Bank of America Preferred 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 Bank of America works best with periods where there are trends or seasonality.

Bank of America Double Exponential Smoothing Price Forecast For the 27th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Bank of America on the next trading day is expected to be 1,244 with a mean absolute deviation of 6.11, mean absolute percentage error of 67.91, and the sum of the absolute errors of 360.58.

Bank of America Preferred Stock Forecast Pattern

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Bank of America Forecasted Value

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

Predictive Modules for Bank of America

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bank of America. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred 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 1,241 1,242 1,243 Details

Intrinsic Valuation Low Real High 1,181 1,182 1,366 Details

Other Forecasting Options for Bank of America

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

Bank of America Related Equities

Risk & Return

Correlation

Bank of America Technical and Predictive Analytics

The preferred stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Bank of America's 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 Bank of America's current price.

Bank of America Market Strength Events

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