Hamilton Beach Stock Forecast - Naive Prediction

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HBB -- USA Stock  

Report: 29th of July 2020  

Hamilton Beach Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Hamilton Beach historical stock prices and determine the direction of Hamilton Beach Brands's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Hamilton Beach historical fundamentals such as revenue growth or operating cash flow patterns. Although Hamilton Beach naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Hamilton Beach Brands systematic risk associated with finding meaningful patterns of Hamilton Beach fundamentals over time. Please check Historical Fundamental Analysis of Hamilton Beach to cross-verify your projections.

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Hamilton Beach PPandE Turnover is expected to decrease significantly based on the last few years of reporting. The past year's PPandE Turnover was at 27.27. The current year Receivables Turnover is expected to grow to 6.62, whereas Asset Turnover is expected to decline to 1.88. . Hamilton Beach Weighted Average Shares is expected to increase significantly based on the last few years of reporting. The past year's Weighted Average Shares was at 13.69 Million. The current year Weighted Average Shares Diluted is expected to grow to about 15.2 M, whereas Issuance Purchase of Equity Shares is expected to decline to (5.8 M).
A naive forecasting model for Hamilton Beach is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Hamilton Beach Brands value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Hamilton Beach Naive Prediction Price Forecast For the 7th of July

Given 30 days horizon, the forecasted value of Hamilton Beach Brands on the next trading day is expected to be  11.10  with a mean absolute deviation of  0.65 , mean absolute percentage error of  0.66 , and the sum of the absolute errors of  39.70 

Hamilton Beach Stock Forecast Pattern

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Hamilton Beach Forecasted Value

Market Value
6th of July 2020
Expected Value

Model Predictive Factors

AICAkaike Information Criteria117.6931
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6509
MAPEMean absolute percentage error0.0589
SAESum of the absolute errors39.7047
This model is not at all useful as a medium-long range forecasting tool of Hamilton Beach Brands. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Hamilton Beach. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Hamilton Beach

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hamilton Beach Brands. 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.
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Other Forecasting Options for Hamilton Beach

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Hamilton Beach Brands Technical and Predictive Analytics

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Please check Historical Fundamental Analysis of Hamilton Beach to cross-verify your projections. Please also try Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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