Herman Miller (Germany) Statistic Functions Beta

MHR Stock  EUR 24.40  0.40  1.67%   
Herman Miller statistic functions tool provides the execution environment for running the Beta function and other technical functions against Herman Miller. Herman Miller value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. Herman Miller 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.

The output start index for this execution was seven with a total number of output elements of fifty-four. The Beta measures systematic risk based on how returns on Herman Miller correlated with the market. If Beta is less than 0 Herman Miller generally moves in the opposite direction as compared to the market. If Herman Miller Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Herman Miller is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Herman Miller is generally in the same direction as the market. If Beta > 1 Herman Miller moves generally in the same direction as, but more than the movement of the benchmark.

Herman Miller Technical Analysis Modules

Most technical analysis of Herman Miller help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Herman from various momentum indicators to cycle indicators. When you analyze Herman charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Herman Miller Predictive Technical Analysis

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 Herman Miller. We use our internally-developed statistical techniques to arrive at the intrinsic value of Herman Miller based on widely used predictive technical indicators. In general, we focus on analyzing Herman Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Herman Miller'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 Herman Miller's intrinsic value. In addition to deriving basic predictive indicators for Herman Miller, we also check how macroeconomic factors affect Herman Miller price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
21.8124.4026.99
Details
Intrinsic
Valuation
LowRealHigh
20.9223.5126.10
Details
Naive
Forecast
LowNextHigh
22.2424.8327.42
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
20.4922.5924.69
Details

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Other Information on Investing in Herman Stock

Herman Miller financial ratios help investors to determine whether Herman 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 Herman with respect to the benefits of owning Herman Miller security.