Public Power Stock Forecast - Triple Exponential Smoothing

Public Power Additional Predictive Modules

Most predictive techniques to examine Public price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Public using various technical indicators. When you analyze Public 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. Triple exponential smoothing for Public Power - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Public Power 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 trend in Public Power price movement. However, neither of these exponential smoothing models address any seasonality of Public Power.

Public Power Triple Exponential Smoothing Price Forecast For the 27th of January

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Public Power on the next trading day is expected to be 19.58 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.05, and the sum of the absolute errors of 10.02.

Public Power Stock Forecast Pattern

Backtest Public Power

Public Power Price Prediction

Buy or Sell Advice

Public Power Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Public Power stock data series using in forecasting. Note that when a statistical model is used to represent Public Power 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. As with simple exponential smoothing, in triple exponential smoothing models past Public Power observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Public Power observations.

Predictive Modules for Public Power

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Public Power. 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 18.03 19.30 20.57 Details

Intrinsic Valuation Low Real High 17.37 21.46 22.73 Details

Bollinger Band Projection (param) Low Middle High 17.55 18.42 19.29 Details

Public Power After-Hype Price Density Analysis

Public Power Estimiated After-Hype Price Volatility

Public Power Stock Price Outlook Analysis

Notes

Public Power Hype Timeline

Public Power is at this time traded for 19.51on Athens Exchange of Greece. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Public is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.43%. %. The volatility of related hype on Public Power is about 0.0%, with the expected price after the next announcement by competition of 19.51. About 34.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.64. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Public Power recorded a loss per share of 0.39. The entity last dividend was issued on the 20th of July 2015. Assuming the 90 days trading horizon the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of Public Power to cross-verify your projections.

Public Power Related Hype Analysis

Other Forecasting Options for Public Power

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

Public Power Related Equities

Risk & Return

Correlation

Public Power Market Strength Events

Public Power Risk Indicators

Story Coverage note for Public Power

Other Macroaxis Stories

Additional Tools for Public Stock Analysis