Hamilton Statistic Functions Linear Regression

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HBB -- USA Stock  

Earnings Report: 29th of July 2020  

Hamilton Beach statistic-functions tool provides you with the Statistic Functions execution environment for running Linear Regression function against Hamilton Beach. Hamilton Beach statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.
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The output start index for this execution was four with a total number of output elements of fifty-seven. The Linear Regression model generates relationship between price series of Hamilton Beach Brands and its peer or benchmark and helps predict Hamilton Beach future price from its past values. View also all equity analysis or get more info about linear regression statistic functions indicator.

Additional Technical Research

About Hamilton Beach Predictive Technical Analysis

The Macroaxis Predictive Technical Analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Hamilton Beach Brands. We use our internally-developed statistical techniques to arrive at the intrinsic value of Hamilton Beach Brands based on widely used predictive technical indicators. In general, we focus on analyzing Hamilton Beach stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Hamilton Beach's daily price indicators and compare them against related drivers such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Hamilton Beach's intrinsic value. In addition to deriving basic predictive indicators for Hamilton Beach, we also check how macroeconomic factors affect Hamilton Beach price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Earnings
Estimates (1)
LowProjected EPSHigh
1.851.851.85
Details
Hype
Prediction
LowEstimated ValueHigh
1.099.7118.33
Details
Intrinsic
Valuation
LowReal ValueHigh
3.8712.4921.11
Details
Naive
Forecast
LowNext ValueHigh
2.7211.3419.96
Details
Analysts
Consensus (1)
LowTarget PriceHigh
15.0015.0015.00
Details

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