Progressive Stock Forecast - Double Exponential Smoothing

PGV Stock  EUR 241.15  2.20  0.92%   
The Double Exponential Smoothing forecasted value of The Progressive on the next trading day is expected to be 241.69 with a mean absolute deviation of 2.94 and the sum of the absolute errors of 173.47. Progressive Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Progressive's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
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 Progressive works best with periods where there are trends or seasonality.

Progressive Double Exponential Smoothing Price Forecast For the 8th of February

Given 90 days horizon, the Double Exponential Smoothing forecasted value of The Progressive on the next trading day is expected to be 241.69 with a mean absolute deviation of 2.94, mean absolute percentage error of 15.78, and the sum of the absolute errors of 173.47.
Please note that although there have been many attempts to predict Progressive Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Progressive's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Progressive Stock Forecast Pattern

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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 Progressive stock data series using in forecasting. Note that when a statistical model is used to represent Progressive 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 0.4609
MADMean absolute deviation2.9402
MAPEMean absolute percentage error0.0126
SAESum of the absolute errors173.4692
When The Progressive 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 The Progressive 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 Progressive observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Progressive

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Progressive. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
241.15241.15241.15
Details
Intrinsic
Valuation
LowRealHigh
217.04217.03265.27
Details
Bollinger
Band Projection (param)
LowMiddleHigh
219.25236.30253.34
Details

Progressive Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Progressive stock to make a market-neutral strategy. Peer analysis of Progressive could also be used in its relative valuation, which is a method of valuing Progressive by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Progressive Market Strength Events

Market strength indicators help investors to evaluate how Progressive stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Progressive shares will generate the highest return on investment. By undertsting and applying Progressive stock market strength indicators, traders can identify The Progressive entry and exit signals to maximize returns.

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Other Information on Investing in Progressive Stock

Progressive financial ratios help investors to determine whether Progressive Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Progressive with respect to the benefits of owning Progressive security.