W R Stock Forward View - Double Exponential Smoothing

WRB Stock  USD 65.74  -0.48  -0.72%   
The reference data on this page reflects Double Exponential Smoothing output applied to W R Berkley's historical daily closing prices. Forecast values and accuracy statistics are presented for informational purposes.
The Double Exponential Smoothing forecasted value of W R Berkley on the next trading day is expected to be 65.40 with a mean absolute deviation of 0.74 and the sum of the absolute errors of 43.73.When W R Berkley 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 W R Berkley 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 W R observations are given relatively more weight in forecasting than the older observations. The forecast reference data presented here for W R Berkley reflects Double Exponential Smoothing model output and is intended as reference material for analytical use.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for W R works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 22nd of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of W R Berkley on the next trading day is expected to be 65.40 with a mean absolute deviation of 0.74 , mean absolute percentage error of 0.88 , and the sum of the absolute errors of 43.73 .
Please note that although there have been many attempts to predict WRB 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 W R'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 W R Berkley focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The current forecast range spans downside near 64.11 and upside near 66.69.
Market Value
65.74
65.40
Expected Value
66.69
Upside

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 W R stock data series using in forecasting. Note that when a statistical model is used to represent W R 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.1551
MADMean absolute deviation0.7412
MAPEMean absolute percentage error0.0107
SAESum of the absolute errors43.732
When W R Berkley 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 W R Berkley 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 W R observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for W R

Understanding W R's price movement is a prerequisite for any investor considering WRB as a position. WRB Stock price charts are frequently cluttered with noise that can interfere with accurate interpretation.

W R Related Equities

The following equities are related to W R within the Financials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing W R 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

W R Market Strength Events

For traders and investors in W R Berkley, market strength indicators offer a quantitative framework for evaluating the stock's responsiveness to market conditions. These tools help identify when trading W R shares is most likely to generate favorable returns.

W R Risk Indicators

Analyzing W R's risk indicators provides a critical input for price forecasting and investment risk management. By quantifying the risk in W R's investment, investors can make more informed decisions about their exposure and hedging strategies.
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 W R

Story coverage around W R Berkley 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.

W R Short Properties

Short-interest signals around W R Berkley can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
Common Stock Shares Outstanding399.1 M
Cash And Short Term Investments28.8 B

More Resources for WRB Stock Analysis

Understanding W R Berkley starts with its core financial statements, trend data, and ratio analysis. Financial ratios help explain how results are produced and sustained. The dataset reflects W R's available reporting history.