningful trends from random fluctuations.Selective Insurance Related Equities
The following equities are related to Selective Insurance within the Financials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Selective Insurance 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 |
Selective Insurance Market Strength Events
Investors use market strength indicators for Selective Insurance to evaluate how the stock performs relative to broader market trends. These indicators support more precise timing of Selective Insurance Group positions, helping investors maximize return and minimize poorly-timed trades.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 63.5 | |||
| Day Typical Price | 63.5 | |||
| Price Action Indicator | -0.75 | |||
| Period Momentum Indicator | -1.50 |
Selective Insurance Risk Indicators
A careful analysis of Selective Insurance's basic risk indicators provides context for understanding the risk environment surrounding selective stock. This understanding is an essential input for forecasting Selective Insurance's future price and for deciding how to manage the associated investment risk.
| Mean Deviation | 1.25 | |||
| Standard Deviation | 1.61 | |||
| Variance | 2.61 |
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 Selective Insurance
Story coverage around Selective Insurance Group often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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More Resources for Selective Stock Analysis
A full view of Selective Insurance is built from its financial statements and trend data. Financial ratios summarize performance across earnings and efficiency. The data reflects Selective Insurance's reported financial activity across periods. The following reports provide structured context for Selective Insurance Group Stock:Cross-verify projections for Selective Insurance using Historical Fundamental Analysis of Selective Insurance. The analysis adds historical context for the projection set. Multi-period data helps identify trends and inflection points in Selective Insurance's fundamentals. With Selective Insurance showing P/E 18.07 and ROE 13.86%, investors get more value when this analysis is combined with the diversification and construction tools below. Combining those profitability and valuation signals with the risk, diversification, and comparative tools below produces a more informed Financial Services position-sizing decision. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.