WSFS Financial Stock Forward View - Double Exponential Smoothing
| WSFS Stock | USD 63.81 -0.28 -0.44% |
WSFS Financial's Double Exponential Smoothing reference data is generated by applying the model to available daily closing prices. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Double Exponential Smoothing forecasted value of WSFS Financial on the next trading day is expected to be 63.83 with a mean absolute deviation of 0.81 and the sum of the absolute errors of 47.89.When WSFS Financial prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any WSFS Financial trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent WSFS Financial observations are given relatively more weight in forecasting than the older observations. WSFS Financial's Double Exponential Smoothing reference data is provided for informational and analytical purposes and does not constitute a trading recommendation. Double Exponential Smoothing Price Forecast For the 25th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of WSFS Financial on the next trading day is expected to be 63.83 with a mean absolute deviation of 0.81 , mean absolute percentage error of 1.37 , and the sum of the absolute errors of 47.89 .Please note that although there have been many attempts to predict WSFS 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 WSFS Financial's 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
The next-day forecast for WSFS Financial focuses on identifying predictive downside and upside bands that can frame a realistic trading range. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of WSFS Financial stock data series using in forecasting. Note that when a statistical model is used to represent WSFS Financial 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0437 |
| MAD | Mean absolute deviation | 0.8118 |
| MAPE | Mean absolute percentage error | 0.013 |
| SAE | Sum of the absolute errors | 47.8943 |
Other Forecasting Options for WSFS Financial
Analyzing WSFS Financial's price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in WSFS Financial's chart can signal overbought or oversold conditions.WSFS Financial Related Equities
These stocks are related to WSFS Financial within the Financials space and can be used for peer review, pricing, or spreading risk. Growth rate gaps between WSFS Financial and its peers often explain pricing differences in the market. Persistent outperformance or underperformance by specific peers relative to WSFS Financial often signals structural advantages or weaknesses.
| Risk & Return | Correlation |
WSFS Financial Market Strength Events
Market strength indicators for WSFS Financial stock provide a framework for assessing security responsiveness. These metrics are widely used to refine market timing and identify favorable moments to trade WSFS Financial.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 63.81 | |||
| Day Typical Price | 63.81 | |||
| Price Action Indicator | -0.14 | |||
| Period Momentum Indicator | -0.28 | |||
| Relative Strength Index | 52.4 |
WSFS Financial Risk Indicators
Assessing WSFS Financial's risk indicators is a critical component of any rigorous approach to forecasting its future price. Forecasting WSFS Financial's future price accurately requires understanding and quantifying the risks present in the investment.
| Mean Deviation | 1.24 | |||
| Semi Deviation | 1.4 | |||
| Standard Deviation | 1.78 | |||
| Variance | 3.18 | |||
| Downside Variance | 2.5 | |||
| Semi Variance | 1.95 | |||
| Expected Short fall | -1.42 |
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 WSFS Financial
Coverage intensity for WSFS Financial matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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WSFS Financial Short Properties
Reviewing short-oriented indicators for WSFS Financial is useful because long and short participants often create very different signals for timing and volatility. This is most valuable when investors want to know whether bearish pressure is starting to shape the market's reaction function.
| Common Stock Shares Outstanding | 54.4 M | |
| Cash And Short Term Investments | 1.4 B |
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