Synopsys Stock Forecast - Double Exponential Smoothing

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 Synopsys works best with periods where there are trends or seasonality.

Synopsys Double Exponential Smoothing Price Forecast For the 27th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Synopsys on the next trading day is expected to be 563.17 with a mean absolute deviation of 8.74, mean absolute percentage error of 141.62, and the sum of the absolute errors of 515.88.

Synopsys 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 Synopsys stock data series using in forecasting. Note that when a statistical model is used to represent Synopsys 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. When Synopsys 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 Synopsys 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 Synopsys observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Synopsys

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Synopsys. 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 Low Estimated High 558.48 560.84 563.20 Details

Intrinsic Valuation Low Real High 509.48 511.84 618.06 Details

Bollinger Band Projection (param) Low Middle High 519.60 548.56 577.52 Details

21 Analysts Consensus Low Target High 440.09 483.61 536.81 Details

Other Forecasting Options for Synopsys

For every potential investor in Synopsys, whether a beginner or expert, Synopsys' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Synopsys Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Synopsys. Basic forecasting techniques help filter out the noise by identifying Synopsys' price trends.

Synopsys Related Equities

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Correlation

Synopsys Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Synopsys' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Synopsys' current price.

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